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senior data scientist

police department

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Senior Data Scientist
</b></h1></div><div><div><div><div><ul><li>POLICE DEPARTMENT
</li></ul></div></div><div><div>Posted On: 03/03/2026
</div></div><div><div><ul><li>Full-Time
</li></ul></div></div><div><div><div>Location
</div><div>NYC-ALL BOROS</div>
</div></div></div><div><div><div><ul><li>No Exam Required
</li></ul></div></div><div><div><div><div>Department
</div><div>Office Mgmt Analysis &amp; Plan/CV</div>
</div></div></div><p></p><div><div><div>Salary Range:</div>
<div>$75,000.00 &ndash; $160,000.00</div>
</div></div></div></div><div><div><p><b>Save</b></p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div>
<div><div><p>The mission of the New York City Police Department is to enhance the quality of life in New York City by working in partnership with the community to enforce the law, preserve peace, protect the people, reduce fear, and maintain order. The New York City Police Department strives to foster a safe and fair City through the strategic deployment of resources, focusing on both crime prevention and addressing quality-of-life concerns while building lasting community relationships.<br>
<br>
The Office of Management Analysis and Planning (OMAP) analyze and evaluate Departmental policies, programs, and resources to make recommendations to the Police Commissioner in order to ensure maximum organizational efficiency and effectiveness of the Department. OMAP is the research and assessment arm of the Department. comprised of both uniformed and civilian members of the service with a wide variety of academic and professional experiences. OMAP conducts analyses aimed at improving the effectiveness and efficiency of the Department (e.g., personnel deployments, resource allocation), develops complex pilot projects, formulates policy recommendations and prepares briefing materials for the Police Commissioner on a wide range of legislative and procedural issues.<br>
<br>
The Office of Management Analysis and Planning (OMAP) is seeking a skilled and highly motivated Senior Data Scientist to join the New York City Police Department (NYPD) Data Science team. OMAP serves as the primary evaluation and assessment arm of the NYPD. Acting as a &quot;think tank,' OMAP focuses on exploring and implementing innovative strategies and efficiencies aimed at enhancing policy development, evaluating programs, and optimizing organizational structures and staffing.<br>
<br>
A successful candidate will contribute to the section mission by providing technical leadership and designing data science services that solve Department challenges. They will harmonize software across data science projects and deliver advanced machine leaming solutions. Key responsibilities expert-level development work in Python, wrangling both structured and unstructured datasets (e.g. text, geospatial, network data), and designing effective software architecture. Strong project management and team building skills are required.<br>
<br>
WORK LOCATION:
<br>
1 Police Plaza, New York, N.Y. 10038<br>
<br>
WORK SCHEDULE:<br>
Monday to Friday 8 x 4 or 10 x 6<br>
<br>
TO APPLY:<br>
Please visit: https://cityjobs.nyc.gov and search for Job ID #771153<br>
<br>
ADDITIONAL INFORMATION:<br>
In compliance with Federal Law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.<br>
<br>
The City of New York offers a comprehensive benefits package including health insurance for the employee and his or her spouse or domestic partner and unemancipated children under age 26, union benefits such as dental and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account.<br>
<br>
IT PROJECT SPECIALIST - 95710</p><p><b><br>
Minimum Qualifications</b></p><p><br>
1. A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
2. An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
3. A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
4. Education and/or experience which is equivalent to &quot;1&quot;, &quot;2&quot;, or &quot;3&quot; above.</p><p><b><br>
Preferred Skills</b></p><br>
- Ability to lead code reviews for data science and maintain core software packages. - Experience designing full-stack software products using Python, SQL, and/or R. - Experience designing statistical and machine leaming models (e.g. scikit-learn, statsmodels. PyTorch, HuggingFace). - Experience performing a wide range of data science tasks, including but not limited to data visualization, natural language processing, geospatial analytics, and nework analysis (e.g. Pandas, NumPy. Matplotlib, NLTK, GeoPandas, Flask). - Excellent oral. written, analytic, organizational, and interpersonal skills and attention to detail are required. - Ability to manage technical debt and use design patterns to design effective software architecture. - Ability to manage multiple projects simultaneously and meet tight deadlines. - Ability to train junior team members and work cross-functionally to strengthen relationships across the department. - Knowledge and understanding of criminal justice policy and research literature is preferred.<br>
<p><b>
Public Service Loan Forgiveness</b></p><br>
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.<br>
<p><b>
Residency Requirement</b></p><br>
New York City Residency is not required for this position<br>
<p><b>
Additional Information</b></p><div></div><p><br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p></div>
</div><div><div><p><b>
</b></p><p><b>Save</b></p>
</div></div></div></div><div><div><div><div><div><div><div>Job ID
</div><div>771153</div>
</div></div><div><div><div><div>Posted until
</div><div>04/01/2026</div>
</div></div></div><div><div><div><div>Title code
</div><div>95710</div>
</div></div></div><div><div><div><div>Civil service title
</div><div>IT PROJECT SPECIALIST</div>
</div></div></div><div><div><div><div>Title classification
</div><div>Non-Competitive-5</div>
</div></div></div><div><div><div><div>Business title
</div><div>Senior Data Scientist</div>
</div></div></div></div><div><div><div><ul><li><div>Experience Level: </div>Experienced (Non-Manager)
</li></ul></div></div><div><div><div><div>Job level
</div><div>00</div>
</div></div></div><div><div><div><div>Number of positions
</div><div>1</div>
</div></div></div><div><div><div><div>Work location
</div><div>1 Police Plaza, N.Y.</div>
</div></div></div><div><div><ul><li><div>Category: </div>Technology, Data &amp; Innovation
</li></ul></div></div></div></div></div></div><div><div><div><div><div>Senior Data Scientist</div></div></div></div></div></div><p></p>

Senior Data Scientist

Alma

<div><div><p>Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma's free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc's Best Workplaces in 2022 and 2023.</p>
<div>
Website</div>
<div>Job Board</div>
<div>Values</div>
<div>Candidate Interview Guide</div>
<div></div>
<div>-</div>
</div><div></div><h2 class="jobSectionHeader"><b>
Senior Data Scientist I, Analytics</b></h2>
<p>
Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma's free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc's Best Workplaces in 2022 and 2023.</p>
<p>
The Data Science team helps Alma achieve its mission by leveraging data to inform business strategy and drive product innovations. We are looking for a Senior Data Scientist to join the Client Experience team to make searching for the right therapist a seamless experience. In this role, you will apply your expertise in analytics and experimentation to solve challenging problems including conversion funnel optimization, search ranking, and client-provider matching. You will collaborate with a diverse cross-functional team of product managers, software engineers, and designers to define and execute on the Client Experience product roadmap.</p><br>
<p></p>
<h2 class="jobSectionHeader"><b>
What you'll do:</b></h2>
<ul><li>Generate insights through deep-dive analysis to inform strategy and prioritization</li>
<li>Define metrics and create dashboards to measure product performance</li>
<li>Design, execute, and analyze A/B testing experiments to validate product hypotheses</li>
<li>Collaborate with product, engineering, and marketing stakeholders to define the product roadmap</li>
<li>Identify opportunities and initiate new data science projects that drive company OKRs</li>
<li>Communicate technical insights effectively to influence decision-making</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Who you are:</b></h2>
<ul><li>You have a Master's degree in a relevant quantitative field (e.g. data science, computer science, statistics, economics) or equivalent in industry experience</li>
<li>You have 2-4 years of experience as a data scientist supporting product development</li>
<li>You are an expert in SQL</li>
<li>You are proficient in either R or Python for data analysis</li>
<li>You have experience designing and analyzing A/B testing experiments and guide product decisions with experimental insights</li>
<li>You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>We're a remote-first company</li>
<li>Health insurance plans through Aetna (medical and dental) and MetLife (vision), including FSA and HSA plans</li>
<li>401K plan (ADP)</li>
<li>Lifestyle Spending Account for health, wellness, and family care</li>
<li>Monthly co-working space membership stipend</li>
<li>Monthly work-from-home stipend</li>
<li>Financial wellness benefits through Northstar</li>
<li>Pet discount program through United Pet Care</li>
<li>Financial perks and rewards through PerkSpot</li>
<li>EAP access through Aetna</li>
<li>One-time home office stipend to set up your home office</li>
<li>Inclusive family and medical leave plans</li>
<li>12 paid holidays and 1 Alma Give Back Day</li>
<li>Flexible PTO</li></ul><br>
<p></p>
<p>
Salary Band: $143,900 -$180,000</p><br>
<p></p>
<p>
All Alma jobs are listed on our careers page. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information throughout the recruiting process. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with a helloalma.com email address.</p><div><p>
Learn more about how Alma handles applicant data by reading Alma's Applicant Privacy Notice.</p></div></div>

T. Rowe Price

<div><div><div>At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.</div></div><div></div><div><div>
We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You&rsquo;ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you&rsquo;ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.</div></div><div></div><div><div>
Join us for the opportunity to grow and make a difference in ways that matter to you.</div></div><div></div><div>
About the Team</div><div>
Are you a curious problem solver who asks great questions and loves collaborating across disciplines? At T. Rowe Price, Data Scientists build the analytics and AI that power better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our new Baltimore, MD Harbor Point location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact in asset management. If you&rsquo;re a hands‑on leader who cares about people as much as technology, we&rsquo;d love to talk.</div><div></div><div>
Role Summary</div><div>
This is a hands‑on, end‑to‑end lead role&mdash;from discovery to production. As a team leader, you will think creatively and scale modern AI/Data Science practices on Databricks, set team standards, and drive collaborative delivery. T. Rowe Labs is focused on building the firm&rsquo;s next‑generation data and AI platform, aiming to seamlessly deliver on‑demand ML‑powered insights across our firm.</div><div></div><div>
Responsibilities</div><ul><li><div>
Contribute to the full data &amp; model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring.</div></li><li><div>
Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI/CD and reproducible experiments.</div></li><li><div>
Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks); ensure repeatable pipelines.</div></li><li><div>
Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost.</div></li><li><div>
Deliver well‑defined work items; clarify requirements through thoughtful questions and proposals.</div></li><li><div>
Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.</div></li><li><div>
Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions.</div></li><li><div>
Help shape elements of the data/ML platform strategy and drive execution within your domain.</div></li><li><div>
Balance strategic and pragmatic concerns; proactively surface risks and resolve issues.</div></li></ul><div></div><div>
Qualifications</div><div>
Required:</div><ul><li><div>
BS/MS in a quantitative field (CS, Statistics, Applied Math, Engineering, Economics) or equivalent; 5+ years in data science/ML.</div></li><li><div>
Experience with automated pipelines, testing for data/models, and model lifecycle management (registry, versioning, monitoring).</div></li><li><div>
Solid understanding of cloud‑native architectures (AWS).</div></li><li><div>
Excellent communication and collaboration skills; adept at asking incisive questions and aligning diverse stakeholders.</div></li></ul><div></div><div>
Preferred:</div><ul><li><div>
Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation).</div></li><li><div>
Strong Python and Spark expertise; hands‑on Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).</div></li><li><div>
Time‑series/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt).</div></li><li><div>
A solid understanding of financial markets and instruments.</div></li><li><div>
Commitment to quality via unit/integration tests, data validation, documentation, and code review.</div></li></ul><div></div><div>
FINRA Requirements</div><div>
FINRA licenses are not required and will not be supported for this role.</div><div></div><div>
Work Flexibility</div><div>
This role is eligible for hybrid work, with up to three days per week from home.</div><div></div><div><i>
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status</i>.</div><div></div><div>
Base Salary Ranges</div><div>
Please review the job posting for the location of this specific opportunity.</div><div></div>
$121,000.00 - $206,000.00 for the location of: Maryland, Colorado, Washington and remote workers<br>
$133,000.00 - $227,000.00 for the location of: Washington, D.C.<br>
$151,000.00 - $258,000.00 for the location of: New York, California<div></div><div>
Placement within the range provided above is based on the individual&rsquo;s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.</div><div></div><div>
Commitment to Diversity, Equity, and Inclusion</div><div>
At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.</div><div></div><div>
Benefits</div><div><div><div>
We value your goals and needs, at work and in life. As an associate, you&rsquo;ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.</div></div><div></div><div><div><br>
Featured employee benefits to enrich your life:</div></div><div><ul><li><div>
Competitive compensation</div></li></ul></div><div><ul><li><div>
Annual bonus eligibility</div></li></ul></div><div><ul><li><div>
A generous retirement plan</div></li></ul></div><div><ul><li><div>
Hybrid work schedule</div></li></ul></div></div><div><div><ul><li><div>
Health and wellness benefits, including online therapy</div></li></ul></div><div><ul><li><div>
Paid time off for vacation, illness, medical appointments, and volunteering days</div></li></ul></div><div><ul><li><div>
Family care resources, including fertility and adoption benefits</div></li></ul></div><div></div><div><div><div><br>
Learn more about our benefits.</div></div></div></div><div></div><div>
T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.</div></div>

MedReview Inc.

<div>
 <span>
  <strong>
   Position Summary:&nbsp;
   <br/>
  </strong>
 </span>
 <span>
  <span>
   <span>
    <span>
     <span>
      <span>
       MedReview is looking for a talented and experienced
       <strong>
        Data Scientist
       </strong>
       to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models.
       <br/>
       <br/>
      </span>
     </span>
    </span>
   </span>
  </span>
 </span>
 <span>
  <span>
   <span>
    <span>
     <strong>
      <span>
       <span>
        Responsibilities:
       </span>
      </span>
     </strong>
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  </span>
 </span>
 <ul>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Problem Identification:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Data Collection &amp; Preparation:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
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    <span>
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      <span>
       <strong>
        <span>
         <span>
          Model Development:
         </span>
        </span>
       </strong>
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        <span>
         &nbsp;Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Exploratory Data Analysis (EDA):
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Analyze datasets to uncover hidden patterns, trends, and anomalies.
        </span>
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  </li>
  <li>
   <span>
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      <span>
       <strong>
        <span>
         <span>
          Communication &amp; Visualization:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Translate technical findings into "data stories" using tools like&nbsp;Tableau&nbsp;or&nbsp;Power BI&nbsp;to influence executive decisions.&nbsp;
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
 </ul>
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  <strong>
   Qualifications:&nbsp;
  </strong>
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  <li>
   <span>
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     <span>
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       <span>
        Master&rsquo;s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
       </span>
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    </span>
   </span>
  </li>
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     <span>
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       <strong>
        <span>
         <span>
          Programming:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Proficiency in&nbsp;Python&nbsp;or&nbsp;R&nbsp; along with&nbsp;SQL&nbsp;for database querying.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
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       <strong>
        <span>
         <span>
          Mathematics &amp; Statistics:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Strong foundation in linear algebra, calculus, and statistical modeling.
        </span>
       </span>
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  </li>
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          Machine Learning:
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       </strong>
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         &nbsp;Experience with frameworks like&nbsp;TensorFlow,&nbsp;PyTorch, or&nbsp;scikit-learn.
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  </li>
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     <strong>
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        Soft Skills:
       </span>
      </span>
     </strong>
     <span>
      <span>
       &nbsp;Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences.&nbsp;Experience working with global and remote teams
      </span>
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  </span>
 </span>
</div>


Data Scientist

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 <strong>
  Mountain View, CA, USA; New York, NY, USA
 </strong>
 .
 <strong>
  Minimum qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD degree in Computer Science, a related field, or equivalent practical experience.
  </li>
  <li>
   2 years of experience leading a research agenda.
  </li>
  <li>
   One or more scientific publication submission(s) for conferences, journals, or public repositories.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2 years of coding experience.
  </li>
  <li>
   1 year of experience leading research efforts and influencing other researchers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
 <br/>
 <br/>
 As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
 <br/>
 <br/>
 Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we&rsquo;re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
 <br/>
 <br/>
 The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary 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 salary range for your preferred location during the hiring process.
 <br/>
 <br/>
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Author research papers to share and generate impact of research results across function and in the research community.
  </li>
  <li>
   Help in growing research business by sharing research trends and best practices within the community.
  </li>
  <li>
   Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
  </li>
  <li>
   Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.
  </li>
  <li>
   Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>


Senior Research Scientist, Google Research

Roku

<div>
 Teamwork makes the stream work.
 <p>
  &nbsp;
 </p>
 <strong>
  Roku is changing how the world watches TV
 </strong>
 <p>
  Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 </p>
 <p>
  From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 </p>
 <p>
  &nbsp;
 </p>
 About the team
 <p>
  The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.
 </p>
 <p>
  &nbsp;
 </p>
 About the role
 <p>
  Roku is looking for a Data Scientist to join the Core Analytics team and provide support for our Customer Intelligence function, part of the broader Planning &amp; Optimization team. Together, we answer high-impact business questions from senior leaders with clear, decision-ready insights. You&rsquo;ll work on customer analytics that directly shape how Roku grows engagement, retention and monetization across the streaming ecosystem, with visibility to cross-functional leaders and meaningful ownership over high-impact questions.&nbsp;
 </p>
 <p>
  This role is more than analytics and is intentionally &ldquo;business-forward&rdquo;. We're looking for someone who can translate customer behavior into metrics and narratives which can help define our customer strategy, and/or measure the impact of initiatives on customer behavior. You&rsquo;ll be expected to translate ambiguous stakeholder needs into strong analytical narratives and executive-ready deliverables. Familiarity with causal inference/experimentation is important; deep specialization is a plus but not required.&nbsp;This is a hybrid role with four days per week in the office, Monday through Thursday.  The selected candidate will be based out of NYC.
 </p>
 <p>
  For New York Only - The estimated annual salary for this position is between $152,000-$184,000 annually.
 </p>
 <p>
  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.  This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.&nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 What you'll be doing&nbsp;
 <ul>
  <li>
   Own end-to-end analyses: scope the question, define success metrics, pull data, analyze, synthesize, and deliver data-driven narratives.&nbsp;
  </li>
  <li>
   Drive stakeholder alignment: clarify objectives, assumptions, tradeoffs, and decision points; ensure outputs are usable.&nbsp;
  </li>
  <li>
   Build crisp storytelling &amp; presentations: create executive-ready readouts (slides, memos) with clear &ldquo;so what / now what.&rdquo;&nbsp;
  </li>
  <li>
   Develop SQL and Python-based workflows: write and review SQL/Python code to create datasets, compute KPIs, and validate results; use Airflow to maintain and build new pipelines when needed.&nbsp;
  </li>
  <li>
   Create reporting in Tableau/Looker: develop dashboards or recurring scorecards that make performance tracking easier and reduce ad-hoc churn.&nbsp;
  </li>
  <li>
   Measurement &amp; causal thinking: apply or partner on quasi-experimental approaches (e.g., diff-in-diff, propensity matching, synthetic controls) with appropriate caveats to address incrementality questions. &nbsp;
  </li>
  <li>
   Raise analytical quality: ensure statistical rigor, bias awareness, and clear limitations. &nbsp;
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 We're excited if you have
 <ul>
  <li>
   3+ years (or equivalent) in analytics/data science roles driving business decisions (tech, media, marketplaces, consumer products, etc.).&nbsp;
  </li>
  <li>
   Strong SQL (joins, window functions, building analysis-ready tables, QA/validation).&nbsp;
  </li>
  <li>
   Proficiency in Excel to work with data, tables and visualization. &nbsp;
  </li>
  <li>
   Strong ability to communicate insights: structured thinking, clear writing, confident presenting to non-technical and executive audiences.&nbsp;
  </li>
  <li>
   Solid foundation in statistics (hypothesis testing, confidence intervals, regression basics).&nbsp;
  </li>
  <li>
   Experienced with Python for analysis and data pipeline production (via Airflow).&nbsp;
  </li>
  <li>
   Hands-on experience with visualization tools like Tableau or Looker&nbsp;
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <strong>
  Our Hybrid Work Approach
 </strong>
 <p>
  Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  Benefits
 </strong>
 <p>
  Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  Accommodations
 </strong>
 <p>
  Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  The Roku Culture
 </strong>
 <p>
  Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 </p>
 <p>
  We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 </p>
 <p>
  To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 </p>
 <p>
  By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 </p>
</div>


Uber

<div><b>About the Role
</b><br>
<br>
Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants!
<br>
<br>
We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance.
<br>
<br>
<b>About the Team (We are hiring for multiple teams)
</b><br>
<br>
We are building the most preferred online delivery platform globally and driving innovation across a number of areas including:
<ul><li><b>Fulfillment: </b>Delivery is the core of our product. We carefully refine a living and breathing marketplace to balance long run outcomes with the everyday experiences of our customers and couriers.
</li><li><b>Consumer: </b>We help users all over the world find what they need on UberEats. To do so we build state of the art recommendation systems and novel user experiences to help users discover the selection around them.
</li><li><b>Ads: </b>Ads is one of the fastest growing lines of businesses at Uber. We work on end-to-end experience across lines of business, from enrolling advertisers, to designing auction and bidding, and integrating ads into the user experience.
</li><li><b>Offer: </b>We optimize merchant offers, by identifying the optimal selection to make the platform affordable to consumers, by innovating on pricing models to align incentives, and by maximizing return for merchants through targeting.
</li><li><b>Merchant: </b>Dedicated to optimizing merchant experience and driving merchant success at every stage of their lifecycle. We drive strategic and product decisions that expand merchant selections and maximize the value merchants bring to our marketplace.
</li></ul><b>What You'll Do
</b><ul><li>Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.
</li><li>Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
</li><li>Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
</li><li>Design and analyze experiments, present results that provide actionable recommendations.
</li><li>Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
</li><li>Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
</li><li>Owning the product development cycle end-to-end from data and science aspects.
</li></ul><b>Basic Qualifications
</b><ul><li>Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
</li><li>Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent (2+ years if holding a Ph.D.)
</li><li>Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
</li><li>Ability to use Python/R to work efficiently at scale with large data sets.
</li></ul><b>Preferred Qualifications
</b><ul><li>Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
</li><li>Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
</li><li>Excellent communication skills across technical, non-technical, and executive audiences.
</li>Experience within a Delivery or Ecommerce business.<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Scientist, Delivery (Multiple Teams)

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