data scientist

data analyst

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data scientist, product analytics Jobs in New York

data scientist, product analytics

data science analyst

Roc Nation

<div>
 
 Job Summary
 
 
 
 Title: Data Analyst
 
 
 Reports to: Sr. Director, Data Science &amp; Analytics
 
 
 Location: New York, NY (On-Site, 5 days a week in office)
 
 
 
 The Role
 
 
 
 Roc Nation is seeking a Data Analyst to join our growing Data Science &amp; Analytics team. This role sits at the intersection of data, music, marketing, and business operations &mdash; requiring technical proficiency in data modeling, querying and reporting.
 
 
 The incumbent will have experience partnering with stakeholders and bridging the gap between data, decisions, and operational processes. You will work across all business verticals including Music, Distribution, Sports, Brands and Philanthropy to deliver impactful insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Reporting &mdash; Deliver regular reporting to stakeholders on music streaming performance and social engagement for our roster of clients. Support the digital marketing and brand partnerships teams with ad-roc analysis and reporting
 </li>
 <li>
 Insights &mdash; Address incoming requests for analysis and reporting that supports decision making across digital marketing, brand partnerships, and distribution
 </li>
 <li>
 Data Products &mdash;Build, maintain, and improve data products and self-service analytics offering with an emphasis on decisions and operational use cases
 </li>
 <li>
 Stakeholder Partnerships &mdash; Partner with stakeholders to understand business context, decisions, and operational processes while translating stakeholder needs into analysis and data product requirements
 </li>
 <li>
 Champion a Data Centric Culture &mdash; where stakeholders are empowered by data to make the right decisions at the right time
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience as a data analyst developing data models and building data products and self-service analytics dashboards with modern business intelligence tools (Looker, Tableau, Power BI, etc.) that drive decision making and outcomes
 </li>
 <li>
 Experience working with and developing cloud data warehouses (Big Query, Snowflake, Redshift, etc.)
 </li>
 <li>
 A highly analytical and systems-level mindset focused on using data to drive decisions and business outcomes
 </li>
 <li>
 Ability to clearly articulate insights to a non-technical audience
 </li>
 <li>
 Comfortable partnering with engineering to define business requirements for dataset and metric development
 </li>
 <li>
 Proficiency with Microsoft Office products (Excel, Powerpoint, etc.)
 </li>
 <li>
 Familiarity with core music industry domains (marketing, distribution, artist and label services, brand partnerships)
 
 
 </li>
 </ul>
 Bonus Points For
 
 
 <ul>
 <li>
 Experience with python, dbt, and analytics engineering concepts
 </li>
 <li>
 Direct music industry experience
 
 
 </li>
 </ul>
 Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa.
 
 
 
 Benefits &amp; Perks
 
 
 
 
 HEALTH
 
 : Medical, vision, dental and mental health benefits for you and your family with access to a health care concierge and Flexible or Health Savings Accounts (FSA or HSA)
 
 
 
 YOURSELF
 
 : Free concert tickets, generous paid time off including paid holidays, sick time and floating days
 
 
 
 CAREER
 
 : Career and skill development programs with School of Live
 
 
 
 WEALTH
 
 : 401(k) program with company match
 
 
 Note &ndash; Roc Nation benefits and policies differ from Live Nation.
 
 
 
 The Expected Compensation For This Position Is
 
 
 
 $68,000.00 USD - $85,000.00 USD
 
 
 <ul>
 <li>
 Pay is based on a number of factors including market location, qualifications, skills, and experience.
 
 
 </li>
 </ul>
 Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.
</div>

Data Analyst

Ventas, Inc.

<div>
 
 Job Description
 
 
 
 Ventas is a leading S&amp;P 500 company enabling exceptional environments that benefit a large and growing aging population. With an enterprise value exceeding $50 billion and a portfolio of more than 1,400 properties across North America and the United Kingdom, Ventas is a preeminent participant in the longevity economy. Its largest business is private-pay senior housing, which includes over 850 communities providing valuable care and services to more than 90,000 residents. The Ventas portfolio also includes outpatient medical buildings, research centers and healthcare facilities that attract strong institutional demand from the largest health systems, biomedical companies and universities and other research institutions in the world. Backed by strong financial performance and a collaborative culture, Ventas has the capital, capabilities and relationships to deliver superior value. The experienced Ventas team shares a commitment to each other and to the Company&rsquo;s mission of helping people live longer, healthier, happier lives.
 
 
 The Data Science team partners across Ventas to translate complex data into actionable insights that support investment, operational, and strategic decisions. Through advanced analytics and predictive modeling, the team helps uncover performance drivers, anticipate future outcomes, and enable stronger, data‑driven decision‑making across our Senior Housing portfolio.
 
 
 
 About The Role
 
 
 
 The Analyst, Data Science role offers a unique opportunity at an S&amp;P 500 company to apply analytical thinking and technical skills to drive core business outcomes for Ventas&rsquo; Senior Housing portfolio, with direct partnerships with finance, operations, portfolio management, and enterprise strategy. Key responsibilities include:
 
 
 <ul>
 <li>
 Explore, engineer, and derive analytical features from large, complex datasets to surface meaningful signals and drivers of business performance
 </li>
 <li>
 Perform diagnostic and exploratory analyses to identify correlations, patterns, and relationships across financial, operational, and portfolio‑level data
 </li>
 <li>
 Develop analytical frameworks to understand key business levers and quantify their impact on outcomes such as revenue, occupancy, rate, and mix
 </li>
 <li>
 Build and refine predictive models and scenario analyses to anticipate future performance and support proactive decision‑making
 </li>
 <li>
 Translate ambiguous business questions into well‑structured analytical problems and deliver clear, actionable insights to stakeholders
 </li>
 <li>
 Partner closely with teams across finance, operations, portfolio management, and strategy to align analytics with real‑world business decisions
 </li>
 <li>
 Communicate findings through compelling data visualizations, dashboards, and executive‑ready narratives that drive action
 </li>
 <li>
 Continuously evaluate data quality and model performance, recommending improvements to strengthen analytical rigor and reliability
 </li>
 <li>
 Contribute to the evolution of analytics best practices and serve as a thought partner to colleagues on analytical approaches and interpretation
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field. Master&rsquo;s degree preferred.
 </li>
 <li>
 2+ years of experience in a related analytical field (data analytics, data science, consulting, or similar), with demonstrated experience solving complex, ambiguous problems using data.
 </li>
 <li>
 Must be located in the New York City, NY surrounding area willing to relocate for the duration of employment.
 </li>
 <li>
 Willingness to adapt and thrive in a blended work environment with 3-days in office, seamlessly transitioning between remote work and in-office operations.
 </li>
 <li>
 Proficiency in SQL and Python required.
 </li>
 <li>
 Experience translating ambiguous business questions to analytical problems
 </li>
 <li>
 Strong analytical, problem‑solving, and communication skills with the ability to explain complex information clearly.
 </li>
 <li>
 Ability to manage multiple priorities in a fast‑paced, collaborative, and lean environment.
 </li>
 <li>
 Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
 
 
 </li>
 </ul>
 
 The estimated base salary range for this position is $80,000 &ndash; $105,000 per year. This range reflects a good-faith estimate of the base salary Ventas reasonably expects to pay at the time of posting. Actual base pay will be determined based on work location, skills, qualifications, relevant experience, and business needs.
 
 
 
 
 In addition to base salary, this role is eligible for discretionary incentive compensation and a comprehensive benefits package, which includes medical, dental, vision, retirement savings, paid time off, and other wellness benefits under applicable plan terms.
 
 
 
 Ventas, Inc. offers a competitive compensation and benefits package to the successful candidate.
 
 
 Ventas, Inc. is an Equal Opportunity Employer.
 
 
 Ventas, Inc. does not accept unsolicited resumes from staffing agencies, search firms or any third parties.
 
 
</div>

Analyst, Data Science

E-Solutions

<div>
 
 
 Job Details:
 
 
 
 
 
 
 
 Job Title: Data Scientist
 
 
 
 
 Location: New York, NY (Hybrid)
 
 
 
 
 Type : Full Time
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions.
 </li>
 <li>
 Design and build end to end machine learning solutions and statistical frameworks across fan behavior.
 </li>
 <li>
 Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning
 </li>
 <li>
 Lead recurring analytical programs with a focus on reproducibility and automation.
 </li>
 <li>
 Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products.
 </li>
 <li>
 Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making.
 </li>
 <li>
 Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions.
 </li>
 <li>
 Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact.
 </li>
 <li>
 Contribute to the continuous improvement of analytics processes and methodologies.
 </li>
 </ul>
 
 
 Core Skills (Required):
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
 </li>
 <li>
 
 
 2+ years
 
 
 of hands-on experience in a data science role with a track record of shipping models into production.
 </li>
 <li>
 Extremely proficient in SQL for robust data extraction and analysis.
 </li>
 <li>
 Strong programming skills in Python.
 </li>
 <li>
 Familiarity with Git and code/data version control.
 </li>
 <li>
 Solid statistical foundation
 </li>
 <li>
 Exposure to NLP techniques for processing unstructured survey data.
 </li>
 <li>
 Excellent communication, problem-solving, and critical thinking skills.
 </li>
 <li>
 Self-started and willingness to take on challenging initiatives
 </li>
 <li>
 Effective time management and attention to detail
 </li>
 <li>
 Familiarity with MLOps concepts
 </li>
 </ul>
 
 
</div>

Data Scientist

Attune

<div>
 
 Position Summary
 
 
 
 The Data Scientist is responsible for applying advanced analytics, statistical modeling, and machine learning techniques to support strategic decision-making across the organization. This role partners closely with stakeholders in Underwriting, Actuarial, Claims, Product, Revenue, and Customer Experience to translate business questions into analytical solutions that improve operational performance, risk evaluation, and customer outcomes.
 
 
 The Data Scientist develops predictive models, explores new data sources, and generates actionable insights that support pricing, underwriting, claims management, and operational efficiency. This role also contributes to the development and operationalization of models and analytics solutions by working with engineering and product teams to integrate insights into business tools, dashboards, and workflows.
 
 
 
 Essential Duties and Responsibilities
 
 
 
 <ul>
 <li>
 Partner with stakeholders across Underwriting, Actuarial, Claims, Product, and Revenue to identify opportunities where data can inform better business decisions.
 </li>
 <li>
 Translate business questions into analytical frameworks, hypotheses, and statistical approaches.
 </li>
 <li>
 Analyze customer, broker, and operational data to identify trends, anomalies, and opportunities to improve engagement, retention, and operational performance.
 </li>
 <li>
 Conduct exploratory data analysis to investigate business problems and generate actionable insights.
 </li>
 <li>
 Communicate analytical findings through visualizations, dashboards, and written summaries.
 </li>
 <li>
 Develop predictive models and statistical analyses to support pricing, underwriting, claims, reserving, and operational initiatives.
 </li>
 <li>
 Apply machine learning techniques including regression, classification, clustering, and other statistical learning methods to solve complex business problems.
 </li>
 <li>
 Evaluate model performance and continuously improve models based on new data and changing business needs.
 </li>
 <li>
 Explore internal and third-party data sources to enhance model performance and uncover new insights.
 </li>
 <li>
 Collaborate with engineering and product teams to deploy analytical models into production systems and operational workflows.
 </li>
 <li>
 Support the implementation of MLOps practices, including model versioning, deployment pipelines, monitoring, and lifecycle management.
 </li>
 <li>
 Monitor models for performance degradation, bias, or drift and implement improvements as needed.
 </li>
 <li>
 Document model assumptions, methodology, and validation processes to support transparency and governance.
 </li>
 <li>
 Contribute to the improvement of internal data infrastructure, ETL pipelines, and reporting architecture.
 </li>
 <li>
 Support the development and optimization of dashboards and analytics tools used by business teams.
 </li>
 <li>
 Ensure data quality, consistency, and reliability across analytical workflows.
 </li>
 <li>
 Identify opportunities to automate recurring analyses and reporting processes.
 </li>
 <li>
 Work closely with business stakeholders to ensure analytics solutions align with operational needs and strategic objectives.
 </li>
 <li>
 Partner with product and engineering teams to integrate analytical capabilities into internal platforms and decision tools.
 </li>
 <li>
 Provide analytical support for ad-hoc requests and strategic initiatives.
 </li>
 <li>
 Other duties as assigned.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor's degree in data science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field required.
 </li>
 <li>
 Advanced degree (MS or PhD) preferred.
 </li>
 <li>
 3 - 7 years of experience in data science, advanced analytics, or statistical modeling roles.
 </li>
 <li>
 Experience working with large datasets and complex analytical problems.
 
 
 </li>
 </ul>
 
 Knowledge, Skills, and Abilities
 
 
 
 <ul>
 <li>
 Strong programming skills in Python and SQL.
 </li>
 <li>
 Experience with statistical modeling and machine learning techniques.
 </li>
 <li>
 Experience with data visualization and analytical tools (e.g., Tableau, Power BI, Looker, or similar).
 </li>
 <li>
 Ability to translate complex analytical findings into clear business insights.
 </li>
 <li>
 Strong problem-solving and critical thinking skills.
 </li>
 <li>
 Ability to collaborate effectively with both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working with Property &amp; Casualty (P&amp;C) insurance data, including underwriting, claims, or pricing analytics.
 </li>
 <li>
 Familiarity with advanced statistical techniques such as Bayesian modeling or hierarchical models.
 </li>
 <li>
 Experience with MLOps frameworks, model deployment pipelines, and model monitoring tools.
 </li>
 <li>
 Experience working in cloud data environments (AWS, GCP, Azure).
 </li>
 <li>
 Familiarity with data engineering concepts, including ETL pipelines and data warehouse architectures.
 </li>
 <li>
 Experience conducting experiments or A/B testing to evaluate business initiatives.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 This position primarily operates in a professional office or remote environment and routinely uses standard office equipment such as computers and phones. The ability to remain stationary for extended periods and operate a computer is required.
 
 
 
 What We Offer:
 
 
 
 <ul>
 <li>
 Flexible PTO
 </li>
 <li>
 Generous parental and caregiver leave
 </li>
 <li>
 401K match
 </li>
 <li>
 Excellent medical, dental, and vision plans
 </li>
 <li>
 Remote-first culture
 </li>
 <li>
 Annual $1000 tuition reimbursement stipend
 </li>
 <li>
 And more!
 
 
 </li>
 </ul>
 The expected annual salary for this position is between $120,000 and $150,000, with the opportunity to earn an annual bonus of up to 15% of the base salary.
</div>

Doppel Farmaceutici

<div>Why Join Doppel
Doppel is built to outsmart one of the great threats AI presents: mass-manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Our mission is simple but bold: make the internet a safer place by outsmarting the world&rsquo;s fastest-evolving digital threats.
Backed by top-tier investors and trusted by some of the world&rsquo;s most recognized brands, Doppel is growing fast. If you&rsquo;re driven to solve real-world problems with bold technology, we&rsquo;d love to meet you.
What We're Building
We're building the AI-native social engineering defense platform.
This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.
What We're Looking For
We're hiring for a senior data scientist specifically focused on product analytics. We&rsquo;re looking for a customer-obsessed data scientist who wants to have outsized impact and ownership. This role will play a significant role in shaping our roadmap. You&rsquo;ll get the opportunity to join a rapidly growing company that&rsquo;s making the Internet a safer place every day. We're in-person in SF/NY 3 days a week.
We&rsquo;re Looking For Someone To<ul><li>
Define the right product and customer metrics to measure success and identify new areas of opportunity.</li><li>
Build scalable, self-serve dashboards to help cross-functional teams make data-driven decisions.</li><li>
Create analytical models to support our product, engineering, and operations teams.</li><li>
Develop forecasting models to estimate operational capacity over time, especially as we leverage AI to combat online threats.</li><li>
Communicate insights clearly to technical and non-technical teams.</li></ul>
Our Ideal Candidate Has<ul><li>
4+ years of experience in data analytics, data science, or a related field.</li><li>
Fluency in BigQuery/SQL and familiarity with data visualization tools like Looker Studio.</li><li>
Strong foundational understanding of statistical methods, forecasting, and/or experimentation.</li><li>
Experience working cross-functionally and collaborating with product, engineering, and non-technical partners.</li></ul>
While it&rsquo;s not required, it&rsquo;s a bonus to be familiar with a language like R or Python, especially if you have experience writing Jupyter notebooks.
If you&rsquo;re excited about the role but your past experience doesn&rsquo;t align perfectly with the above, we encourage you to apply anyway.
What We Offer
A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density
Free lunch and dinner in the office
Flexible PTO
Quarterly team offsites<h1 class="jobSectionHeader">
Join Doppel</h1>
Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 billion entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective.
We&rsquo;re not just another cybersecurity company. We&rsquo;re defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world&rsquo;s most recognized brands, Doppel is growing fast. If you&rsquo;re driven to solve real-world problems with bold technology, we&rsquo;d love to meet you.
Compensation Range: $135K - $350K</div>

Columbia University

<div><ul><li>Job Type: Officer of Administration</li>
<li>Bargaining Unit:</li>
<li>Regular/Temporary: Temporary</li>
<li>End Date if Temporary: 05/01/2027</li>
<li>Hours Per Week: 35</li>
<li>Standard Work Schedule:</li>
<li>Building:</li>
<li>Salary Range: $70,000 - $73,000</li>
</ul><div>The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.</div> 
<div></div>

Position Summary

The Department of Obstetrics &amp; Gynecology at Columbia University Irving Medical Center seeks a Temporary Data Analyst to support ongoing development of the genotype-phenotype repository. This position will assist with processing structured prenatal ultrasound data, generating standardized phenotype records, and supporting integration with genomic datasets for research purposes.

The Data Analyst will work closely with investigators and research staff to organize, standardize, and validate clinical and genomic data used in multi-institutional research collaborations. This role is focused on data preparation, quality control, and documentation to support genotype-phenotype research and federated data sharing initiatives.

This is a temporary position supporting an active research project.

Responsibilities

Data Processing &amp; Phenotype Standardization &ndash; 45%
<ul>
<li>Assist with extracting structured prenatal ultrasound data from system exports (JSON and HL7 formats).</li>
<li>Support mapping of clinical findings to standardized Human Phenotype Ontology (HPO) terms.</li>
<li>Generate phenopacket (v2 JSON) files using established workflows and templates.</li>
<li>Perform quality control checks to ensure accuracy and completeness of phenotype data.</li>
<li>Maintain clear documentation of data processing steps and data provenance.</li>
</ul>
Genotype-Phenotype Data Support &ndash; 25%
<ul>
<li>Assist with organizing and preparing phenotype data for integration with genomic datasets (e.g., WGS/WES data).</li>
<li>Conduct data cleaning, formatting, and validation to ensure consistency across datasets.</li>
<li>Support routine data queries and assist with basic data joins under supervision.</li>
</ul>
Federated Data Infrastructure Support &ndash; 15%
<ul>
<li>Assist with preparation and formatting of datasets for use in federated query systems.</li>
<li>Support coordination with collaborating institutions to ensure consistent data formatting and schema alignment.</li>
</ul>
Research &amp; Evaluation Support &ndash; 10%
<ul>
<li>Assist with preparing datasets for evaluation studies comparing automated and manual phenotyping methods.</li>
<li>Help prepare curated, de-identified datasets for approved AI/ML research activities.</li>
<li>Support preparation of summary reports or figures as needed.</li>
</ul>
Administrative &amp; Documentation Support &ndash; 5%
<ul>
<li>Maintain organized project files and version control records.</li>
<li>Contribute to technical documentation and standard operating procedures.</li>
<li>Participate in team meetings and provide updates on assigned tasks.</li>
<li>Perform other related duties and responsibilities as assigned/requested.</li>
</ul>
Minimum Qualifications
<ul>
<li>Bachelor&rsquo;s degree in Data Science, Computer Science, Bioinformatics, Public Health, Biology, or a related field; or equivalent combination of education and experience.</li>
<li>Experience working with structured datasets (e.g., CSV, JSON).</li>
<li>Basic programming experience in Python, R, or similar language.</li>
<li>Strong attention to detail and organizational skills.</li>
<li>Ability to follow established workflows and work collaboratively within a research team.</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience working with healthcare or clinical data.</li>
<li>Familiarity with ontologies such as HPO or other standardized clinical terminologies.</li>
<li>Basic understanding of genomic data (e.g., WES/WGS).</li>
<li>Experience with data cleaning, validation, and quality assurance processes.</li>
<li>Strong written and verbal communication skills.</li></ul> 


The Department of Obstetrics and Gynecology is dedicated to the goal of building a multicultural faculty and staff committed to teaching, working and serving in a diverse community, and strongly encourages applications from candidates of traditionally underrepresented backgrounds. 
 
We are continuously seeking to recruit individuals who will enhance the diversity of our workplace and the effectiveness of our organization.

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.</div>

DraftKings

<div><h2 class="jobSectionHeader">ABOUT DRAFTKINGS</h2>
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It&rsquo;s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We&rsquo;re not waiting for the future to arrive. We&rsquo;re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.<h3 class="jobSectionHeader">
THE CROWN IS YOURS</h3>
As a Lead Analyst on the Sportsbook Analytics team, you&rsquo;ll shape how data drives decisions across one of the most dynamic areas of the business. You&rsquo;ll turn complex datasets into clear, actionable insights that improve product performance, elevate the customer experience, and influence strategic direction. Working closely with Sportsbook Operations, Product, and Data Science, you&rsquo;ll embed experimentation and analytics into everyday decision-making. Your work will directly impact how we optimize Sportsbook content and scale smarter, data-informed strategies across the platform.<h3 class="jobSectionHeader">
WHAT YOU'LL DO AS LEAD ANALYST, SPORTSBOOK</h3><ul><li>
Design, execute, and measure A/B tests to evaluate sportsbook features, customer experiences, and operational strategies.</li><li>
Partner with Operations, Product, and Data Science to translate business goals into analytical frameworks, success metrics, and measurable outcomes.</li><li>
Analyze customer behavior, betting patterns, and product performance to uncover trends and inform strategic priorities.</li><li>
Collaborate with the Operations Team to shape and drive the Merchandising roadmap through data-backed insights.</li><li>
Build automated dashboards and tools that enable stakeholders to monitor performance and identify opportunities in real time.</li><li>
Deliver clear, compelling analyses, experiment readouts, and presentations that influence cross-functional decision-making.</li></ul><h3 class="jobSectionHeader">
WHAT YOU'LL BRING</h3><ul><li>
A Bachelor&rsquo;s Degree in Mathematics, Statistics, Computer Science, Economics, Business Analytics, or a related quantitative field; or equivalent experience.</li><li>
At least 5 years of experience in analytics, preferably within a technology, e-commerce, or digital product environment.</li><li>
Hands-on experience designing and evaluating A/B tests, with a strong understanding of experimentation principles.</li><li>
Advanced proficiency in SQL and experience building structured, analysis-ready datasets.</li><li>
Experience with data visualization tools such as Tableau, Power BI, or Looker, with the ability to create scalable dashboards.</li><li>
A proven ability to translate large, complex datasets into clear recommendations and communicate insights to cross-functional teams.</li></ul>
#LI-AS1
#AC2025<h3 class="jobSectionHeader">
JOIN OUR TEAM</h3>
We&rsquo;re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don&rsquo;t worry, we&rsquo;ll guide you through the process if this is relevant to your role.
The US base salary range for this full-time position is 121,000.00 USD - 151,300.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. 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 pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
<h2 class="jobSectionHeader">READY TO OWN WHAT'S NEXT?</h2>

We know finding a new job can be intimidating. Don't let imposter syndrome stop you from applying! Even if you don't think you tick off every box in this job description, we'd still love for you to apply or join our Talent Community.

DraftKings is proud to be an equal-opportunity employer. We do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.
JR13918</div>

LEAD ANALYST, SPORTSBOOK

Explore 692+ Data science analyst in New York this April. Find roles across top companies and apply now to boost your career.

692 data science analyst jobs In New York

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LEAD ANALYST, SPORTSBOOK