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Data Science Analyst Jobs in New York (NOW HIRING)

Data Science Analyst

Manhattan, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

We have an exciting opportunity to join our team as a Data Science Analyst/Engineer. In this role, the successful candidate Data Engineer / Data Scientist will work to build the data foundation for ...

Bachelor's degree in Statistics, Mathematics, Data Science, Data Analytics, Business Intelligence, Computer Science, Engineering, Information Systems, or a related field * 3 years of experience ...

New

Data Science and Analytics Experts Type: Contract Compensation: $60-$70/hour Location: Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling ...

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Showing results 1-20

Data Science Analyst information

See New York salary details

$37.2K

$90.4K

$148.8K

How much do data science analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science analyst in New York is $90,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,100.00 per year, depending on experience, location, and employer.

What is a data science analyst?

Data Science Analysts are professionals who collect, process, and analyze large sets of data to uncover trends, patterns, and insights that help organizations make informed decisions. They use statistical methods, programming languages like Python or R, and data visualization tools to interpret data. Their work often supports business strategy, product development, or operational improvements by turning complex data into actionable information.

What are the key skills and qualifications needed to thrive as a data science analyst, and why are they important?

To thrive as a Data Science Analyst, you need a solid background in statistics, data analysis, and programming—often supported by a degree in a quantitative field. Familiarity with tools and languages such as Python, R, SQL, and data visualization software, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is important. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help you stand out in this role. These skills enable effective data-driven decision-making and bridge the gap between technical analysis and business strategy.

What are some common challenges data science analysts face when working with cross-functional teams?

Data Science Analysts often collaborate with professionals from engineering, product, and business teams, which can present communication challenges due to varying levels of technical understanding. Translating complex analytical findings into actionable business insights requires strong communication skills and adaptability. Additionally, aligning data-driven recommendations with business objectives and timelines may require negotiation and flexibility to ensure project success.

What is the difference between Data Science Analyst vs Data Analyst?

AspectData Science AnalystData Analyst
Required SkillsStatistical analysis, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work EnvironmentData-driven projects, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Common IndustriesTech, finance, healthcare, e-commerce

Data Science Analysts focus on predictive modeling and advanced analytics using programming and machine learning, while Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential in data-driven organizations, but Data Science Analysts typically require stronger technical skills and work on more complex projects.

What cities in New York are hiring for Data Science Analyst jobs?

Cities in New York with the most Data Science Analyst job openings:

Infographic showing various Data Science Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

Data Science Analyst

Tatari

Manhattan, NY • On-site

$70K - $85K/yr

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.
We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality, scalable and automated solutions for a varied set of challenging data problems. Under the guidance of our Senior Data Scientists and Senior Data Science Analysts, you will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up, and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology teams to provide profound insights from your analysis, and optimize our business, with the ultimate goal of helping Tatari redefine the TV ad buying experience.
Responsibilities:
  • Automate data-driven tasks; design processes that require zero intervention
  • Work cross-functionally within the organization to deliver integrated business solutions
  • Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance
  • Use best-in-class tools like Databricks, and Tableau to empower insightful analysis for advertising partners

Qualifications:
  • Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required
  • 1-2 years of academic and/or professional experience in Data Manipulation Software (e.g., SQL, Python, Pandas)
  • Demonstrated abilities to manipulate, analyze, and interpret large amounts of data and to organize findings and translate them into actionable insights using original or innovative techniques
  • Extremely organized with great attention to detail
  • Excellent ability to analyze information and think systematically
  • Works well independently and as part of a team
  • Ability to handle databases and understand technology-driven business tools
  • A sense of curiosity and desire to learn!

Benefits:
  • Total compensation ($70,000 - $85,000)
  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • $150 monthly spending account
  • $1,000 annual continued education benefit
  • $500 Newbie Productivity Perk
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches at the office
  • Team building events
  • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
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