data analyst Jobs in New York United States

data analyst

applied ai engineer Jobs in New York United States

applied ai engineer

financial analyst Jobs in New York United States

financial analyst

machine learning engineer Jobs in New York United States

machine learning engineer

senior data scientist Jobs in New York United States

senior data scientist

data scientist

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>
    </span>
   </span>
  </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>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Model Development:
         </span>
        </span>
       </strong>
       <span>
        <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>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <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>
 <span>
  <strong>
   Qualifications:&nbsp;
  </strong>
 </span>
 <ul>
  <li>
   <span>
    <span>
     <span>
      <span>
       <span>
        Master&rsquo;s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <span>
       <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>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Mathematics &amp; Statistics:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Strong foundation in linear algebra, calculus, and statistical modeling.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     <span>
      <span>
       <strong>
        <span>
         <span>
          Machine Learning:
         </span>
        </span>
       </strong>
       <span>
        <span>
         &nbsp;Experience with frameworks like&nbsp;TensorFlow,&nbsp;PyTorch, or&nbsp;scikit-learn.
        </span>
       </span>
      </span>
     </span>
    </span>
   </span>
  </li>
 </ul>
 <span>
  <span>
   <span>
    <span>
     <strong>
      <span>
       <span>
        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>
     </span>
    </span>
   </span>
  </span>
 </span>
</div>


Data Scientist

FanDuel

<div>
 <strong>
  THE POSITION
  <br/>
  <br/>
 </strong>
 Our roster has an opening with your name on it
 <br/>
 <br/>
 FanDuel is looking for a Data Scientist, to drive our Sportsbook customer generosity distribution and bonus spend optimization. In this role you will be responsible for customer segmentation, modeling, automation, reporting and data analysis across all areas of Sportsbook generosity distribution. Using your numerical and technology capabilities you will play a key role in bonus spend research, optimization and communication of results to CRM and Commercial senior management.
 <br/>
 <br/>
 This is a great opportunity for somebody who wants to work in an environment where curiosity is rewarded, and people are empowered to make decisions. The ideal candidate will have a passion for continual learning and developing innovative solutions to business problems.
 <br/>
 <br/>
 <strong>
  THE GAME PLAN
  <br/>
  <br/>
 </strong>
 Everyone on our team has a part to play
 <br/>
 <br/>
 <ul>
  <li>
   Take on data science projects from start to finish, including working with stakeholders to agree project KPIs, and reporting on progress and outcomes throughout projects at agreed cadence
  </li>
  <li>
   Deliver high-quality analysis, customer segmentation and predictive models which help drive incremental revenue through optimal automated bonus spend distribution
  </li>
  <li>
   Improve our understanding of customer behaviors, efficiency of promotions, and effectiveness of bonus spend
  </li>
  <li>
   Through idea generation and exploratory analysis, develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling
  </li>
  <li>
   Create, modify, and evolve models which solve business problems, and show demonstrable improvements to department KPIs
  </li>
  <li>
   Demonstrate accurate insights and predictions using easy to interpret visualizations and clear explanations of results, recommendations, methods, biases and limitations
  </li>
  <li>
   Work with Data Engineering and Analytics Engineer to optimize data quality and data modeling pipelines
  </li>
  <li>
   Take responsibility to learn the necessary skills and techniques, to develop ability to work with independence, integrity and accuracy
  </li>
  <li>
   Collaborate with key stakeholders to help in identifying areas for improvement, and support their strategic objectives
  </li>
  <li>
   Assist in coaching, developing and performance managing less experienced team members
  </li>
  <li>
   Contribute new ideas for data science projects which have demonstrable potential to improve revenue performance or customer experience
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  THE STATS
  <br/>
  <br/>
 </strong>
 What we're looking for in our next teammate
 <br/>
 <br/>
 <ul>
  <li>
   Minimum of 3+ years of previous Data Science or Analytics Experience
  </li>
  <li>
   Minimum 1+ years building and deploying complex machine learning models with real world applications
  </li>
  <li>
   Have a developed technical skill set which facilitates high-quality, efficient &amp; comprehensive quantitative analysis
  </li>
  <li>
   Proficient in SQL and experience of manipulating large datasets in Microsoft Excel
  </li>
  <li>
   Proficient in statistical or programming software and techniques (e.g. in Python, R, C#, VBA, etc.)
  </li>
  <li>
   Strong communication and presentation skills, experienced in explaining technical projects to non-technical stakeholders
  </li>
  <li>
   Experience working with data visualization tools like Tableau an advantage
  </li>
  <li>
   Undergraduate degree in a numerate or technical discipline
  </li>
  <li>
   Interest in sports is a plus
  </li>
  <li>
   Interest or experience in the Sports betting industry is an advantage
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Fanduel
  <br/>
  <br/>
 </strong>
 FanDuel Group is the premier mobile gaming company in the United States. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America&rsquo;s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry&rsquo;s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
 <br/>
 <br/>
 In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states and Puerto Rico.
 <br/>
 <br/>
 The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company&rsquo;s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
 <br/>
 <br/>
 FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
 <br/>
 <br/>
 <strong>
  Player Benefits
  <br/>
  <br/>
 </strong>
 We treat our team right
 <br/>
 <br/>
 We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO &amp; sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here:
 <strong>
  FanDuel Total Rewards
 </strong>
 . *Benefits differ across location, role, and level.
 <br/>
 <br/>
 FanDuel is an equal opportunities employer and we believe, as one of our principles states, &ldquo;We are One Team!&rdquo;. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
 <br/>
 <br/>
 <strong>
  <em>
   The applicable salary range for this position is $116,000 - $145,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
   <br/>
   <br/>
  </em>
 </strong>
</div>


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>


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>

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>

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 <br/>
 <br/>
 The Data team within Plaid&rsquo;s Fraud organization builds the machine learning systems that power Plaid&rsquo;s newest fraud detection products, leveraging the breadth of Plaid&rsquo;s network data to stop fraud before it occurs. We manage the full lifecycle of these systems&mdash;from feature pipeline development and model training to deployment, serving, and monitoring&mdash;ensuring our solutions scale reliably as we grow to support hundreds of customers.
 <br/>
 <br/>
 As a Data Scientist on Plaid&rsquo;s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You&rsquo;ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You&rsquo;ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting. In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products.
 <br/>
 <br/>
 ***We are open to remote candidates***
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements.
  </li>
  <li>
   Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making.
  </li>
  <li>
   Analyze complex datasets to uncover clear, actionable insights that shape product direction.
  </li>
  <li>
   Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of total experience, including at least 2&ndash;3 years working deeply with product analytics, experimentation, or data-driven products.
  </li>
  <li>
   Strong proficiency in SQL and Python.
  </li>
  <li>
   Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies.
  </li>
  <li>
   Skilled in designing, building, and maintaining dashboards and core product performance metrics.
  </li>
  <li>
   Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems.
  </li>
  <li>
   Excellent communicator with strong stakeholder-management skills across diverse teams.
  </li>
  <li>
   Background in fraud or risk domains &mdash; Nice to have.
  </li>
  <li>
   Familiarity with data-insights products and a solid understanding of model-performance metrics &mdash; Nice to have.
  </li>
  <li>
   Exposure to customer-facing or GTM-facing analytics &mdash; Nice to have.
   <br/>
   <br/>
  </li>
 </ul>
 $162,000 - $222,000 a year
 <br/>
 <br/>
 The target base salary for this position ranges from $162,000/year to $222,000/year in Zone 1. The target base salary will vary based on the job's location.
 <br/>
 <br/>
 <strong>
  Our Geographic Zones Are As Follows
  <br/>
  <br/>
 </strong>
 Zone 1 - New York City and San Francisco Bay Area
 <br/>
 <br/>
 Zone 2 - Los Angeles, Seattle, Washington D.C.
 <br/>
 <br/>
 Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
 <br/>
 <br/>
 Zone 4 - Raleigh-Durham and all other US cities
 <br/>
 <br/>
 Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
 <br/>
 <br/>
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 <br/>
 <br/>
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 <br/>
 <br/>
 Please review our Candidate Privacy Notice here .
</div>


Data Scientist - Fraud

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>

Explore 639+ Data scientist in New York United States this March. Find roles across top companies and apply now to boost your career.

639 data scientist jobs In New York United States

Data Scientist

Data Scientist

Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Scientist - Fraud

Senior Data Scientist