Fulltime Data Scientist openings in Portland on September 15, 2022

Products & Solutions – Data Scientist at PwC

Location: Portland

Specialty/Competency: IFS – Internal Firm Services – Other

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 20%

A career in Products and Technology is an opportunity to bring PwC’s strategy to life by driving products and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change.

Our team designs, develops and programs the methods, processes, and systems that are used to collect all forms of data and develop models that serve predictions to applications, automated process flows, and stakeholders. A Data Scientist collects domain context from stakeholders, defines hypothesis and prediction tasks, identifies and creates supporting data sources, conducts experiments with various algorithms to model prediction tasks, undertakes validation and tests of models to improve performance, produces pipelines that can be used to automate training and predictions with unseen or production data, identifies meaningful insights from data sources, and contextualizes model outputs to communicate with stakeholders (product owners, process managers, and end consumers).

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Manager, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
• Develop new skills outside of comfort zone.
• Act to resolve issues which prevent the team working effectively.
• Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
• Analyse complex ideas or proposals and build a range of meaningful recommendations.
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Address sub-standard work or work that does not meet firm’s/client’s expectations.
• Use data and insights to inform conclusions and support decision-making.
• Develop a point of view on key global trends, and how they impact clients.
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Simplify complex messages, highlighting and summarising key points.
• Uphold the firm’s code of ethics and business conduct.
Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required :

Bachelor Degree

Additional Educational Requirements :

Bachelor’s degree or in lieu of a degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college.

Minimum Years of Experience :

5 year(s)

Preferred Qualifications :

Degree Preferred :

Master Degree

Additional Educational Preferences :

Mathematics, Computer and Information Science, Engineering, Data Processing/Analytics/Science

Preferred Knowledge/Skills :

Demonstrates extensive abilities and/or a proven record of success within a professional services environment, in the following areas:
• Programing with any of the following focus: statistical/mathematical languages e.g., R, SAS, MATLAB , general purpose languages e.g., Python, Java, Go, Perl , and/or other special purpose languages e.g., SQL, bash scripting ;
• Demonstrating machine learning/predictive modeling, natural language processing, statistical analysis, simulation modeling, and graph analysis;
• Processing large scale data e.g., Hadoop environment, Apache Spark, elastic cloud compute ;
• Processing data analysis workflows e.g., git, iPython notebook ;
• Visualizing data using tools e.g., D3.JS, Gephi ;
• Interpreting problems, synthesize analysis, and present information in a way that is understandable to a non-technical person;
• Working collaboratively on teams with a variety of technical and non-technical skill sets;
• Compiling and presenting complex information using data visualization tools;
• Collaborating and contributing as a team member: understand personal and team roles, contribute to a positive working environment by building relationships with team members, and proactively seeking guidance, clarification, and feedback;
• Identifying and addressing client needs, build relationships with clients, develop requests for information, demonstrate flexibility in prioritizing and completing tasks, and communicate potential conflicts to a supervisor;
• Prioritizing and handling multiple tasks, research and analyze pertinent client, industry and technical matters, utilize ability in problem-solving, and communicate effectively in written and verbal formats to various audiences – including various levels of management and external clients;
• Coaching and collaborating with colleagues who assist with this work, including providing coaching, feedback and guidance on work performance;
• Understanding how the application of analytical techniques correlate to business value;
• Selecting the appropriate analytical techniques for the problem at hand;
• Working closely with leaders across product functions to design the analytics roadmap and to support and implement high quality data driven decisions and deliverables;
• Developing and implementing quality controls and standards to ensure data integrity and quality; and,
• Leading and providing oversight to a team of data scientist in their approach to data modeling and analysis techniques.
At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more:

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy:

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

For positions in Colorado, visit the following link for information related to Colorado’s Equal Pay for Equal Work Act:
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Data Scientist at Schrdinger

Location: Portland

Were seeking a Data Scientist to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods.

As a member of our Drug Discovery Data team, youll join a group of around a hundred designers, modelers, computational/medicinal chemists, crystallographers, biochemists, and biologists.

Supported by more than a hundred software developers and engineers, youll play a key role in accelerating the discovery and development of new medicines for patients with unmet needs.
Check out our pipeline here Who will love this job:
An exceptionally organized data scientist who understands javascript frameworks like and/or A savvy time manager with a working knowledge of application containers like Docker An excellent technical communicator whos familiar with RDBMs and SQL A software engineer who has experience with continuous integration/deployment with Git What youll do: Participate in the improvement of internal software and processes, which includes early access usage and bug reporting, as well as small-scale development of research and data curation web apps and scripts Process and maintain drug discovery group database content, which includes managing confidential data and information according to guidelines, overseeing data flow, curation, and quality, and collaborating with internal or external advisors What you should have: A Bachelor of Science degree with at least two years of data engineering experience OR a Masters degree with data engineering experience from a thesis Experience working with distributed version control (e.g., GitHub, GitLab)

Deep understanding of Python web-frameworks like Django and/or Flask Pay and perks:
Schrdinger understands its people that make a company great.

Because of this, were prepared to offer a competitive salary, stock options, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program.

We have catered meals in the office every day, a company culture that is relaxed but engaged, and over a month of paid vacation time.
Our Administrative and Human Resources departments also plan a myriad of fun company-wide events.

We’ve been working remotely from across the world over the past few months because the health and safety of our employees is paramount.

Nonetheless, we have kept Schrdinger’s outstanding culture going through a series of online fitness classes, trivia nights, happy hours, and so much more.

Sound exciting? Apply today and join us As an equal opportunity employer, Schrdinger hires outstanding individuals into every position in the company.

People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company’s mission.

We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic.
To us, “diversity” isn’t just a buzzword, but an important element of our core principles and key business practices.

We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints.
For us, greater diversity doesn’t mean better headlines or public images – it means increased adaptability and profitability.
Apply Here
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Data Scientist- Portland, Oregon at PAE Consulting Engineers

Location: Portland

Job Details
Job Location
Portland Office – Portland, OR
Position Type
Full Time
Job Category
Information Technology
About the Role
The Data scientist utilizes their analytical, statistical, and programming skills to collect, analyze, interpret and summarize data from various sources, and transform that data into actionable information used for business intelligence. The Data Scientist guides and collaborates with peers and stakeholders to visualize the development of intelligence in a meaningful way that enables data driven insights, strategy, and decisions.
What You’ll Do
Work with PAE stakeholders to identify opportunities to utilize data and intelligence to drive business solutions.
Mine and analyze structured and unstructured data from various sources, including software applications, databases, PAE’s data warehouse, data lakes, etc.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Utilize predictive modeling, AI/ML technologies, and other approaches to develop capabilities that improve and optimize PAE business operations, design activities, and strategic planning.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance, data accuracy and quality.
Identify and analyze data patterns and trends to propose solutions and strategies to business challenges.
Develop interactive reports, calculators, and dashboards using data visualization tools and techniques.
Document processes and research with an eye toward knowledge sharing and cross training.
Assist in the design, implementation and maintenance of data infrastructure.
Assist leadership and stakeholders in the development of strategic roadmaps, execution plans, and budgets.
Research and stay abreast of AEC-centric application technologies and industry trends.
Maintain familiarity with PAE’s information workflows and tools with an eye toward efficiency, intelligence, and innovation.
What You bring
Bachelor’s degree in computer science, statistics, applied math or related field. Master’s degree preferred.
4+ years’ experience working as a data scientist or similar role.
4+ years’ direct experience and regular usage of data science and data visualization tools/platforms, and associated languages (Python, R, Java, SQL, etc.).
Strong problem-solving skills with an emphasis on solution development.
Experience using languages (Python, R, Java, SQL, etc.) to manipulate data and draw insights from large data sets.
Extensive background in data mining and statistical analysis of both structured and unstructured data.
Experience creating data architectures, manipulating data sets and building statistical models.
Experience developing interactive reports, calculators, and dashboards using data visualization tools (Tableau, Power BI, etc.) and techniques, and familiarity with the limitations and strengths between them.
Knowledge of AI/machine learning techniques and their real-world advantages and drawbacks.
Knowledge of advanced statistical techniques and concepts and experience with associated applications.
Ability to interpret communicated concepts/business needs and use extrapolation and creativity to collaboratively develop solutions.
Experience using web services, associated languages, and APIs for data integration from various online sources.
Experience with distributed data/computing tools.
Experience operating within the Agile framework for solution development.
Excellent communication and documentation skills, including experience translating complex technical subjects in a way that is meaningful to the target audience.
Ability to always maintain a professional, positive and friendly manner.
Strong time and task management capabilities, able to adapt, shift focus, and prioritize workflow with minimal supervision.
Experience and ability to engage with peers and leadership in process improvement and problem resolution.
Who We Are
PAE is a pioneering mechanical and electrical engineering firm that continually sets the bar for sustainability in the built environment. From our offices in Portland, Eugene, Seattle, and San Francisco, we employ an integrated and responsive approach to project design that balances the environmental, economic, and social goals of every client we work with. PAE promotes a work environment that encourages creative problem-solving and the sharing of ideas through an open office environment and a culture of continuing education. Our portfolio includes more than 130 LEED rated or registered projects as well as dozens of projects that have either achieved or are pursuing the Living Building Challenge, Architecture 2030, Carbon Neutral, and Net Zero Energy / Net Zero Water status.
A Triple Bottom Line firm, PAE’s success is measured not only by profit, but by our commitment to the environment, our employees, and our communities.
Our Culture
At PAE, we like to think of ourselves as a little bit different from most engineering firms. Here’s why:
We care intensely about envisioning and creating sustainable building systems and work every day to break new ground in the world of sustainable design.
We have a close affinity to the visions of the architects we work with; we understand the need for beauty as well as practicality.
We value creativity as much as we value precision.
We understand that the visionary people we want to hire need to experience the world in order to change the world, and we work hard to support that need.
We are a firm that values and respects our staff, fosters an environment that encourages learning and growth, and is committed to the success of our clients.
Due to client or project requirements, PAE may be required to confirm that employees are fully vaccinated with an FDA approved COVID-19 vaccine or have an approved medical or religious exemption from receiving the COVID-19 vaccine.
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at PAE will be based on merit, qualifications and abilities. PAE does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender (sex), national origin, age, veteran status, sexual orientation, gender identity, physical characteristics historically associated with race, disability, genetic information or any other characteristic protected by applicable law.
PAE will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in an undue hardship. This policy governs all aspects of employment including: selection, job assignment, compensation, discipline, termination and access to benefits and training.
Associated topics: agriculture, agrosciences, air, biodiversity, conservation, epa, field, food, sustainable, wetlands
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Data Engineer at Stellar IT Solutions, Inc.

Location: Portland

Role: Data Engineer (Full time/Remote opportunity)

Location: Portland OR (Remote)

Skills:
• Lead experience
• Python
• AWS/Cloud
• SQL
• PySpark
• Apache Spark
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Senior Data Scientist at Humana

Location: Portland

• *Description**

Humana’s Clinical Analytics and Trend (CAT) Team is seeking a Senior Data Scientist (Remote).

Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Analytics & Trend team (CAT) identifies clinical saving opportunities and enables clinical solutions through an evidence-based approach using data science, clinical and business expertise, and rigorous study designs to improve health outcomes and lower costs for millions of senior lives. In this multi-disciplinary team, you’ll have the opportunity to work closely with decision-marking executives and clinicians to shape Humana’s enterprise clinical strategies and initiatives.

The Senior Data Scientist uses statistics, machine learning, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientists’ work assignments involve moderately complex to complex issues where the analysis of situations and data requires an in-depth evaluation of variable factors. The Senior Data Scientist uses statistical and machine learning methods to develop sophisticated models based on large structured and unstructured data set, exercises considerable latitude in determining objectives and approaches to assignments while collaborating closely with clinicians and subject matter experts.
• *Responsibilities**
• *Responsibilities**

As a Senior Data Scientist, you will:

+ Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights

+ Work directly with aligned business partners in requirements definition, project scoping, study design, timeline management, results documentation, and maintain effective and professional working relationship

+ Leverage your curiosity, clinician partnerships, and Humana’s data to define and quantify the root causes of poor clinical outcomes

+ Collaborate with multiple cross-functional teams to identify operational barriers and issues, and facilitate their resolution

+ Create reusable implementations of statistical tests and machine learning models using the available technologies in Humana’s data ecosystem
• *Required Qualifications**

+ Master’s or PhD Degree in a quantitative discipline such as Epidemiology, Economics, Statistics, Data Science, Clinical Informatics, and/or related fields. Clinical degrees also preferred

+ Experience manipulating and analyzing various types of data using Python, SAS, R, or similar software

+ Experience using mathematics, statistics, modeling, experimental study design, and technology to transform high volumes of complex data into advanced analytic solutions

+ Demonstrated ability to assess the impact of clinical interventions on healthcare resource utilization and/or clinical indicators

+ History of solving problems, creating solutions and driving change within a team

+ Demonstrated strategic and analytical thinking

+ Ability to make decisions on moderately complex to complex issues regarding technical approach for project components

+ Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways

+ 3 years of professional experience leveraging structured and unstructured healthcare data
• *Preferred Qualifications**

+ Strong business acumen, including a deep understanding of healthcare payer economics

+ Experience working with medical, Rx, lab claims to extract clinical information for analytics and modeling purposes

+ Experience in Big Data environment specifically PySpark, Scala, or Microsoft Azure

+ Demonstrated familiarity with clinical concepts related to a broad range of clinical conditions and disease states – experience with oncology, behavioral health and chronic conditions would be particularly valuable

+ Demonstrated familiarity with observational study design and techniques such as retrospective cohorts, cross sectional, propensity score matching, difference-in-differences, etc.

+ Demonstrated familiarity with statistical tools such as variable selection and supervised/unsupervised ML

+ Work experience in a health care, health insurance, or consulting setting

+ Experience working with EMR data

+ Experience with clinical claims Episode Treatment Groupers
• *Scheduled Weekly Hours**

40

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our
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Data Analyst at Xometry

Location: Portland

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

We are looking for a Data Analyst to join our team. You will play a crucial role in a rapidly growing part of the Xometry business, and everything you do will matter.

The right person will analyze behavioral data, understand performance by developing analytical tools and performing ad-hoc analysis. They will assist with tying user activity to origin, modeling, data investigations, and visualizations. They will partner with different teams to help drive measurable results. They will be a valued partner and trusted advisor.

You will play a crucial role in a rapidly growing part of the Xometry business, and everything you do will matter.

What you will do
• Analyze user behavior and identify growth opportunities
• Identify key trends and areas of opportunity for product and business teams
• Build reports in Looker and other analytical tools, and develop presentations to keep the team apprised of key trends and opportunities
• Communicate, collaborate and present results to clients within Xometry
• Explore novel ways to look at our data
• Assist with the development of metrics and goals

Who are you?
• Background working within a team in a data-driven environment
• SQL and database experience
• Experience with Looker or other dashboarding tools
• Experience with event tracking data such as Segment, Tealium, or Google Analytics
• Commitment to timelines, accuracy, and professionalism
• Ability to communicate effectively and influence others
• Ability to work in a fast-paced environment and shift gears quickly
• Must be able to work core aligned hours to US Eastern Time / GMT-5
• Must be a US citizen, green card holder, or a legal permanent resident of the United States

If this job isn’t for you but you have a friend who may be a perfect fit – share this job with them!

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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Applied Scientist II at Amazon

Location: Portland

Job summary
Are you passionate about applying formal verification, program analysis, constraint-solving, and theorem proving to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use.

Technical Responsibilities:
Interact with various teams to develop an understanding of their security and safety requirements.Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems.Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving.Perform analysis of the customer systems using tools developed in-house or externally providedCreate software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.
Leadership Responsibilities:
Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences.Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker.Mentors and trains the research scientist community on complex technical issues.
AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.

We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.
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Genomics Data Science Lead at Schrdinger

Location: Portland

Were seeking a Genomics Data Science Lead to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods Our company aims to revolutionize drug design through the use of breakthrough computational methods.

Schrdingers platform is transforming the discovery of novel therapeutics, and were developing a robust preclinical pipeline and portfolio in multiple therapeutic areas, including oncology, immunology and neurology.

As a member of our Drug Discovery Team, youll drive maximized data utility through data warehousing, data curation, and data visualization across a variety of teams.
Through integrating large-scale public and internal data resources, youll promote data democratization and governance throughout the full discovery operation Who will love this job: An outstanding communicator who enjoys working with people of diverse backgrounds and experience A motivated data scientist who enjoys the challenges in managing and visualizing omic big-data to empower data-driven decision making in research A passionate collaborator who wants to work with a group of similarly-minded colleagues to make a difference in delivering innovative medicines What youll do: Spearhead the development and execution of data science strategy to support genomic and genetic data management, data analysis, and data visualization in preclinical and clinical space Lead internal team and external collaborators to automate business processes around data acquisition and ingestion As an integrated member of the drug discovery team, work with computational biology, biology, and translational science to understand scientific questions, data needs, and pain points and translate them into business needs and communicate with Enterprise informatics, Data Science team, and IT Work with data architects and data scientists to design and build solutions to facilitate data integration, harmonization, access and analysis, especially -omics datasets Leverage personal expertise, available data, published findings and best practices to educate broader drug discovery team members on genomic data types, sources, and applications, in an effort to promote data utility, efficiency and democracy across the organization Mentor junior data scientists in genomic-specific data curation best practices What you should have: A PhD in Data Science, bioinformatics, or a related field, or an MS with at least six years of relevant working experience (previous working experience in the pharmaceutical industry is preferred)

Working understanding of the complexity of genomic data structure and data processing pipelines Experience with ontology dictionary development and semantic analysis in data integration and normalization Demonstrated experience and expertise in working with a wide range of R&D data in preclinical, translational, biomarker studies (genomics, genetics, proteomics, etc.), including data curation, integration, and visualization Familiarity with modern sequencing technologies, including but not limited to bulk sequencing, single cell sequencing, functional genomics, is desired Pay and perks:
Schrdinger understands its people that make a company great.

Because of this, were prepared to offer a competitive salary, stock options, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program.

We have catered meals in the office every day, a company culture that is relaxed but engaged, and over a month of paid vacation time.
Our Administrative and Human Resources departments also plan a myriad of fun company-wide events.

We’ve been working remotely from across the world over the past few months because the health and safety of our employees is paramount.

Nonetheless, we have kept Schrdinger’s outstanding culture going through a series of online fitness classes, trivia nights, happy hours, and so much more.

Sound exciting? Apply today and join us As an equal opportunity employer, Schrdinger hires outstanding individuals into every position in the company.

People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company’s mission.

We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic.
To us, “diversity” isn’t just a buzzword, but an important element of our core principles and key business practices.

We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints.
For us, greater diversity doesn’t mean better headlines or public images – it means increased adaptability and profitability.
Apply Here
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Sr data scientist at PacifiCorp

Location: Portland

JOIN OURTEAM!

PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability and diversity, equity and inclusion.

General Purpose :

Leverages large quantities of data, such as weather, environmental, outage, vegetation, and grid attributes, to inform long term risk analysis and aid in decision making.

Works alongside senior and executive leadership to develop tools and analysis and inform the future of data driven decisions.

Develops presentations for executive leadership and recommends and implements changes to meet company goals. Supports long term grid planning and load forecasting.

Facilitates internal training for engineers and technicians in subject area; acts as company subject matter expert.

Responsibilities :

The responsibilities of the Sr T&D Data Scientist position include :
• Independently conduct highly complex research studies and technical analyses in areas of specialized data science to support company objectives and enable Transmission and Distribution Operations.
• Work cross-functionally to develop and implement company standards and processes relating to data science and data governance within Transmission & Distribution Operations.
• Work effectively with engineering, operations, dispatch and regulatory teams to analyze complex problems, identify issues, innovate and deliver solutions consistent with schedules established.
• Lead data science projects, processes, or systems over the life cycle of the project, including project identification, scope development, implementation, and long-term operations and maintenance.
• Provide technical expertise across business in the area of data science to support functions such as wildfire mitigation, reliability, and risk within the T&D Operations organization.
• Ability to coordinate or otherwise support fire data analysis and fire investigations.
• Serve as the Company expert in the discipline and provide authoritative consultation and recommendations to senior management.
• Develop detailed computational analysis, including data science, computer modeling, and scripting and tool development, and integrate methods and products within and across company software products.
• Actively participate as company lead in government, industry, collegiate and other applicable associations or work groups which have the ability to influence or set policy impacting the future of our utility.
• Determine methods and techniques for obtaining results.
• Provide leadership to develop data literacy and scripting knowledge across the team.
• Strong customer service focus.

In addition, the responsibilities of the Data Scientist Manager position include :
• Plan and manage the work of the functional group. Lead projects and initiatives. Identify opportunities to leverage data science and predictive analytics to help solve the most critical business challenges.
• Lead the functional team; direct day-to-day activities and provide guidance and recommendations.
• Actively grow, lead, and mentor other data scientists.
• Lead the data science group within T&D Operations to establish, develop, and maintain models, tools, methods, and frameworks for highly complex analytical problems.
• Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation, and model implementation.
• Independently conduct highly complex research studies and technical analyses in areas of specialized data science to support company objectives and enable Transmission and Distribution Operations. .
• Provide input into team employee performance reviews. Flag performance and personnel issues for people manager resolution.

Requirements :

The Requirements of the Sr T&D Data Scientist position include :
• Bachelor’s degree in Engineering, Analytics, Data Science, Math, or Physics from an accredited college / university.
• A minimum of 7 or more years’ experience in a power / utility / energy industry or related profession, including experience performing highly technical work of a specialized nature.
• Over 3+ years of experience working with Python (or related language) and associated libraries for machine learning.
• Ability to construct and optimize SQL queries (1+ years’ experience).
• Exceptional technical writing skills.
• Ability to communicate complex data in a simple, actionable way through visualizations.
• Ability to review scientific literature and incorporate knowledge into ongoing projects.
• Demonstrated leadership and / or project management skills.
• Expert knowledge of industry best practices for data science and data governance.

In addition, the requirements for the Data Scientist Manager include :
• A minimum of 10 or more years’ experience in a power / utility / energy industry or related profession, including experience performing highly technical work of a specialized nature.
• A minimum of three years of supervisory or functional management experience.
• Ability to construct and optimize SQL queries (3+ years’ experience).

Preferences
• Project Management Professional (PMP) designation.
• Professional Engineering license.
• MS or PhD in quantitative fields.
• Knowledge of applicable federal, state, and local laws regulations and electrical codes.
• Experience working in the utilities, risk management, or wildfire mitigation sector.
• In depth knowledge of Bayesian statistics – specifically Bayesian hierarchical modeling.
• Proficiency with Microsoft Azure Machine Learning environment.
• Experience with C#, Spark, or R.
• Experience with time series modeling and forecasting.
• Understanding of the Company’s business and relevant policies, procedures, and practices.

Additional Information

Req Id : 108386

Company Code : PacifiCorp

Primary Location : PORTLAND

Department : Pacific Power

Schedule : FT

Personnel Subarea : Exempt

Hiring Range : $110,300. – $149,000

This position is eligible for an annual discretionary performance incentive bonus of up to 15- 20% of salary.

Employees must be able to perform the essential functions of the position with or without an accommodation.

At PacifiCorp, we encourage everyone to work together. We embrace diversity and value the distinct perspectives of all our employees.

We strive to cultivate a workplace that connects each employee to the organization and enables all individuals to participate and contribute to their full potential.

It is PacifiCorp’s policy to provide and promote equal employment opportunity to all employees and applicants in accordance with local, state and federal laws and regulations governing personnel activities.

In accordance with federal guidelines, PacifiCorp is committed to a program of affirmative action. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, veteran status, national origin, sexual orientation or gender identity.

All offers of employment are contingent upon the successful completion of a background check and drug screening

Last updated : 2022-09-15
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For Remote Sr data scientist roles, visit Remote Sr data scientist Roles

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Data Scientists 2 at Humana

Location: Portland

• *Description**

The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.
• *Responsibilities**

The Data Scientist uses mathematics, statistics, machine learning, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientists’ work assignments involve moderately complex to complex issues where the analysis of situations and data requires an in-depth evaluation of variable factors. The Data Scientist uses machine learning and artificial intelligence to develop sophisticated models, using both structured and unstructured data sets for analysis.

As a Data Scientist, you will:

+ Use techniques from supervised and unsupervised machine learning, statistical analysis, Or predictive modeling to deliver business insights to prospects and customers

+ Work directly with customers to educate them on ‘moving beyond BI’ and training their internal resources to execute advanced forms of analytics

+ Create reusable implementations of statistical tests and models using the available technologies in the ecosystem

+ Work with the academic and business community to develop new techniques and to contribute to research in the area of advanced analytics on large databases

+ Generate new product requirements for the engineering group to enhance the analytics capabilities of the database

+ Assist in customer engagement management, requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management

+ Use machine learning techniques to assess outcomes of interventions, clinical programs or marketing campaigns

+ Build ‘smart’ systems that learn from health intervention outcomes over time
• *Required Qualifications**

+ Master’s Degree in Math, Computer Science, Analytics, Quantitative Social Sciences or related analytical field

+ 2 years’ technical experience

+ Experience working with and analyzing various types of data using R, Python or similar software

+ Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions

+ Experience using machine learning techniques such as neural networks, random forest, gradient boosting, etc.

+ Naturally curious and comfortable with ambiguity

+ Demonstrated strategic and analytical thinking

+ Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways

+ Strong interpersonal and consulting skills
• *Preferred Qualifications**

+ PhD Degree in Math, Computer Science, Analytics, Quantitative Social Sciences or a related field

+ 3+ years’ technical experience

+ Experience in Big Data environment specifically PySpark, Scala, or Microsoft Azure

+ Previously applied machine learning to help a firm reach objectives

+ Work experience in a health care and/or Insurance setting
• *Additional Information**

\#LI-ER1
• *Scheduled Weekly Hours**

40

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our
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For Remote Data Scientists 2 roles, visit Remote Data Scientists 2 Roles

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