CrawlJobs Logo

Senior Data Scientist, Analytics

pomelocare.com Logo

Pomelo Care

Location Icon

Location:
United States

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

160000.00 - 180000.00 USD / Year

Job Description:

Build analytic solutions that drive impact across Pomelo's business and demonstrate value to our stakeholders. Play a leading role in leveraging data to inform critical business decisions. Generate data and insights for both internal teams and external stakeholders that impact both our business decisions and the care that we deliver to patients.

Job Responsibility:

  • Become an expert in the data that Pomelo has about our patient care and clinical outcomes, and play a foundational role in building the data culture of Pomelo
  • Build recurring and custom reports and dashboards to quantify key metrics around care delivery, operational performance, and patient outcomes
  • Partner closely with various teams (such as Customer Success, Operations, Market Operations, and Finance) on scoping requests and translating stakeholder needs into technical requirements
  • Identify opportunities to reduce manual time spent on reporting, and implement solutions using the appropriate technical tools
  • Think creatively about how to use data to tell our value story, improve patient care, and inform strategic decisions
  • define appropriate metrics and create visualizations

Requirements:

  • 4+ years professional experience in data analytics, data science, data engineering, or statistical analysis involving SQL
  • Passionate about improving maternal health outcomes
  • An autonomous individual contributor capable of prioritizing work across various workstreams
  • Experienced scoping and implementing data-driven solutions to ambiguous problems, prioritizing efficacy over complexity
  • Excited to work cross-functionally across technical and non-technical stakeholders, including folks who do not share your technical expertise
  • A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences

Nice to have:

  • Experience working with healthcare data
  • Proficient in at least one programming language (e.g., Python)
  • Experience presenting analyses to senior business audiences
  • Experience with data dashboarding or visualization (e.g., Looker, Tableau, Metabase)
  • Experience working with dbt
  • Experience in a customer-facing role
What we offer:
  • Competitive healthcare benefits
  • Generous equity compensation
  • Unlimited vacation

Additional Information:

Job Posted:
January 13, 2026

Employment Type:
Fulltime
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Data Scientist, Analytics

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...
Location
Location
United States , Bethesda, MD
Salary
Salary:
52.06 - 82.45 USD / Hour
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
  • Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
  • Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
  • Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
  • Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement
Job Responsibility
Job Responsibility
  • Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
  • Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
  • Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
  • Develop and implement segmentation and modeling strategies
  • Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
  • Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
  • Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
  • Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
  • Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
  • Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows
What we offer
What we offer
  • Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts
  • Fulltime
Read More
Arrow Right

Senior Data Scientist - Workforce Analytics

As a Senior Data Scientist on our Team, you will partner closely with key busine...
Location
Location
United States , San Francisco
Salary
Salary:
145300.00 - 233400.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience working with data
  • BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field
  • experience in building business impacting analytic solutions
  • experience using data to influence operational teams
  • track record of successfully driving analytic initiatives
  • ability to bridge the gap between business problem and data
  • strong communication skills (non-technical) and core tech skills
  • ability to learn new things quickly
  • ability to take an ambiguous assignment and move rapidly to deliver iterative value
  • ability to mentor / grow less experienced analysts
Job Responsibility
Job Responsibility
  • Work with a strong group of data scientists to advance core data artifacts
  • develop strong collaborative partnerships with business and operations leaders
  • provide technical expertise in data visualization, deep business acumen, stakeholder engagement and operational insights via analysis
  • work with a cross functional team to drive improvement and efficiency
  • use compelling data, deep business acumen and exceptional communication to drive business strategy and execution
  • address business challenges, performance bottlenecks and growth opportunities with analytic solutions
  • propose rapid experiments or A/B tests to assess the effect of new strategies or initiatives
  • play the role of analytic visualization expert in cross functional teams
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Senior Medical Data Scientist will play a vital role in supporting Global Me...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Computer Science, Engineering, Statistics, or a related quantitative field and 2+ year(s) of experience in data analytics or data science
  • OR, Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 5+ years of experience in data analytics or data science
  • OR, Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 7+ years of experience in data analytics or data science
  • Experience in data science, statistics, machine learning, or advanced analytics, with hands-on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification
  • Demonstrated hands-on expertise in data science, statistical modeling, machine learning, advanced predictive modeling, NLP, or related fields, with successful delivery of end-to-end solutions
  • Advanced programming in SQL and Python (R a plus)
  • comfort working in Databricks or similar environments
  • Strong storytelling and presentation skills
  • ability to translate data into clear, compelling insights
Job Responsibility
Job Responsibility
  • Design and build high-impact projects that address complex medical questions across therapeutic areas, applying advanced data science methods (predictive modeling, NLP, LLMs, machine learning, causal inference)
  • Conduct end-to-end data science projects across structured and unstructured datasets (e.g., HCP sentiment, scientific engagement data, publications, CRM/field medical data) using Python, R, SQL, Tableau, Power BI, or similar platforms
  • Drive the design, application, and evaluation of test-and-learn approaches — including causal inference methods, advanced A/B testing, and pilots, with accountability for methodological rigor and actionable insights
  • Partner with business leaders and stakeholders to define problem statements, set project scope, and design and conduct medical data science projects such as MSL engagement optimization, MSL note sentiment analysis using LLMs, and digital engagement impact measurement, turning complex data into insights that enable more effective field medical activities
  • Design and optimize scalable data pipelines in collaboration with engineering teams, ensuring reproducibility, robustness, and compliance in deployment workflows
  • Translate complex model outputs into clear, actionable insights and recommendations and deliver compelling presentations, reports, and visualizations to medical and cross-functional leadership teams
  • Serve as a technical SME (subject matter expert) in data science, providing thought influencing designing and methodology choices across the MDnA team
  • Passion to continuously learn, evaluate and introduce emerging technologies (e.g., Generative AI, LLMs, advanced A/B testing frameworks) and act as a motivational peer to strengthen Amgen’s data science toolbox
  • Maintain best practices in reproducibility, documentation, version control, and model governance across teams
Read More
Arrow Right

Senior Data Scientist

We are seeking a highly experienced and motivated Senior Data Scientist to join ...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 8–14 years of relevant experience
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of advanced analytics, statistical models, and machine learning solutions to generate actionable insights that enhance compliance monitoring, auditing, and risk assessment
  • Manage and oversee data science projects end-to-end, including project scoping, planning, execution, and delivery
  • ensure quality control (QC) and validation of work produced by junior data scientists
  • Develop scalable, automated data pipelines and AI-driven analytics products to improve efficiency and accuracy in audit and compliance processes
  • Partner with cross-functional stakeholders across Compliance, Internal Audit, Commercial, R&D, and Information Systems to design and implement analytics solutions aligned with business priorities
  • Access, integrate, and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify trends, anomalies, and compliance risks
  • Serve as a technical and analytical mentor to data scientists and analysts, promoting best practices in data science methodology, documentation, and reproducibility
  • Stay current with emerging technologies and techniques, including generative AI, agentic AI, and automation frameworks, to continuously advance analytical capabilities
  • Effectively communicate complex analytical concepts and findings to both technical and non-technical audiences, including senior leaders
  • Contribute to strategic planning and roadmap development for analytics initiatives within Compliance and Internal Audit
What we offer
What we offer
  • competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Read More
Arrow Right

Senior Data Scientist in Marketing Analytics

Join Ekimetrics, a leading data science and AI solutions provider, as a Senior D...
Location
Location
United States , New York
Salary
Salary:
110000.00 USD / Year
assessfirst.com Logo
Assessfirst
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor or Master's degree in a quantitative discipline (statistics, applied mathematics, computer science, economics, operations research, business/MBA) from a leading academic institution
  • 3+ years of experience in Data Analysis / Modeling / Advanced Analytics / Econometrics in a business setting, preferably in a client-facing consulting-oriented role
  • Passion for data, extensive knowledge of statistics or applied mathematics, experience using advanced analytical methodologies (e.g., regression analysis)
  • Digital and Marketing strategy curiosity
  • Experience with statistical software such as Python, R
  • Strong knowledge of marketing and media strategy, and the key questions for the modern CMO
  • Excellent communication skills – especially translating complex technical findings into plain language insights
  • Demonstrated ability to develop new and lasting client relationships across multiple industries
  • Team oriented and collaborative working style
  • Management experience and demonstrated ability to develop talent and build a high performing team
Job Responsibility
Job Responsibility
  • Design and scope new projects, ensuring the right analyses are applied to client questions and that the business case is achievable
  • Lead project teams, ensuring the delivery of highly valuable, effective data science solutions that meet client needs, and driving high client value
  • Support the development of junior colleagues, actively engaging in transversal topics such as thought leadership, innovation streams, knowledge management, and recruitment
  • Gather and analyze data, build statistical models, and translate quantitative insights into actionable strategic recommendations
  • Deliver results as a persuasive story
  • Support client retention and new business opportunities
  • Contribute to the development of junior consultants through knowledge sharing and mentorship
  • Help lead our fast growth by contributing to local and global initiatives such as Thought-Leadership, Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques
What we offer
What we offer
  • Medical insurance, dental, and vision
  • Emphasis on work-life-balance and 20 PTO days per year and holidays
  • Dynamic environment with a strong culture and great office in FiDi
  • Close-knit team with friendly environment, bi-monthly team events
  • Creative and entrepreneurial start-up environment with strong promotion opportunities
  • Best-in-class methodologies and cutting-edge technologies in marketing analytics
  • Unique internal training package with 70+ sessions in our Eki.Academy digital platform
  • Client exposure up to the executive level in different industries and countries
  • Opportunities for international mobility across our three other offices in Paris, London, Hong Kong and Shanghai
  • Generous bonus package
  • Fulltime
Read More
Arrow Right

Senior Web Data Scientist

The Research, Analytics & Data Science (RAD) team at Intercom use data and insig...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Track record working with and influencing the roadmaps of web teams
  • Significant experience of using AB testing to optimise website performance
  • Strong familiarity with Google Analytics
  • Excellent communication skills (technical and non-technical) and a focus on driving impact
  • Desire to mentor other data scientists and share best practices to elevate the use of data science at Intercom
  • Growth mindset and sense of ownership
  • Excellent SQL skills
Job Responsibility
Job Responsibility
  • Build relationships with and influence web leads from product, design and engineering to shape the strategy and roadmaps for our websites
  • Measure outcomes and develop success metrics to understand the impact of changes, through analysis and experimentation and collaborate with our RevOps teams to understand how our website contributes to Intercom’s commercial performance
  • Drive projects to improve the tools and infrastructure that data scientists use to do their work
  • Be a role model for more junior data scientists on the team
What we offer
What we offer
  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work!
  • Pension scheme & match up to 4%
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
  • Fulltime
Read More
Arrow Right

Senior Web Data Scientist

The Research, Analytics & Data Science (RAD) team at Intercom use data and insig...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Track record working with and influencing the roadmaps of web teams
  • Significant experience of using AB testing to optimise website performance
  • Strong familiarity with Google Analytics
  • Excellent communication skills (technical and non-technical) and a focus on driving impact
  • Desire to mentor other data scientists and share best practices
  • Growth mindset and sense of ownership
  • Excellent SQL skills
Job Responsibility
Job Responsibility
  • Build relationships with and influence web leads from product, design and engineering to shape the strategy and roadmaps for our websites
  • Measure outcomes and develop success metrics to understand the impact of changes, through analysis and experimentation and collaborate with our RevOps teams to understand how our website contributes to Intercom’s commercial performance
  • Drive projects to improve the tools and infrastructure that data scientists use to do their work
  • Be a role model for more junior data scientists on the team
What we offer
What we offer
  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews
  • Pension scheme & match up to 4%
  • Life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers
  • Cycle-to-Work Scheme
  • Secure bike storage
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

We’re looking to add a Senior Data Scientist to the Loom Product team to help us...
Location
Location
United States , San Francisco
Salary
Salary:
175100.00 - 233400.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in an analytics role turning data into insights and recommendations
  • Strong analytical and communication skills with the ability to synthesize insights into compelling stories
  • Experience with the SaaS customer lifecycle from acquisition to retention
  • Experience with designing and analyzing experiments
  • Superior SQL (Snowflake, Postgres) skills - able to write structured and efficient queries on large data sets
  • Experience with a Business Intelligence tool (e.g. Tableau or Hex)
  • Experience with a statistical scripting language (e.g. R or Python) is a plus
Job Responsibility
Job Responsibility
  • Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
  • Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
  • Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
  • Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
  • Partner with cross-functional teams to inform, influence, and execute strategy decisions
  • Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
  • Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
  • Fulltime
Read More
Arrow Right