Fulltime Data Scientist openings in California on September 23, 2022

Data Scientist at LEIDOS

Location: Rancho Santa Fe

Description

Job Description:

Military and Veterans Health Solutions under the Leidos Health Group is looking for a Data Scientist to support the Warfighter Performance Department at the Naval Health Research Center (NHRC). This work includes collecting and analyzing data during active military training in a variety of locations across the United States as well as international locations. This research addresses the needs and concerns of Special Operations’ Warfighters, as well as Expeditionary Forces, to improve performance, enhance sustainment and mitigate injury. Results are delivered through abstracts, presentations, peer-reviewed journal publications, and government technical reports. The Data Scientist will write funding proposals and participate in all aspects of research protocol execution related to human performance in military operational environments. The Data Scientist will design and develop methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including big data sources. The Data Scientist will develop and use advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets and models complex business problems. The candidate will work with cross-discipline teams in order to ensure connectivity between various databases and systems. The candidate will identify meaningful insights and interpret and communicate findings and recommendations. The Data Scientist may develop information tools, algorithms, dashboards, and queries to monitor and improve business performance; and maintains awareness of emerging analytics and big-data technologies.

Primary Responsibilities

Requirements include but are not limited to:
• Generate and prepare datasets for statistical analyses, develop and test research hypotheses, identify and conduct appropriate statistical analyses such as multiple regression, analysis of variance/covariance, exploratory and confirmatory factor analyses.
• Develop research proposals, research protocols, presentations, technical reports, and publications.
• Be familiar with disciplines such as Natural Language Processing, Machine Learning, Predictive Modeling, Statistical Analyses and Hypothesis Testing and appropriately use them in tasking.
• Effectively communicate processes and results (verbally, graphically, and in writing) for customers and stakeholders
• Develop and maintain collaborative relationships within NHRC and partnering institutions and commands
• Develop and evaluate appropriate experimental and statistical methodologies, write standards of procedure to perform those methodologies, and perform quality assurance/quality control procedures
• Work independently on larger, moderately complex projects/assignments.
• Address complex technical issues/problems using internal best practices and through collaboration with colleagues.
• Develops solutions to technical problems that require deep technical knowledge of military operational physiology research
• Effectively communicate with colleagues across multiple areas
• Assist other technical staff with tasks and assignments.
• Some offsite travel (~20%) may be required for collaboration, presentations, and data collection.
• Comply with all required Leidos and Government requirements and complete required certifications and trainings
• Support Leidos business development efforts such as contributing subject matter expertise to funding proposals.
• Demonstrate Leidos mission, vision, values at all times

Basic Qualifications
• Master’s degree from an accredited US university, or international university of equivalent standard, in physiology, psychology, neuroscience, exercise science, or a related field.
• Requires working knowledge of and ability to apply standards, principles, theories, concepts, and techniques of military operational physiology research and research methods.
• Demonstrate broad understanding of human physiology and performance.
• Candidates must demonstrate knowledge and experience in processing research data.
• Candidates must be a self-starter, act on objectives in an independent manner, demonstrate leadership, work independently in a team, and have the ability to plan and prioritize work.
• Candidates must demonstrate knowledge of human subjects research using controlled laboratory-based or field-based settings.
• Candidates must demonstrate excellent critical thinking with problem-solving skills and an ability to work cooperatively in a team setting. Flexibility in responding to changing demands, timelines, and priorities is required.
• Candidate must demonstrate strong computer skills
• Candidate must demonstrate the ability to extend and apply the knowledge of research to the missions of the NHRC and Navy customer.
• The candidate will be required to acquire, at a minimum, a SECRET classification access level.
• Due to Federal contract requirements, US citizenship is required.

Preferred Qualifications
• Previous experience designing and implementing experiments with high technical sophistication in military, veteran, or related populations.
• Evidence of scientific achievement in the human performance domain is preferred, as demonstrated by the publication of articles and reports, membership in professional scientific organizations, experience in writing and editing technical and scientific research information, and excellent verbal communication skills to confer with professional colleagues/peers.

Naval Health West – NHW

Pay Range:
Pay Range $60,450.00 – $93,000.00 – $125,550.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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Senior Data Scientist, Customer Analytics at Harnham

Location: None

Senior Data Scientist, Customer Analytics

Los Angeles, CA (Remote Eligible)

$150-170k

This is a fantastic opportunity to join a full-service, creative advertising agency, as a Senior Data Scientist. In this role you will be part of their data science and analytics department, working on a large automotive brand and support their marketing team.

ROLE OVERVIEW – SENIOR DATA SCIENTIST

Perform predictive analysis across digital marketing campaigns and digital properties of the client
Run predictive modeling to define and score audiences, determine test and control audiences and deploy in end-user applications
Assist in defining and designing tech infrastructure and data pipelines for analytic modeling applications (ETL, data automation, data querying, etc.)
Maintain a productive relationship with clients, keeping them updated with all projects
Visualize and present complex reporting, models, and dashboards to non-data or non-technical audiences
Key projects include; personalization, customer segmentation, A/B testing, LTV, and media optimization, multi touch attribution, and media mix modeling.

SKILLS AND EXPERIENCE

4+ years experience in data science, predictive modeling or advanced analytics with a focus on marketing and customer data initiatives
Strong knowledge of SQL
Exposure to Python or R is desirable
Experience using either Google Analytics or Adobe Analytics
A plus if you have knowledge of Adobe Target or Salesforce Marketing Cloud
Good understanding of media platforms such as DCM or DV360
Strong written and verbal communication skills are essential
Ability to manage multiple analytics projects at a time
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Data Scientist at Lawrence Livermore National Laboratory

Location: Livermore

Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory’s mission.

Job Description

We have an opening for a Data Scientist to provide solutions for various projects. You will work in a dynamic, multidisciplinary team of independent/entrepreneurial computer scientists and engineers who research, develop, and integrate state-of-the-art algorithms, software, hardware, and computer systems solutions to challenging research and development problems. These positions are in the Computing Directorate.

This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.

In this roleyou will
• Collaborate with scientists and researchers in one or more of the following areas: data intensive applications, text processing, graph analysis, machine learning, statistical learning, information visualization, low-level data management, data integration, data streaming, scientific data mining, data fusion, massive-scale knowledge fusion using semantic graphs, database technology, programming models for scalable parallel computing, application performance modeling and analysis, scalable tool development, novel architectures (e.g., FPGAs, GPUs and embedded systems), and HPC architecture simulation and evaluation.
• Work with other LLNL scientists and application developers to bring research results to practical use in LLNL programs.
• Assess the requirements for data sciences research from LLNL programs and external government sponsors.
• Carry out the development of data analysis algorithms to address program and sponsor data sciences requirements.
• Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team.
• Design technical solutions independently, participating as a member of a multidisciplinary team to analyze sponsor requirements and designs, and implementing software and performing analyses to address these requirements.
• Develop and integrate components-such as web-based user interfaces, accessing control mechanisms, and commercial indexing products-for creating an operational information and knowledge discovery system.
• Perform other duties as assigned.

Additional job responsibilities, at the SES.3 level
• Lead multiple parallel tasks and priorities of customers and partners to ensure complex deadlines are met.
• Manage various complex projects, using team members’ skills to complete complex projects/tasks, and solve abstract complex problems/ideas and convert them into useable algorithms/software modules.
• Provide solutions that require in-depth analysis of multiple factors and the creative use of established methods.

Qualifications
• Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience.
• Comprehensive knowledge of one or more of the following: high performance computing, scientific data analysis, statistical analysis, knowledge discovery, computer security, systems programming, large-scale data management, and big data technologies.
• Skilled in all aspects of the software project life cycle: feasibility, requirements, design, implementation, integration, test and deployment.
• Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms.
• Ability to effectively handle concurrent technical tasks with conflicting priorities, to approach difficult problems with enthusiasm and creativity and to change focus when necessary, and to work independently and implement research concepts in a multi-disciplinary team environment, where commitments and deadlines are important to project success.
• Effective interpersonal skills necessary to interact with all levels of personnel.
• Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.

Additional qualifications at the SES.3 level
• Effective advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
• Significant experience with demonstrated expertise in the following technical languages, concepts, or constructs and in one or more of the following advanced areas: high performance computing, scientific data analysis, statistical analysis, knowledge discovery, computer security, systems programming, large-scale data management or big data technologies.
• Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Position Information

This is a Career Indefinite or At Will appointment. Lab employees and external candidates may be considered for this position.

Why Lawrence Livermore National Laboratory?
• Included in 2022Best Places to Work by Glassdoor!
• Work for a premier innovative national Laboratory
• Comprehensive Benefits Package
• Flexible schedules (*depending on project needs)
• Collaborative, creative, inclusive, and fun team environment

Learn more about our company, selection process, position types and security clearances by visiting our Careersite .

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.If you are selected, wewill initiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.For additional information, please see DOE Order 472.2 .

Pre-Employment Drug Test

External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Equal Employment Opportunity

LLNL is an equal opportunity employer that is committed to providing candidates and employees with a work environment free of discrimination and harassment. We value and hire a diverse workforce as it is a vital component of our culture and success. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

LLNL invites you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision .

Reasonable Accommodation

At LLNL, our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please submit a request via our online form .

CaliforniaPrivacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .

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Principal Data Scientist – Personalization – Telecommute at UnitedHealth Group

Location: San Francisco

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that’s improving the lives of millions. Here, innovation isn’t about another gadget, it’s about making health care data available wherever and whenever people need it, safely and reliably. There’s no room for error. Join us and start doing your life’s best work.(sm)

Join our Personalization Team, as a Principal Data Scientist, which works on solving recommendations, ranking, user condition predictions, and search problems. We are KPIs driven team that leverages Machine Learning (ML) to provide a personalized experience. In this team, you would work with brilliant data scientists and engineers to build end-to-end solutions to meet product needs. We are also very passionate about our engineering excellence and pride ourselves of releasing solid solutions to production. We leverage state of art machine learning and strive for low latency solutions.

You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

Apply advanced statistical and predictive modeling techniques to data related to the optimization of healthcare and digital experiences

Propose innovative ways to look at problems using data mining, statistical analysis and machine learning

Communicate findings, verbally and visually, to business partners and clients

Seek out new data sources and verify integrity of data that fill gaps and improve models

Support business needs around analytics, predictive modeling and business intelligence

Collaborate effectively with internal clients, transforming their needs into data science use cases

Provide on-going tracking and monitoring of performance of statistical models and recommend ongoing improvements to methods and algorithms

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

Master’s degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields of study

Ability to turn state-of-art research into production level codes

Experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques

Experience in python, Tensorflow, Pytorch and/or Pyspark

Ability to translate business need and requirements into technical solutions

Solid analytical and problem-solving skills

Preferred Qualifications:

Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields of study

Experience in developing and deploying models related to recommender system, NLP and time series forecasting

Experience in developing algorithms for search engines (e.g. name entity recognition, intent classification, spell correction, autocompletion), cold-start recommendation, semi-supervised learning (e.g. positive unlabeled learning)

To protect the health and safety of our workforce, patients and communities we serve, UnitedHealth Group and its affiliate companies require all employees to disclose COVID-19 vaccination status prior to beginning employment. In addition, some roles and locations require full COVID-19 vaccination, including boosters, as an essential job function. UnitedHealth Group adheres to all federal, state and local COVID-19 vaccination regulations as well as all client COVID-19 vaccination requirements and will obtain the necessary information from candidates prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation. Failure to meet the vaccination requirement may result in rescission of an employment offer or termination of employment

Technology Careers with Optum. Information and technology have amazing power to transform the health care industry and improve people’s lives. This is where it’s happening. This is where you’ll help solve the problems that have never been solved. We’re freeing information so it can be used safely and securely wherever it’s needed. We’re creating the very best ideas that can most easily be put into action to help our clients improve the quality of care and lower costs for millions. This is where the best and the brightest work together to make positive change a reality. This is the place to do your life’s best work.(sm)

All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado residents is $97,300 to $176,900. The salary range for Connecticut/Nevada residents is $97,300 to $176,900. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug – free workplace. Candidates are required to pass a drug test before beginning employment.
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Senior Data Scientist at Aon Corporation

Location: None

Senior Data Scientist – People Analytics – Virtual, California

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

Data science is revolutionizing many areas of business and the management of people is no exception. Aon’s human capital business, encompassing over 2,000 colleagues and spanning the globe, applies our market-leading workforce data to help clients tackle transformational projects.

The Senior Data Scientist will have the opportunity to reshape how businesses think about people metrics holistically. Our focus lies in building creative solutions that have an immediate impact on the business of our partners and the lives of the people who work for them. We work in complementary teams comprising data scientists and consultants from across the organization. Aon is home to human capital data of a scale and breadth found in few other places, allowing you to participate in developing market-leading insights that shape how companies manage their people and their business.

Job Responsibilities:
• Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients
• Brainstorm innovative ways to use our unique data to answer business problems
• Provide detailed, thought-provoking analyses on the most important people-related challenges, such as predicting which potential employees are most likely to succeed, identifying the most effective interventions to retain high performers, ensuring pay equity for all, and helping companies upskill their workforce for the future
• Integrate data from across multiple sources including our clients, our partners, and Aon’s own market-leading human capital databases
• Create advanced statistical and machine-learning models to provide specific recommendations to business leaders
• Lead end-to-end data science projects from storage to pipeline, modeling, visualization, and deployment
• Communicate complex quantitative analyses in a clear, precise, and actionable manner
• Leverage data visualization to convey insights in a compelling way
• Mentor data analysts and junior data scientists

Skills and experience that will lead to success:
• Master’s or PhD in Computer Science, Statistics, Operations Research Economics, or related quantitative field
• 5+ years of experience
• Proficiency with Python or R
• Knowledge of data visualization software such as Tableau or Power BI
• Experience with multivariate linear regression models and hypothesis testing
• Proficiency with SQL/SSIS and ETL processes
• Experience with AWS or Cloudera tool suites
• Experience with collaborative development environment like GitHub

Preferred skills and experience:
• A passion for data visualization
• Experience with Trifacta, StreamSets, and/or Alteryx
• Experience with advanced econometrics and machine learning methods for social sciences
• Knowledge of any of the following: natural language processing (NLP), organizational network analysis (ONA), or psychometrics

How we support our colleagues

The target salary range for this position is $135,000 – $150,000 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location.

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognize that flexibility goes beyond just the place of work… and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. Aon is committed to a diverse workforce and is an affirmative action employer. People with criminal histories are encouraged to apply.

We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation on ReasonableAdjustments@Aon.com

Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.
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SENIOR DATA SCIENTIST – ML FOR BIOLOGY at Harnham

Location: San Francisco

SENIOR DATA SCIENTIST

SAN FRANCISCO, CA

$140,000 – $160,000 + BONUS

THE ROLE

This pharmaceutical company is searching for a Senior Data Scientist to join their R&D team. As a Senior Data Scientist, you will focus on oncology, cardiovascular and metabolic disorders. The Senior Data Scientist will work with a wide range of data sets to develop innovative solutions.

In this role you can expect to:

Develop AI/ML solutions for biology problems in drug discovery development
Cross collab with internal and external data science teams
Extract insights from high-dimensional and multi-omics data

YOUR SKILLS AND EXPERIENCE

PhD in AI/ML, Computational Biology, etc
Industry experience developing, optimizing, and validating deep learning models
Industry experience working with multi-Omics data
Fluent in Python and AI packages
Industry experience with AWS, Docker, etc

THE BENEFITS

$140,000-$160,000 + Bonus
Generous benefits package
Remote possible

HOW TO APPLY

Please register your interest by sending your CV to Ashley Biscailuz via the Apply link on this page
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Data Scientist – Deep Learning at Bosch Group

Location: San Carlos

Company Description The Bosch Center for Artificial Intelligence provides services in AI technologies to Bosch’s business units and plants. Artificial intelligence technologies are impacting Bosch’s products and services in many domains: manufacturing, predictive maintenance, vehicle diagnostics, supply chain, large-scale simulations, etc. This is a technical position for someone who is skilled at bringing together disparate technologies to solve business problems. Job Description Bosch is at the forefront of innovation in the connected world and is impacting millions of lives every day through its products in mobility, industrial technology, consumer goods and energy and smart building sectors. We rely on data for every aspect of our product lifecycle and operations and we collect a lot of it every day.Our team is responsible for enabling a wide variety of Bosch engineering teams to make use of advancements in AI through centralized services that involve streaming data from connected services to building and deploying state-of-art AI solutions.We are looking for a talented engineer who is passionate about building fault-tolerant data services and analytics tools targeted towards vision applications. Your work will be used by hundreds of Bosch engineers and will have global impact by improving the quality and value of Bosch products.*Primary Responsibilities:** Execute complex machine learning and deep learning projects that have a significant impact on Bosch global business.* Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.* Collaborate with product, engineering, and marketing teams across many Bosch business domains (automotive, industrial, internet of things) to translate business needs into technical solutions* Collaborate with other data scientist and data engineers to design, prioritize and implement new features for our AI platform to solve real customer problems* Write clear, maintainable and tested code* Stay current with the latest research and technology and communicate your knowledge throughout the enterprise* Take responsibility for preparing data for analysis, review data preparation/ETL code and provide critical feedback on issues of data integrity* Contribute to Bosch’s patent portfolio* Up to 10% travel may be required. Qualifications *Basic Qualifications:** Masters Degree in Computer science, electrical and computer engineering and 2+ years of professional experience* 4+ years experience with Python (Scikit-learn, Pandas, Numpy)* 1+ yrs experience designing and implementing deep NN architectures (both convolutional and recurrent) using open-source deep learning frameworks, e.g. TensorFlow, PyTorch*Preferred Qualifications:** Ph.D in Computer science, electrical and computer engineering or related field with focus on deep learning and feature discovery* In depth knowledge and working experience on the various aspects of training and deployment of deep networks* Strong understanding of machine learning algorithms & principles* Experience building deep NN models for image classification, object detection and semantic segmentation* Familiarity with CPU/GPU architectures and numeric libraries* Hands-on experience in distributed training of deep architectures: multi-GPU, multi-node, synchronous and asynchronous* Experience with computer vision libraries like OpenCV* Publications in top conferences such as NIPS, CVPR, ICLR, ICML Additional Information BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives* FIRST Robotics (For Inspiration and Recognition of Science and Technology)* AWIM (A World In Motion)By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled.For more information on our culture and benefits, please visit:[Culture and Benefits | Bosch in the USA](https://www.bosch.us/careers/why-bosch/culture-and-benefits/)
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REMOTE Data Scientist at Jobot

Location: Los Angeles

REMOTE opportunity – SaaS company seeking a Data Scientist – unlimited PTO

This Jobot Job is hosted by Jessica Porter

Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.

Salary $120,000 – $135,000 per year

A Bit About Us

Leveraging AI and machine learning, our client’s software completely automates spend analysis and prioritizes risk based on your unique spend profile, allowing for focused action on your most pressing audit findings.

Why join us?
• Work from anywhere policy remote / hybrid / in-office (work where you are most productive)
• Competitive compensation structure
• Education reimbursement program
• Strong work-life balance / positive culture

Job Details

Compensation $150,000 – $165,000 DOE

Fully Remote

Responsibilities

Lead development projects, engage with the project stakeholders, collect high-level requirements, test different machine learning models, and design and deliver systems with machine learning at their cores

Design and maintain Machine Learning pipelines – data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying, and diagnosing overfitting

Research and develop analysis, and optimization methods to improve the quality of the company’s user-facing analytics

Identify and present opportunities to leverage advanced analytical methods to solve difficult non-routine business problems

Provide technical direction, mentoring, training, and guidance to team members

Skills

Applied experience with machine learning on large datasets

Strong SQL experience in processing and analyzing data

Strong quantitative analytical experience, including hands-on use of statistics, regression modeling, decision trees, random forest, support vector machine, kernel-based methods, clustering, and similar methods

Ability to analyze a wide variety of data structured and unstructured, observational, and experimental, to drive system designs and product implementations

Knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference

Understanding the different machine learning approaches and techniques and able to research and test new ones

Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data

Demonstrated leadership and self-direction

Hands-on experience with Linux distributions

Strong communication and data presentation skills

Experience in both R&D environment and software product development is a plus

Experience

Must possess a minimum of 3 years of work experience using Python

Education

Bachelor’s degree in Computer Science with Data Science Emphasis and 5 years of Data Science experience (emphasis in Machine Learning)

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Data Scientist at LEIDOS

Location: Chula Vista

Description

Job Description:

Military and Veterans Health Solutions under the Leidos Health Group is looking for a Data Scientist to support the Warfighter Performance Department at the Naval Health Research Center (NHRC). This work includes collecting and analyzing data during active military training in a variety of locations across the United States as well as international locations. This research addresses the needs and concerns of Special Operations’ Warfighters, as well as Expeditionary Forces, to improve performance, enhance sustainment and mitigate injury. Results are delivered through abstracts, presentations, peer-reviewed journal publications, and government technical reports. The Data Scientist will write funding proposals and participate in all aspects of research protocol execution related to human performance in military operational environments. The Data Scientist will design and develop methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including big data sources. The Data Scientist will develop and use advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets and models complex business problems. The candidate will work with cross-discipline teams in order to ensure connectivity between various databases and systems. The candidate will identify meaningful insights and interpret and communicate findings and recommendations. The Data Scientist may develop information tools, algorithms, dashboards, and queries to monitor and improve business performance; and maintains awareness of emerging analytics and big-data technologies.

Primary Responsibilities

Requirements include but are not limited to:
• Generate and prepare datasets for statistical analyses, develop and test research hypotheses, identify and conduct appropriate statistical analyses such as multiple regression, analysis of variance/covariance, exploratory and confirmatory factor analyses.
• Develop research proposals, research protocols, presentations, technical reports, and publications.
• Be familiar with disciplines such as Natural Language Processing, Machine Learning, Predictive Modeling, Statistical Analyses and Hypothesis Testing and appropriately use them in tasking.
• Effectively communicate processes and results (verbally, graphically, and in writing) for customers and stakeholders
• Develop and maintain collaborative relationships within NHRC and partnering institutions and commands
• Develop and evaluate appropriate experimental and statistical methodologies, write standards of procedure to perform those methodologies, and perform quality assurance/quality control procedures
• Work independently on larger, moderately complex projects/assignments.
• Address complex technical issues/problems using internal best practices and through collaboration with colleagues.
• Develops solutions to technical problems that require deep technical knowledge of military operational physiology research
• Effectively communicate with colleagues across multiple areas
• Assist other technical staff with tasks and assignments.
• Some offsite travel (~20%) may be required for collaboration, presentations, and data collection.
• Comply with all required Leidos and Government requirements and complete required certifications and trainings
• Support Leidos business development efforts such as contributing subject matter expertise to funding proposals.
• Demonstrate Leidos mission, vision, values at all times

Basic Qualifications
• Master’s degree from an accredited US university, or international university of equivalent standard, in physiology, psychology, neuroscience, exercise science, or a related field.
• Requires working knowledge of and ability to apply standards, principles, theories, concepts, and techniques of military operational physiology research and research methods.
• Demonstrate broad understanding of human physiology and performance.
• Candidates must demonstrate knowledge and experience in processing research data.
• Candidates must be a self-starter, act on objectives in an independent manner, demonstrate leadership, work independently in a team, and have the ability to plan and prioritize work.
• Candidates must demonstrate knowledge of human subjects research using controlled laboratory-based or field-based settings.
• Candidates must demonstrate excellent critical thinking with problem-solving skills and an ability to work cooperatively in a team setting. Flexibility in responding to changing demands, timelines, and priorities is required.
• Candidate must demonstrate strong computer skills
• Candidate must demonstrate the ability to extend and apply the knowledge of research to the missions of the NHRC and Navy customer.
• The candidate will be required to acquire, at a minimum, a SECRET classification access level.
• Due to Federal contract requirements, US citizenship is required.

Preferred Qualifications
• Previous experience designing and implementing experiments with high technical sophistication in military, veteran, or related populations.
• Evidence of scientific achievement in the human performance domain is preferred, as demonstrated by the publication of articles and reports, membership in professional scientific organizations, experience in writing and editing technical and scientific research information, and excellent verbal communication skills to confer with professional colleagues/peers.

Naval Health West – NHW

Pay Range:
Pay Range $60,450.00 – $93,000.00 – $125,550.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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For Remote Data Scientist roles, visit Remote Data Scientist Roles

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Senior Bioinformatics Data Scientist at Harnham

Location: Fremont

SENIOR BIOINFORMATICS DATA SCIENTIST

SAN FRANCISCO BAY AREA

$115,000-$165,000 + STOCK + BONUS + BENEFITS

Want to lead and develop your own product to accelerate the drug discovery process? A thriving company in the Bay Area is looking for a talented computational scientist to come in and immediately impact machine learning efforts across the group as a whole. If you are looking for that next step in your career that will allow you to have an immediate translational impact, now is the time to make a move!

THE ROLE

As the Senior Bioinformatics Data Scientist, your responsibilities will include:

Writing signal processing algorithms from scratch
Developing machine learning methods for product development purposes
Work with computational and non-computational scientist to recognize key analysis opportunities

YOUR SKILLS AND EXPERIENCES:

The successful Senior Bioinformatics Data Scientist will have the following skills and experience:

PhD in Bioinformatics, Computational Biology, etc.
Demonstrated proficiency in Python
Industry experience designing machine learning algorithms/pipelines from scratch
Cloud experience (especially AWS) highly desirable
Biological background highly desirable
Past signal processing usage highly desirable

THE BENEFITS:

Generous Salary: $115,000-$165,000 Base Salary
Target Cash Bonus
Employee Stock Purchase Plan
Comprehensive benefits package
And much more!

HOW TO APPLY:

Please register your interest by sending your CV to Riley Hsia via the Apply link on this page.
Apply Here
For Remote Senior Bioinformatics Data Scientist roles, visit Remote Senior Bioinformatics Data Scientist Roles

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