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Data Scientist, Product Analytics

<div>
 We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
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 <br/>
 Data Scientist, Analytics (Technical Leadership) Responsibilities:
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 <ul>
  <li>
   Work with complex data sets to solve challenging problems using analytical and statistical approaches
  </li>
  <li>
   Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
  </li>
  <li>
   Identify and measure success through goal setting, forecasting, and monitoring key metrics
  </li>
  <li>
   Partner with cross-functional teams to inform and execute product strategy and investment decisions
  </li>
  <li>
   Build long-term vision and strategy for programs and products
  </li>
  <li>
   Collaborate with executives to define and develop data platforms and instrumentation
  </li>
  <li>
   Effectively communicate insights and recommendations to stakeholders
  </li>
  <li>
   Define success metrics, forecast changes, and set team goals
  </li>
  <li>
   Support developing roadmaps and coordinate analytics efforts across teams
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   <br/>
  </li>
 </ul>
 Minimum Qualifications:
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 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  </li>
  <li>
   Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
  </li>
  <li>
   8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  </li>
  <li>
   Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  </li>
  <li>
   Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  </li>
  <li>
   Experience communicating complex technical topics in a clear, precise, and actionable manner
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   <br/>
  </li>
 </ul>
 Preferred Qualifications:
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 <ul>
  <li>
   10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
  </li>
  <li>
   Masters or Ph.D. Degree in a quantitative field
  </li>
  <li>
   Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
  </li>
  <li>
   10+ years of experience doing complex quantitative analysis in product analytics
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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   <br/>
  </li>
 </ul>
 About Meta:
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 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
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 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
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 $210,000/year to $281,000/year + bonus + equity + benefits
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 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Data Scientist, Analytics (Technical Leadership)

Pinterest

<div><div><p><b>About Pinterest:</b></p>
<p>
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.</p>
<p>
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.</p>
<p>
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.</p></div><p><b>
What you'll do:</b></p>
<ul>
<li><b>Be the technical lead for the forecasting team</b>. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.</li>
<li><b>Lead the full modeling lifecycle end to end</b>: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability.</li>
<li><b>Set the forecasting technical vision.</b> Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models.</li>
<li><b>Translate forecasts into decisions.</b> Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure.</li>
<li><b>Drive broader time‑series impact beyond point forecasts</b>&mdash;e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning signals for business health.</li>
<li><b>Embed forecasting into the business.</b> Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning.</li>
<li><b>Lead and mentor.</b> Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching.</li></ul><br>
<p></p>
<p><b>
What we're looking for:</b></p>
<ul>
<li>8+ years of combined post-graduate academic and industry experience building and shipping production time‑series/forecasting models with web‑scale data.</li>
<li>Bachelor's degree in a relevant field such as Computer Science or equivalent experience.</li>
<li>A track record of delivering adjustable, well‑calibrated, and explainable forecasting systems that informing decision-making.</li>
<li>Strong background in time‑series modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred.</li>
<li>Expertise in at least one scripting language (ideally Python).</li>
<li>Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow).</li>
<li>Business acumen and ownership mindset&mdash;able to simplify complex problems, connect model outputs to business levers, and prioritize for impact.</li>
<li>Excellent communication skills&mdash;able to distill complex analyses and uncertainty into concise narratives for executive audiences.</li>
<li>Proven technical leadership&mdash;success leading critical projects and materially influencing the scope and output of other contributors.</li></ul><br>
<p></p>
<p><b>
Relocation Statement:</b></p>
<ul>
<li>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</li></ul><br>
<p></p>
<p><b>
In-Office Requirement Statement:</b></p>
<ul>
<li>We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.</li>
<li>This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.</li></ul><br>
<p></p>
<p>
#LI-NM4</p>
<p>
#LI-REMOTE</p><div><p><b>
Our Commitment to Inclusion:</b></p>
<div>
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.</div>
<div></div>
<div><i>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</i></div></div></div>

Staff Data Scientist, Forecasting

Genentech

<div><div><h3 class="jobSectionHeader"><b>The Position</b></h3>
<p>NOTE: Qualified candidates for both South San Francisco, CA and Mississauga, Canada will be considered equally.</p>
<p></p><p>At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). PT Digital and Operational Excellence (PTE) is the organization that catalyzes the global development and execution of PT&rsquo;s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.</p>
<p></p><p>We aim to activate data citizenship and digital mind, revolutionize our FAIR data ecosystem and systems landscape, re-design excellent processes, and generate transformative insights. We collaborate closely with global functions to deliver impactful value to our patients.</p>
<p></p><h3 class="jobSectionHeader"><b>The Opportunity</b></h3>
<p></p><p>As a Senior Data Scientist and Statistician, you will play a critical role in advancing data science and statistical solutions across PT, with a special focus on <b>biologics development</b>. You will collaborate with scientists, engineers, business leaders, and fellow data scientists to design experiments, analyse data, and develop tools that generate insights, improve efficiency, and accelerate drug development.</p>
<p>Beyond hands-on analytics, you will mentor junior colleagues, promote best practices, and lead complex projects - shaping the way data science and statistics contribute to PT&rsquo;s success.</p>
<p></p><p><b>Main Responsibilities</b></p>
<ul><li><p>Provide statistical expertise and develop data science solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality control for biologics.</p>
</li><li><p>Partner with cross-functional teams to frame critical scientific and operational questions, translating business needs into analytical strategies.</p>
</li><li><p>Design and oversee studies to generate high-quality data for robust statistical analysis.</p>
</li><li><p>Apply advanced statistical methods, machine learning, and AI to interrogate complex datasets, driving actionable insights.</p>
</li><li><p>Interpret results and clearly communicate findings, influencing strategic and operational decisions.</p>
</li><li><p>Develop and maintain software tools, algorithms, and automated workflows for data integration, cleaning, and large-scale analysis across heterogeneous sources.</p>
</li><li><p>Build and sustain strong collaborations with internal and external stakeholders.</p>
</li><li><p>Design and deliver training in statistics and data science to upskill the organisation.</p>
</li><li><p>Stay current with emerging methods, regulatory guidance, and industry trends in statistics, data science, and drug development.</p>
</li><li><p>Mentor junior colleagues, guiding them in study design, statistical analysis, coding best practices, and modern data science approaches, building a collaborative and supportive learning environment.</p>
</li></ul><p></p><h3 class="jobSectionHeader"><b>Who you are</b></h3>
<p></p><ul><li><p><b>Educational Qualification:</b> Master's or Ph.D. in Statistics, Biostatistics, data science, and relevant fields.</p>
</li><li><p><b>Expertise and Experience:</b> Extensive experience in designing experiments (DOE), analyzing complex datasets, combined with a deep understanding of pharmaceutical technical development, particularly biologics. Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ability to lead DOE for process characterisation, optimisation, and validation.</p>
</li><li><p><b>Regulatory and Collaborative Skills: </b>Strong familiarity with regulatory guidelines (FDA, EMA), excellent collaborative skills for working in multidisciplinary teams, and outstanding communication skills for reporting and stakeholder liaison.</p>
</li><li><p><b>Problem-Solving and Project Management: </b>Strong analytical and problem-solving skills, ability to manage multiple projects, and high attention to detail to ensure accuracy and reliability.</p>
</li><li><p><b>Continuous Improvement and Learning: </b>Self-motivated, able to work independently and coaching junior colleagues in teams, keen on staying updated with new developments in statistics and data science, and passionate about continuous improvement and learning.</p>
</li></ul><p></p><p>Relocation benefits are not available for this posting.</p>
<p></p><p>The expected salary range for this position based on the primary location of South San Francisco, CA, is $156,200 to $290,200. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p>
<p><b>Benefits</b></p>
<p></p><p>#LI-PK1</p>
<p></p><p>Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p>
<p></p><p>If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p>
</div><p></p><div><h2 class="jobSectionHeader"><b>JOB FACTS</b></h2>
<div><div><ul><li><h3 class="jobSectionHeader"><b>Job Sub Category</b></h3>
<p>Computational Biology</p>
</li><li><h3 class="jobSectionHeader"><b>Schedule</b></h3>
<p>Full time</p>
</li><li><h3 class="jobSectionHeader"><b>Job Type</b></h3>
<p>Regular</p>
</li><li><h3 class="jobSectionHeader"><b>Posted Date</b></h3>
<p>Jun 30th 2026</p>
</li><li><h3 class="jobSectionHeader"><b>Job ID</b></h3>
<p>202606-116612</p></li></ul></div></div></div></div><p></p>

Senior Data Scientist

Common Sense Media

<div><p><b>Data Scientist</b></p><div></div><div><div><div><div><p><b>
Organization</b></p><p><br>
Common Sense Media</p></div><div><p><b><br>
Department</b></p><p><br>
Data</p></div><div><p><b><br>
Reports To</b></p><p><br>
Senior Director, Data &amp; Analytics</p></div><div><p><b><br>
Location</b></p><p><br>
San Francisco, CA</p></div><div><div><p><b><br>
Classification</b></p><p><b><br>
Salary Range</b></p></div><div><p><br>
Full-time, Exempt</p>
<p>$140,00&ndash;$166,250</p></div></div><br>
</div></div></div><p>
</p><p></p><p><b>POSITION OVERVIEW</b></p><p>
Common Sense Media is seeking a Data Scientist to help build data capabilities that allows the organization to answer the questions that matter most to advancing our mission and driving impact for kids and families. This is a hands-on, full-stack individual contributor role responsible for developing pipelines, models, and analyses that turn data from across the Common Sense Media ecosystem into reliable, decision-ready insights.</p><p>
The Data Scientist will develop predictive and statistical models that support organization-wide decisions, design and analyze experiments, apply causal inference methods, and lead impact analyses that measure how Common Sense Media's work affects kids, families, and educators, translating findings into clear, actionable recommendations for both technical and non-technical audiences. The Data Scientist's work will span the full range of data science at Common Sense Media, from foundational data engineering and data modeling through analytics, machine learning, experimentation, and impact analysis.</p><p>
As a senior technical voice on the team, the Data Scientist will help uplevel the organization's capabilities in data science, machine learning, and generative AI, advising on methodology, helping to develop and test AI product features, and raising the technical bar within product and engineering.</p><p>
</p><p><b>KEY RESPONSIBILITIES</b></p><p><i>
Analytics &amp; Modeling</i></p><ul><li><p>
Conduct rigorous exploratory and descriptive analyses that establish the foundational understanding of our audiences, programs, and performance.</p></li><li><p>
Develop predictive and statistical models that support organization-wide decisions.</p></li><li><p>
Apply modern machine learning techniques to ship models and analyses that drive impact.</p></li></ul><p><i>
Experimentation &amp; Causal Inference</i></p><ul><li><p>
Design and execute A/B tests and randomized controlled trials.</p></li><li><p>
Leverage rigorous quasi-experimental designs (e.g., difference-in-differences, regression discontinuity) and advanced causal inference techniques to evaluate the impact of complex product and program decisions where randomized testing is not feasible.</p></li></ul><p><i>
Impact Measurement</i></p><ul><li><p>
Lead rigorous impact analyses and program evaluations that measure how Common Sense Media's work affects kids, families, and educators.</p></li><li><p>
Apply causal inference and evaluation methods to measure real-world outcomes.</p></li></ul><p><i>
Insights &amp; Communication</i></p><ul><li><p>
Translate findings into clear, actionable recommendations for both technical and non-technical audiences.</p></li><li><h1 class="jobSectionHeader">
Partner closely with colleagues across Common Sense Media to put data to work across the organization.</h1></li></ul><p><i><br>
Analytics Engineering</i></p><ul><li>
Own the data models that turn raw data into clean, reliable, analysis-ready data sets used across the organization.</li><li>
Work with internal teams and external partners to establish data collection approaches, integrate new data sources, and ensure that incoming data is structured and trustworthy.</li><li><h1 class="jobSectionHeader">
Build and maintain the data pipelines and transformations necessary to support modeling, reporting, and impact measurement.</h1></li></ul><p><i><br>
Technical Leadership</i></p><ul><li><p>
Serve as a senior technical voice on the team, advising on methodology and raising the technical bar around how to use data in thoughtful decision-making.</p></li><li><p>
Help uplevel the organization's capabilities in data science, machine learning, and generative AI, supporting the development and testing of AI tools and features across the organization.</p></li></ul><p>
</p><p><b>QUALIFICATIONS</b></p><ul><li>
8+ years of experience in applied data science, analytics, or a closely related quantitative field, with a track record of shipping models and analyses that have changed decisions.</li><li>
Strong hands-on skills in SQL and Python or R, and expert use of standard machine learning libraries.</li><li>
Experience building and maintaining production data pipelines using modern cloud data warehouses (Snowflake, BigQuery, or Redshift) and modern data stack tooling (dbt, Airflow, Fivetran, or equivalents).</li><li>
Demonstrated experience designing and analyzing experiments, including A/B tests, quasi-experiments, and causal inference methods.</li><li>
Experience leading rigorous impact or program evaluation that measures real-world outcomes.</li><li>
Experience mentoring junior data scientists.</li><li>
Excellent written and verbal communication skills, with the ability to translate technical work into clear narratives for both technical and non-technical audiences.</li><li>
Demonstrated ability to serve as a senior technical voice within an organization, raising the technical bar of teammates and helping non-technical colleagues use data and AI tools effectively in their work.</li><li><h1 class="jobSectionHeader">
Strong understanding of data governance, privacy, and responsible data and AI practices, with particular sensitivity to data involving children and families.</h1></li><li><h1 class="jobSectionHeader">
Familiarity with product analytics, CRM, and marketing platforms (Amplitude, Google Analytics, Salesforce, Braze) and their underlying data structures is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience building predictive models for subscription, retention, lifetime value, or similar member or customer lifecycle problems is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience implementing and evaluating generative AI or LLM-based solutions, including prompt engineering, fine-tuning, retrieval-augmented generation, or self-hosted models, with rigorous evaluation against human or ground-truth baselines, is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience designing AI evaluation frameworks, including human-in-the-loop evaluation, bias and fairness assessment, and ongoing monitoring of model performance, is a plus.</h1></li><li><h1 class="jobSectionHeader">
Prior experience in a mission-driven, nonprofit, education, or media organization is a plus.</h1></li></ul><p>
</p><p><b>WHAT WE OFFER</b></p><ul><li>
The opportunity to really make a difference in the lives of kids and families!</li><li>
A mission-driven team with a 23-year track record of impact for families and children.</li><li>
Competitive nonprofit compensation and comprehensive benefits.</li><li>
A collaborative, flexible work environment with meaningful leadership access and visibility.</li></ul><p>
</p><p><b>ABOUT COMMON SENSE MEDIA</b></p><p>
Common Sense Media is the leading nonprofit organization dedicated to improving the lives of kids and families by providing the research-backed information, education, and independent voice they need to thrive in the age of apps, algorithms, and AI. We rate, educate, and advocate for policies to protect and prepare kids online. Our ratings, research, and resources reach more than 150 million users globally, over 1.4 million educators, and more than 100,000 schools worldwide every year. Learn more at commonsense.org.</p></div><p></p>

Data Scientist

Ennoble Care

<div><div><p><b>About Us</b></p>
<p>
Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, &quot;To Care is an Honor.&quot; Join Ennoble Care today!</p></div><h3 class="jobSectionHeader"><b>
Position Overview</b></h3>
<p>
We are seeking an experienced Actuary (5+ years of experience) for our value-based care (VBC) team. This role requires a seasoned professional in <b>medical economics, actuarial, or equivalent data analytics experience</b> who can navigate the complex landscape of Medicare risk models, value-based care arrangements, and population health analytics. The ideal candidate will play a critical role in optimizing our organization's performance under CMS total cost of care models while ensuring sustainable financial outcomes. Candidates will ideally have their ASA certification or have passed at least the first three exams.</p>
<p>
This role is currently scoped as an individual contributor, with a growth trajectory toward leadership over time.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<h4 class="jobSectionHeader"><b>Data Management &amp; Medicare Analytics</b></h4>
<ul><li>Analyze VBC performance under various CMS and CMMI total cost-of-care models.</li>
<li>Monitor and forecast financial performance across assigned patient populations.</li>
<li>Conduct comprehensive claims analysis using CCLF (Claims and Claims Line Feed) and BCDA (Beneficiary Claims Data API) datasets.</li>
<li>Refine key reporting and projection methodologies, including IBNR and Risk Score projections.</li>
<li>Process and analyze large healthcare datasets, combining multiple data sources including EHR systems and Medicare claims data.</li>
<li>Ensure data quality and integrity across all analytical processes.</li>
<li>Develop and maintain SQL-based data structures to support population experience studies and VBC program analytics.</li>
</ul><h4 class="jobSectionHeader"><b>Business Intelligence &amp; Reporting</b></h4>
<ul><li>Create fit-for-purpose analytical reports that translate complex actuarial findings into actionable business insights.</li>
<li>Develop executive dashboards and performance metrics aligned with organizational strategic goals.</li>
<li>Present findings and recommendations to leadership teams and clinical stakeholders.</li>
<li>Support budget planning and financial forecasting processes.</li>
</ul><h4 class="jobSectionHeader"><b>Regulatory Compliance &amp; Process Improvement</b></h4>
<ul><li>Stay current with evolving CMS and CMMI program requirements and quality measures.</li>
</ul><h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<h4 class="jobSectionHeader"><b>Education &amp; Certification</b></h4>
<ul><li>Bachelor's degree in Actuarial Science, Statistics, Mathematics, Data Science, or related quantitative field</li>
<li>ASA credentials preferred for Actuarial candidates</li>
</ul><h4 class="jobSectionHeader"><b>Experience Requirements</b></h4>
<ul><li>Strong healthcare data analytics experience in Medicare-focused or Medicare Advantage environments (5+ years of experience)</li>
<li>Thorough understanding of and hands-on experience with Medicare risk adjustment and CMS-HCC models</li>
<li>Experience working with CMS and CMMI total cost of care (ACO) programs</li>
<li>Proven track record spearheading claims analytics using Medicare claims data</li>
<li>In-depth knowledge of healthcare billing processes from both provider and CMS perspectives</li>
</ul><h4 class="jobSectionHeader"><b>Technical Proficiency</b></h4>
<ul><li>Advanced proficiency in Microsoft Excel and model building</li>
<li>Strong SQL skills with the ability to write complex queries</li>
<li>Experience with the Microsoft Azure cloud platform and related analytics tools preferred</li>
<li>Experience with integrating data across multiple large, nuanced data sources (e.g., integration of EHR data with claims datasets)</li>
<li>Experience developing/integrating AI-forward workflows into analytics</li>
</ul><h4 class="jobSectionHeader"><b>Core Competencies</b></h4>
<ul><li>Exceptional analytical and problem-solving capabilities</li>
<li>Strong business acumen with the ability to translate technical findings into strategic recommendations</li>
<li>Excellent written and verbal communication skills for both technical and non-technical audiences</li>
<li>Proven team player with a collaborative approach to cross-functional projects</li>
<li>Demonstrated capability to understand and respond to evolving business needs</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Compensation</b></h4>
<ul><li>The salary range is $150- 170k with a $30- 40k bonus range</li></ul><p></p><div><p><b><br>
Full-time employees qualify for the following benefits:</b></p>
<ul>
<li>Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.</li>
<li>Paid Time Off</li>
<li>Paid Office Holidays</li>
</ul>
<p><b>All employees qualify for these benefits:</b></p>
<ul>
<li>Paid Sick Time</li>
<li>401(k) with up to 3% company match</li>
<li>Referral Program</li>
<li>Payactiv: pay-on-demand. Cash out earned money when and where you need it!</li>
</ul>
<p><b>Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.</b></p>
<p><i>
Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against </i><i>protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national </i><i>origin, religion, disability, and veteran status.</i></p></div></div>

Actuary – Value-Based Care

Dolby

<div><div><div><div><div><div><div>Job description
 </div><div></div><p>Company and benefits</p> <p>Social Impact &amp; Sustainability</p>
</div></div></div><div><div><div><div><div>Job ID</div>
<div>41565</div>
</div></div><div><div><p>Join the leader in entertainment innovation and help us design the future. The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work side by side with industry leaders. Amplify your insatiable curiosity by implementing real-world solutions that revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. We offer a collegial culture, challenging projects, and excellent compensation and benefits.</p>
<p>For this high functioning team, the nature of the work benefits from frequent in-office presence, and employees may be expected to work from a company office up to four days per week. While we remain committed to flexibility, this team&rsquo;s rhythm includes regular in-person connection to support collaboration, learning, and impact.</p>
<p>For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment!</p>
<p>The <b>Legal </b>Department provides core legal support to all Dolby functions, runs several IP-centric businesses, and leads government relations.</p>
<div><div><p>We are looking for an intern to join our Business Planning &amp; Operations group within the Legal organization. In this role, you will support cross-functional teams including the Patent Licensing business, Global Dispute Resolution group, and IP Protection group. Working within the Business Operations group, you will contribute to process optimization and automation efforts while collecting, processing, and synthesizing large datasets into compelling market insights.
</p></div><div><p><b>Key Responsibilities</b></p>
</div><div><p><b>Data Analysis &amp; Insights</b></p>
</div><div><ul><li><p>Collect, clean, and analyze large datasets to identify patterns and trends in the consumer electronics market.</p>
</li></ul></div><div><ul><li><p>Consolidate data from multiple sources into clear, meaningful summaries that inform strategic business decisions.</p>
</li></ul></div><div><ul><li><p>Build and maintain dashboards and reports to track key performance indicators and market movements.</p>
</li></ul></div><div><ul><li><p>Present findings to stakeholders in a concise and actionable format.</p>
</li></ul></div><div><p><b>Market Research</b></p>
</div><div><ul><li><p>Conduct in-depth primary and secondary research on consumer electronics industry trends, competitor activity, and emerging technologies.</p>
</li></ul></div><div><ul><li><p>Monitor market developments and synthesize information into periodic research briefs and newsletters.</p>
</li></ul></div><div><ul><li><p>Evaluate competing products, tools, and technologies to support strategic planning and business development.</p>
</li></ul></div><div><p><b>Process Optimization &amp; Automation</b></p>
</div><div><ul><li><p>Support the identification and implementation of process improvements across Business Operations workflows.</p>
</li></ul></div><div><ul><li><p>Assist in designing and deploying automation solutions to streamline repetitive tasks and increase team efficiency.</p>
</li></ul></div><div><ul><li><p>Document existing processes and collaborate with stakeholders to develop optimized workflows and standard operating procedures.</p>
</li></ul></div><div><ul><li><p>Leverage AI tools and automation platforms to enhance productivity across the Global Dispute Resolution, IP Protection, and Patent Licensing teams.</p>
</li></ul></div></div><div><div><p><b>Data Management &amp; Systems Support</b></p>
</div><div><ul><li><p>Support the extraction, transformation, and loading (ETL) of data into visualization and reporting platforms.</p>
</li></ul></div><div><ul><li><p>Assist in maintaining and improving CRM data quality and workflows in Salesforce.</p>
</li></ul></div><div><ul><li><p>Collaborate with cross-functional teams to ensure data integrity and consistency across systems.</p>
</li></ul></div><div><p><b>Qualifications</b></p>
</div><div><p><b>Required</b></p>
</div><div><ul><li><p>Strong analytical mindset with attention to detail and a passion for turning raw data into actionable insights.</p>
</li></ul></div><div><ul><li><p>Excellent written and verbal communication skills.</p>
</li></ul></div><div><p><b>Preferred Experience &amp; Skills</b></p>
</div><div><ul><li><p>Proficiency in Microsoft Excel, including pivot tables, VLOOKUP/XLOOKUP, and data modeling.</p>
</li></ul></div><div><ul><li><p>Experience with data analysis tools or programming languages (e.g., Python, R, SQL).</p>
</li></ul></div><div><ul><li><p>Familiarity with AI agents, automation tools, or large language model (LLM) applications.</p>
</li></ul></div><div><ul><li><p>Exposure to CRM platforms, particularly Salesforce.</p>
</li></ul></div><div><ul><li><p>Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.</p>
</li></ul></div><div><ul><li><p>Prior coursework or project experience in market research, business analysis, or consumer behavior.</p>
</li></ul></div><div><p><b>Eligibility:</b></p>
</div><div><p>Working towards a Bachelor's degree or Master&rsquo;s degree in Business, Economics, Data Science, Statistics, Computer Science, or a related field; recent grads who are within 6 months of graduation are also eligible to apply. Must be available to work full-time Monday &ndash; Friday for 3 months between September 2026- December 2026.</p>
</div><div><p>Start dates for the internship are as follows: (*note* this date is not flexible)</p>
</div><div><ul><li><p>September 21, 2026</p>
</li></ul></div></div><p>The San Francisco/Bay Area base hourly range for this internship position is $33-38/hr and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.</p></div></div></div></div></div></div></div>

Market Research & Data Analytics Intern

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