Fulltime Data Scientist openings in Columbus, Ohio on September 13, 2022

Data Scientist at SUN CLOUD LLC

Location: Columbus

Job Role: Data Scientist

Duration Type: Contract to hire

This a fully onsite position : Stamford, CT or Columbus, OH, or Coppell, TX

Project Details (size, scale, scope) // Positions Day to Day Responsibilities

Looking for someone with advanced analytical skills. Machine learning, data science skills. This role is an evolving role. This group is growing. This person will be an individual contributor to being, doing work on their own. This person will have to do analysis with large data groups, looking to get into predictive modeling. There is a lot of data for sales people, want to look at activity and how is it going to increase probability of sales. Flexible on experience. This person would be promoted to manager within a year.

What are the top 3:

Python Experience

MUST HAVE requirements of the position (years of experience, technical, etc.)

1-3 years of experience Machine learning experience Predictive modeling Data Isolation At some point wants to get information into Micro Strategy KPI

Creation

NICE TO HAVES : Worked in sales organization.
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Data Scientist Senior at PNC

Location: Columbus

Job Profile

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Scientist within PNC’s Retail Lending organization, you will be based within the PNC footprint, except for Colorado, Hawaii, or Alaska. This is a remote position and can sit anywhere within the PNC footprint. In-person activities may occur periodically based on business needs.

In this role you will:
• Join a team of data scientists and engineers, in collaboration with product managers to uncover and prevent complex fraudulent activity within a wide variety of products and channels
• Utilize a wide array of technologies such as Python, PySpark, Tableau, Neo4j and others to identify anomalous patterns within large amounts of transactional data
• Build and implement traditional and machine learning models (Logistic Regression, XGBoost, Random Forest, Collaborative Filtering, Neural Networks, etc.) models from inception to implementation, while collaborating with product managers and business leaders to drive fraud objectives Preferred Qualifications:
• Experience in data mining/exploration in banking or similar industries, with an emphasis on large data and effectively communicate insights and results
• Knowledge of statistically modeling and analytical techniques (supervised, unsupervised, clustering, classification, etc.)
• Comfortable with a team-based project structure, with experience in code collaboration tools such as Git and JIRA focused on developing modular, readable, and adaptable code
• Strong understanding of data engineering, with the ability to transform raw data into robust features as input to machine learning algorithms Job Description
• Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
• Directs the data gathering, data processing and data mining of large and complex datasets.
• Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
• Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.
• Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
• Customer Focused – Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk – Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC’s Enterprise Risk Management Framework. Competencies Data Architecture – Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.Data Mining – Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.Disruptive Innovation – Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.Information Capture – Knowledge of the processes and the ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.Machine Learning – Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.Modeling: Data, Process, Events, Objects – Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.Prototyping – Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.Query and Database Access Tools – Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system. Work Experience Roles at this level typically require a university/college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered. Education Masters

Additional Job Description

Benefits

PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for Full time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit > New to PNC.

Disability Accommodations Statement:

The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call and select Option 4: Recruiting or contact us via email at .

The Human Resources Service Center hours of operation are Monday – Friday 9:00 AM to 5:00 PM ET.

Equal Employment Opportunity (EEO):

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice () to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
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Sr data scientist at GlaxoSmithKline

Location: Columbus

Site Name : USA – Pennsylvania – Upper Providence, UK – London – Brentford, USA – Maryland – Baltimore, USA – Massachusetts – Boston, USA – New York – Buffalo, USA – New York – Rochester, USA – North Carolina – Durham, USA – Ohio – Cleveland, USA – Ohio – Columbus Posted Date : Sep 1 2022 Are you energized by the challenge of innovating and accelerating drug development using intelligent bioimaging technologies?

If so, this Data Scientist position could be an exciting opportunity to consider. As a Data Scientist in Bioimaging Analytics, you will be responsible for : Delivering state-of-the-art analytics solutions to improve project cycle time, supporting a range of imaging technologies, including but not limited to CT, PET, MRI, tissue / cellular and ultracellular imaging.

Being the key liaison with internal and external partners to translate extracted information into relevant biology understanding, aligned with business needs to support decision-making endpoints for drug discovery and development.

Leading the development, optimization and deployment of data processing pipelines at scale on appropriate infrastructures and interfaces, including high-performance computing infrastructure.

Why you? Basic Qualifications : Master’s or higher degree in data science or related fields, with demonstrable knowledge in artificial intelligence, machine learning, computer vision.

At least three years of experience in bioimage analysis procedures, including but not limited to signal enhancement, denoising, data preprocessing, image segmentation, object detection, feature engineering / extraction, dimensionality reduction, predictive modelling, biostatistics, derived data visualization and exploration.

Three or more years of experience with best practices in code-, data- and metadata- warehousing and versioning, high-performance clusters / cloud computing platforms.

Three or more years of experience utilizing Python, R or other programming languages for data modeling and visualization, able to translate computerized features into meaningful biomedical understanding.

Preferred Qualifications : If you have the following characteristics, it would be a plus : Ph.D., post-grad degree with proven skills and published research / work related to computer vision, radiology / radiomics.

Familiarity with integrative multi-omics and / or multi-modality data fusion, system biology, network analysis. Experience in MLOps, continual learning, human-in-the-loop productions, data visualization, and business intelligence platforms such as Power BI, Spotfire.

Accountable communicator to provide a collaborative interface with project stakeholders, fellow data scientists, and engineering teams.

One or more years of experience in image acquisition techniques (e.g. CT / PET / MRI / fluorescent imaging assays) Why GSK?

At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader in Consumer Health, strengthening our leadership, and transforming our commercial execution.
• Now, we’re making the biggest changes we’ve made to our business in over 20 years. We’re on track to separate and create two new companies in 2022 : New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and genetics science;
• and a new world-leading consumer healthcare company of loved and trusted brands. With new ambition comes new purpose. For New GSK, this is to unite science, talent and technology to get ahead of disease together – all with the clear ambition of delivering human health impact;

stronger and more sustainable shareholder returns; and as a new GSK where outstanding people thrive. Getting ahead means preventing disease as well as treating it.

How we do all this is through our people and our culture. A culture that is ambitious for patients – so we deliver what matters better and faster;

accountable for impact – with clear ownership of goals and support to succeed; and where we do the right thing. So, if you’re ready to improve the lives of billions, join us at this exciting moment in our journey.

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity / expression, age, disability, genetic information, military service, covered / protected veteran status or any other federal, state or local protected class.

At GSK, the health and safety of our employees are of paramount importance. As a science-led healthcare company on a mission to get ahead of disease together, we believe that supporting vaccination against COVID-19 is the single best thing we can do in the US to ensure the health and safety of our employees, complementary workers, workplaces, customers, consumers, communities, and the patients we serve.

GSK has made the decision to require all US employees to be fully vaccinated against COVID-19, where allowed by state or local law and where vaccine supply is readily available.

The only exceptions to this requirement are employees who are approved for an accommodation for religious, medical or disability-related reasons.

Important notice to Employment businesses / Agencies GSK does not accept referrals from employment businesses and / or employment agencies in respect of the vacancies posted on this site.

All employment businesses / agencies are required to contact GSK’s commercial and general procurement / human resources department to obtain prior written authorization before referring any candidates to GSK.

The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business / agency and GSK.

In the absence of such written authorization being obtained any actions undertaken by the employment business / agency shall be deemed to have been performed without the consent or contractual agreement of GSK.

GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses / agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment.

This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements.

For more information, please visit GSK’s Transparency Reporting For the Record site.PDN-970e4a3f-42dd-4866-833b-dda3950491c2

Last updated : 2022-09-13
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Data Science – Consumer Banking Marketing Analytics at JPMorgan Chase & Co.

Location: Columbus

The CCB Data & Analytics Team unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers. The team encompasses a variety of Data & Analytics disciplines, from data governance and data strategy/partnerships to reporting, data science and machine learning, and are actively engaged in ensuring impact at the front-line and the customer through Sales and Marketing transformation. We have a strong partnership with our dedicated Technology partners, who provide us with our cutting edge data and analytics infrastructure. Joining CCB Data & Analytics means you sit in the engine that powers Chase with insights, providing an opportunity to materially impact both our customer and business outcomes. The team also offers significant learning and mobility opportunities for career development and future growth.

Consumer Bank Decision Sciences team within CCB Data & Analytics is responsible for measuring the effectiveness of and driving Chase’s Consumer Bank strategies across marketing, sales, distribution, pricing and customer analytics. The results and learnings from these analyses, which seek to quantify both statistical and practical significance, are used to drive future strategy using a full suite of analytical techniques. We are seeking to fill roles within both Customer Analytics and Marketing Analytics teams.

The Data Scientist In This Role Will
• Develop reporting for Consumer Bank strategies including performance of marketing campaigns or customer segmentation
• Consult with business partners on analytical needs and make strategy recommendations
• Solve unstructured business problems and develop deep dive analysis of customer behavior using multiple analytics and statistical techniques.
• Interpret results and present to stakeholders and senior management
• Continuously develop skills to provide best-in-class analytics to the business

Minimum Qualifications
• Bachelor’s and Master’s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
• 3+ years of experience in applying statistical methods to real world problems
• 3+ years of experience with SQL and at least one of the following analytical tools: SAS, Python, R (Python preferred)
• Experience with visualization techniques for data analysis and presentation (Tableau preferred)
• Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners

Successful Candidates In This Role Are
• Intellectually curious and eager to learn new things with an eye towards innovation
• Strategic thinkers with the ability to focus on business goals
• Excellent at solving unstructured problems independently
• Highly organized and able to prioritize multiple tasks
• Strong communicators and able to build relationships with key stakeholders

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the “WELL Health-Safety Rating” for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.

As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. Employees are expected to follow the Firm’s current COVID-19 or other infectious disease health and safety requirements, including local requirements. Requirements include sharing information including your vaccine card in the firm’s vaccine record tool, and may include mask wearing. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests as required by applicable law.

Equal Opportunity Employer/Disability/Veterans
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Data Scientist at Deloitte & Touche

Location: Columbus

• Do you thrive on developing creative and innovative insights to solve complex challenges?
• Want to work on next-generation, cutting-edge products and services that deliver outstanding value and that are global in vision and scope?
• Work with other experts in your field?
• Work for a world-class organization that provides an exceptional career experience with an inclusive and collaborative culture?
• Want to make an impact that matters?
• Consider Deloitte Global.
• You will provide reporting and analysis support for Deloitte Technology’s Infrastructure Services.
• Provide visibility and insights to customers concerning their environment such as activity and usage information, hardware and software inventory, and compliance.
• Provide capacity information to network infrastructure teams.
• Develop analytics and dashboards using Splunk and/or Microsoft Power BI.
• Develop SQL and SPL queries to solve data retrieval problems quickly.
• Create and improve API integration automation solutions using Python or other coding languages.
• Create models and forecasts of device and application statistics.
• Meet with customers to collect requirements on new projects.
• At Deloitte, we expect results.
• And Deloitte Global professionals play a unique role in delivering those results.
• We reach across disciplines and borders to serve our global organization.
• We are the engine of Deloitte.
• We develop and implement global strategies and provide programs and services that unite our network.
• In Deloitte Global, everyone has opportunities.
• We see the importance of your perspective and your ability to create value.
• We want you to fit in-with an inclusive culture, focus on work-life fit and well-being, and a supportive, connected environment; but we also want you to stand out-with opportunities to have a strategic impact, innovate, and take the risks necessary to make your mark.
• Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world.
• In this truly global environment, we operate not in “what is” but rather “what can be” to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.
• Bachelor’s Degree/College Diploma in Computer Science, Networking, Management of Information Systems, Analysis/statistics focused disciplines including Statistics or any STEM/Social Science field with quantitative research experience or relevant experience
• 3-5 years professional experience, with accomplishments in education desired; minimum 1 year of related Analyst experience or portfolio of relevant work
• Knowledge and experience in statistics, machine learning, or applied analytics
• Knowledge of programming language(s) including: R, Python, JavaScript, and/or PowerShell
• Knowledge of SQL and Relational Databases (NoSQL is a plus)
• Knowledge of REST APIs
• Deloitte Global inspires leaders at every level.
• We believe in investing in you, helping you embrace leadership opportunities at every step of your career, and helping you identify and hone your unique strengths.
• We encourage you to grow by providing formal and informal development programs, coaching and mentoring, and on-the-job challenges.
• We want you to ask questions, take chances, and explore the possible.
• Deloitte’s Total Rewards program reflects our continued commitment to lead from the front in everything we do-that’s why we take pride in offering a comprehensive variety of programs and resources to support your health and well-being needs.
• We provide the benefits, competitive compensation, and recognition to help sustain your efforts in making an impact that matters.
• Deloitte is led by a purpose: to make an impact that matters.
• This purpose defines who we are and extends to relationships with our clients, our people, and our communities.
• We believe that business has the power to inspire and transform.
• We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities.
• #LI-Hybrid Hybrid work, remote may be an option
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Data Science – Consumer Banking Marketing Analytics – Columbus and/or Delaware at JPMorgan Chase & Co.

Location: Columbus

The CCB Data & Analytics Team unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers. The team encompasses a variety of Data & Analytics d…Data Science, Analytics, Marketing, Banking, Science, Data, Technology
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Data Analyst at Deloitte

Location: Columbus

Are you an experienced, passionate pioneer in technology? An industry solutions professional who wants to work in a collaborative environment. As an experienced Data Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. PDM practitioners are local to project locations, minimizing extensive travel, and provides you with a full career path within the firm.

Work You’ll Do/Responsibilities

This is an opportunity to join a fast-paced team that plays a key role in the overall success of our organization through technology enablement. You’ll play a critical part in driving our technology vision forward and ensuring that we execute across multiple initiatives.

The Team

As a part of the US (United States) Strategy & Analytics Offering Portfolio, the AI (Artificial Intelligence) & Data Operations offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.

Required

Qualifications
• A minimum of 2+ years of experience as a Data Scientist or Machine Learning Engineer, from experimentation and prototyping to deployment.
• Experience with machine learning and deep learning modeling in one or more of the following areas: anomaly detection, forecasting, causal inference, NLP, data mining or content analysis.
• Proficient in software engineering and skillful hands-on implementation with Python and Pyspark.
• Experience in design, implementation, and delivery of scalable build/test/release agile software development cycle.
• Proficient with machine learning and deep learning packages and framework.
• Experienced with big data technologies, such as Hadoop and Spark for large scale datasets. Well-versed in SQL languages.
• Ability to communicate effectively (written and spoken).
• Ability to work with the multi-location development teams and self-manage own work.
• Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
• Limited immigration sponsorship may be available.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
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Scientist at Nationwide

Location: Columbus

As a team member in the Finance and Internal Audit department at Nationwide, the opportunities are endless! You can grow and learn in diverse areas across many disciplines such as Advanced Analytics, Investments, Actuarial, Accounting, Risk Management, Critical Business Advisor and so much more.

Internal Compensation Grade : H5

Location : This position can be filled as Hybrid.

The Enterprise Analytics Office (EAO) is the centralized AI (Artificial Intelligence) / ML (Machine Learning) & Statistical Modeling function at Nationwide under the Office of Chief Financial Officer, focusing on pioneering advanced analytics solutions to deliver superior value to our members, partners, and company, throughout the entire model lifecycle.

As the number of deployed models continues to grow, the integration with mission critical business processes and applications becomes tighter, the sophistication of the decision automation / orchestration increases over time, and the awareness and scrutiny from regulatory / compliance and ethics lenses amplifies, we are looking for an experienced industry leader and forward thinker to build out a model lifecycle management and governance function within EAO.

The goal for this function is to develop and roll out a set of frameworks and best practices, comprised of policies, procedures, and processes, as well as associated technology solutions provided by our technology partners, to help Nationwide reduce risks, improve operational efficiency, and ensure the quality of our AI / ML / Statistical models.

The ideal candidate should :
• Possess hands-on experience in and deep understanding of the Statistical and AI / ML model development and deployment lifecycle.
• Be a brave and out of box forward thinker and pioneer to chart the unmapped territories.
• Command great communication skills to get buy-in and rally large number of stakeholders behind new innovative but pragmatic approaches.
• Act as a change agent to guide and collaborate with many partners / stakeholders across the enterprise through the journey together.

Job Description Summary

Do you have the desire to play a critical role in driving data-based business outcomes? At Nationwide, our Analytic Scientists are responsible for modeling complex problems, discovering insights and identifying business opportunities using scientific research methods, statistics, machine learning, and data visualization techniques.

They participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment, and presentation of results.

We value a dedication to lifelong learning and strong quantitative judgment. If you are a methodological generalist who is adept at applying your technical skill set to a wide range of business applications, we want to know more about you!

As a Director, you’ll lead a team of Analytic Scientists and work directly with business partners to define project scope and build solutions.

We’ll count on you to structure and lead large, complex analyses across one or more business areas and effectively synthesize analytic results to improve business outcomes.

You’ll build lasting business relationships across and help business leaders navigate complex, competing objectives. You’ll be a subject matter authority, in both analytical and business applications, and will communicate effectively with technical and non-technical audiences.

Your proficiency with advanced statistical and machine learning techniques will help you direct the application of these techniques to solve complex problems.

Key Responsibilities

Leads a team that works on a wide array of statistical and machine learning projects across the enterprise.

Collaborates with business partners to build consensus around problems of broad scope and business impact. Guides the research, analysis, implementation and monitoring of modeling methodology to solve those problems.

Upholds a high standard for methodological rigor, sound statistical inference and robust model validation.

Plans and manages the execution of analytic work including defining project scope, schedule, resource requirements and delivery timelines.

Collaborates with multiple departments or business functions to accomplish management goals, objectives and tasks.

Communicates technical work to leadership.

Demonstrates knowledge of a wide array of business practices and business knowledge. Applies knowledge to direct projects that provide creative solutions to complex business problems.

Directs associate management, including performance management, salary planning and administration, training and development, workflow and organizational planning, hiring and placement, and disciplinary actions.

May perform other responsibilities as assigned.

Reporting Relationships : Reports to Associate Vice President, Vice President. Manages a team of 4 or more associates responsible for creating a high-performance, business-focused team.

Ensures that team members at all levels are supported with career development, succession planning, performance management, etc.

Typical Skills and Experiences :

Education : Preferred undergraduate or graduate studies in statistics, engineering, math, quantitative social science fields, or related areas.

Experience building and deploying machine learning and / or statistical models or executing quantitative research studies may be considered in lieu of formal education.

Experience : Typically, 10 or more years of related work experience in a relevant field.

Knowledge, Abilities and Skills :

Quantitative judgment : Demonstrated knowledge of building and deploying machine learning and / or statistical models.

Research methods : Knowledge of multiple quantitative research and analysis approaches and their tradeoffs.

Strong project management skills and the ability to handle multiple large projects simultaneously.

Advanced written and verbal communication skills. Ability to communicate technical concepts to all levels of leaders and associates.

Seeks and objectively considers input from appropriate sources. Considers implications of actions on other areas, people, and processes when making decisions.

Drives decisions, projects, and processes without formal authority. Works directly with a variety of people to create broad acceptance for proposed innovations and changes.

Implements changes which improve business processes. Anticipates and responds to changing situations, needs and expectations.

Able to handle large and complex engagements focused on broader business activities.

Ability to lead key relationships and act independently.

Programming ability : Python, R, SQL, or any other transferrable language (MATLAB, Java, etc.).

Passion, inquisitiveness, creativity, self-starters and team builders.

Other criteria, including leadership skills, competencies and experiences may take precedence.

Staffing exceptions to the above must be approved by the Vice President and HR Vice President.

Values : Regularly and consistently demonstrates the Nationwide Values.

Job Conditions :

Overtime Eligibility : Exempt (Not Eligible)

Working Conditions : Normal office environment

ADA : The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

Benefits

We have an array of benefits to fit your needs, including : medical / dental, paid time off plus nine paid holidays, 401(k) with company match, company-paid pension plan, business casual attire, and more.

To learn more about the benefits we offer, click here .

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged.

Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

Last updated : 2022-09-13
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Database /Analytics Engineer at UNICON International, Inc.

Location: Columbus

Job Description
Must Have:

2+ years of experience with relational databases/SQL
3+ years of analytics Experience
Masters Degree
Quantitative Modeling

Nice to Have:

R, Python, or Similar

JOB DESCRIPTION
Provides support for assigned business process and/or system within a business unit which includes the following: – Maintains, monitors, updates assigned business process and/or system – Researches complex problems and acts independently to resolve – Analyzes existing business process and or systems and determines technical or procedural improvements and implements changes – Develops and provides documentation for users and training purposes Develops operational procedures for products, services and systems supported. Designs processes to meet regulatory requirements. Develops and generates specialized and ad hoc reports. Analyzes reports and makes recommendations for improvements in processes and /or systems. Provides technical support to business unit, customers, management and other users. Acts as liaison between software vendors and process/system users or between users and other corporate areas. May serve as lead analyst in training or projects.

Job Description
Our Enterprise Analytics department is growing, and we’re looking for an outstanding candidate to join our team in the role of Senior Consultant. As a member of this team, you will be responsible for developing analytic solutions to emerging business problems, including predictive models, clustering algorithms, optimization, and descriptive analytics.
Key Responsibilities
Work closely with partners in the Commercial bank and other internal clients to deliver analytics solutions.
Develop predictive models, including data sourcing, model fitting and validation, and presenting results.
Drive innovation and improvement in analytic support to business objectives.
Manage, build, and calibrate statistical and machine learning models.
Apply automation techniques to manual processes to create efficiency, improve accuracy, and build upon successes that create a suite of self-service assets
Basic Requirements
Master’s Degree in Statistics, Economics, Data Science, or related field.
3 years of experience working in financial services, retail, healthcare, telecommunications, consulting, or similar.
3 years of experience working in statistical programming with Python, R, or another similar language.
Preferred Skills and Characteristics
PhD in Statistics, Economics, Data Science, or related field preferred.
Experience with programming languages such as Python, Java, or C++ in a data mining context.
Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop.
Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, or SAS
Development of optimization algorithms.
Excellent written and verbal communication skills, with a proven ability to interact effectively across all organizational levels.
Progressive thinking and problem solving, with a strong ability to manage ambiguity/complexity.
Ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
Experience working in a consumer-centric company with teams of technical professionals in a cross-functional environment.
Willingness to embrace change, constructively negotiate constraints, and effectively leverage resources to create exceptional outcomes.
Talent for inspiring high levels of professional demeanor and integrity.
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Sr scientist at Owens Corning

Location: Columbus

PURPOSE OF THE JOB

The Sr. Scientist, Nonwovens Fundamental Science & Advanced Chemistries, will be accountable for developing and maintaining expertise in the fundamental chemical properties of fiberglass nonwovens to enable smart and fast product development and manufacturing efficiency.

The ideal applicant will possess technical depth and breadth in the field of composites chemistry design, more specifically of nonwovens design fiber sizing, fiber coatings, nonwovens mat development, resin / binder chemistries, coating, and nonwoven manufacturing process chemistry.

Deep understanding of material science characterization techniques (i.e. surface energy / tension, electrochemical behavior, etc.

and physicochemical analysis are key capabilities for this role.

Join an organization that believes that every employee owns a piece of our bold growth goals and ultimate success. We are a market-leading innovator that has placed on the Fortune 500 .

Owens Corning is devoted to delivering sustainable solutions across our three business segments while striving to ensure our people and products make the world a better place.

We take pride in having an inclusive and diverse workplace with employees around the globe. A holistic sense of community exists across our entire organization as our talent grows globally.

We are a company that fully recognizes the importance of paving a path to a sustainable and safe enterprise through investing in our people.

Our desire to make an impactful difference in the world flows from top down to all levels of the organization. By being a company that instills pride within each and every employee, we aspire to build market-leading businesses;

global in scope – human in scale.

Reports to : Size Development Leader, Composites Chemistry Center of Excellence.

Span of Control : Individual contributor based in Granville, Ohio.

JOB RESPONSIBILITIES

Ensure every Owens Corning employee comes back home safely every night.
• Promote and provide safety leadership a team working in a non-routine environment.
• Always adhere to Owens Corning safety policies and be an advocate for improvement.

Study, understand, test, and design screening techniques for fundamental chemistry properties of nonwovens. Enable smart and efficient nonwoven product development and manufacturing.
• Leverages expertise in fundamental chemical and physicochemical characteristics of nonwovens products to enable smart and fast product design as well as improve manufacturing efficiency.
• Leads and support the development of screening techniques to enable more efficient product development in partnership with lab, mimics, modeling, and plant / trial resources.
• Pursues experimental design through DOE approach and use of analytics to drive for decision making in product and process development.
• Supports the development nonwovens and sizing products in a manner that is environmentally friendly and compliant with local regulations where it will be manufactured.
• Partners with universities, external labs, and industry experts to advance Owens Corning s fundamental chemistry understanding and testing capabilities.

Explore advanced materials and technology trends for opportunities in product differentiation and innovation.
• Stay current on relevant technical literature, patents and conferences. Partner with Technology Scouts regarding advanced materials and chemicals that could be used to elevate product performance and innovation position.
• Screen and test advanced materials for nonwovens product differentiation, IP control points and improve manufacturing efficiency.
• Ensures that Owens Corning develops and maintains a sustainable competitive advantage by protecting your inventions through patents or trade secrets and enabling IP control points.
• Monitor technology on trends compatible with thermoset domains including nanotechnologies, hybrid chemistries, EH&S aspects, new testing methods.

Elevate the performance of the Global Composites Chemistry Center of Excellence
• Represent and advocate on behalf of Owens Corning at suppliers / customers meetings, conferences, industry associations & to generate customers interest & excitement.
• Advise the Chemistry CoE Director and the Nonwovens Technical leader on best / alternate technical approaches that combine sound science foundation and speed of execution.
• Mentor junior scientist and engineers on product development, fundamental scientific approach and collaboration with Sourcing and Operations partners.

JOB REQUIREMENTS

MINIMUM QUALIFICATIONS :
• Advanced degree in organic chemistry, polymer chemistry or related chemistry field.
• 5-8 years of R&D experience in product design, product / applications development, and industrialization in the fields of nonwovens and thermoset / thermoplastic composites (resin companies, glass fiber companies).
• Proven track record of high impact projects and new product commercialization.
• Experience working in global environment.
• Ability to travel 20-30% (customers, plants, conferences, etc.) including international travel.

PREFERRED EXPERIENCE :
• PhD in organic chemistry, polymer chemistry or related chemistry field.
• 8-10 years of R&D experience in product design, product / applications development, and industrialization in the fields of nonwovens and thermoset / thermoplastic composites (resin companies, glass fiber companies).
• Experience in fiberglass composites chemistry field, composites manufacturing processes, and / or specially nonwovens.

KNOWLEDGE, SKILLS & ABILITIES :
• Acts as a change agent with the ambition to make things happen by investing into capabilities and talent.
• Challenges the status quo and is comfortable engaging others on new / alternative opportunities.
• Ability to maintain healthy communication stream internally and externally including with customers and suppliers
• Self-starter who works with minimal supervision that balances multiple assignments; works effectively across technology, sourcing, marketing, and manufacturing groups to ensure project success.
• Unafraid of owning results, actions, and decisions of self or organization. Committed to follow through to completion.

About Owens Corning

Owens Corning is a global building and construction materials leader committed to building a sustainable future through material innovation.

Our three integrated businesses Composites, Insulation, and Roofing provide durable, sustainable, energy-efficient solutions that leverage our unique material science, manufacturing, and market knowledge to help our customers win and grow.

We are global in scope, human in scale with approximately 20,000 employees in 33 countries dedicated to generating value for our customers and shareholders, and making a difference in the communities where we work and live.

Founded in 1938 and based in Toledo, Ohio, USA, Owens Corning posted 2021 sales of $8.5 billion. For more information, visit www.owenscorning.com .

Owens Corning is an equal opportunity employer.

Last updated : 2022-09-13
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