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Data Science Assistant Jobs in New York (NOW HIRING)

Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations * To advise and influence decision making ...

Leverage GenAI/Data Assist tools to accelerate data science workflows. * Collaborate with stakeholders to align models with business outcomes. * Build and refine machine learning models under ...

VP Data Science As the VP of Data Science, you'll play a critical role in building a data-driven ... assist with data-related technical issues and support their data infrastructure needs. ยท Manage ...

Data Scientist, Product

Manhattan, NY ยท On-site

$179 - $210/hr

... * Assist with established methods, standard approaches, and promote a data-informed culture within the organization. Requirements * Proven expertise in data science, with a strong background in ...

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Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a data science assistant?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in New York? The most popular types of Data Science jobs in New York are:
What are popular job titles related to Data Science Assistant jobs in New York? For Data Science Assistant jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in New York look for? The top searched job categories for Data Science Assistant jobs in New York are:
What cities in New York are hiring for Data Science Assistant jobs? Cities in New York with the most Data Science Assistant job openings:
Infographic showing various Data Science Assistant job openings in New York as of August 2026, with employment types broken down into 6% Internship, 79% Full Time, 9% Part Time, 3% Temporary, and 3% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Sr. Data Scientist - Marketing Science & Offerings

Socket.dev

Manhattan, NY โ€ข On-site

$90 - $132/hr

Other

Medical, Retirement, PTO

Posted 3 days ago

New


Job description

Sr. Data Scientist - Marketing Science & Offerings

Ovative Group | Posted Mar 9 | Full-time | New York | Unknown

About Ovative Group

Ovative Group is an independent, fullโ€‘funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself.

At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech platform, EMRge helps businesses transform marketing into a driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement, EMRge is the first MarTech platform to measure businesses holistically. We're all about raising the bar every day, and it shows. Our work has been recognized by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine Land.

About The Role

As the Senior Data Scientist, you will play a key role in:

  • Developing advanced marketing measurement capabilities that unlock our company vision to transform the measure of marketing success.
  • Partnering with driven, solutionโ€‘minded experts, business leaders, analysts, and scientists at Ovative in engaging with clients, and defining approaches and road maps for solutions to client problems.
  • Technical mentoring of junior data scientists, guiding their algorithmic, testing methodological approaches, and reviewing their code.
  • Working with technology leaders, product owners and engineers to convert novel solutions developed to scalable new services and product offerings at Ovative.
  • Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization.
Responsibilities of a Sr. Data Scientist
  • Lead technical contributor in a high-performance data science & advanced analytics team, responsible for your teamโ€™s productivity, operational excellence, and business impact.
  • Drive value across multiple business verticals by leading the technical development and deployment of impactful and interpretable models.
  • Partner closely with Engineering and Product Management to scale your teamโ€™s innovative measurement solutions into product and service offerings.
  • Provide mentoring, training, and other opportunities for effective technical development of data scientists.
  • Assist with technical parts of business development as needed, including RFP response, sales and conference presentations using AI assistance where applicable.
  • Build strong relationships across the organization to understand internal stakeholder needs for trusted data science support.
Requirements
  • 5+ years of handsโ€‘on experience in data science, analytics, or a related quantitative field, with a strong track record of delivering business value through technical innovation.
  • Proven success as a technical contributor in high-performing data science teams, preferably within productโ€‘centric or consulting environments.
  • Very Important: Ability to quickly learn and execute.
  • Expertise in advanced statistical modeling and machine learning, with handsโ€‘on experience preferred in techniques such as:
  • Media Mix Modeling (MMM)
  • Incrementality Testing / Causal Inference
  • Attribution Modeling
  • Customer Analytics: Lifetime Value (CLV) Modeling, Segmentation
  • Generative AI Data Science
  • Proficiency in the following preferred programming and data environments:
  • Languages: SQL, and/or R or Python.
  • Tools: Git, Docker, MLOps, POSIT IDEs, cloud notebooks, Frameworks like Shiny, Streamlit, etc.
  • Data platforms: BigQuery, Databricks.
  • Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure), MLOps pipelines, and containerization is a plus.
  • Experience with Bayesian/Probabilistic modeling frameworks (e.g., PyMC, Stan) is a plus.
  • Strong business acumen, especially within digital and traditional marketing domains; ability to translate data insights into clear strategic recommendations.
  • Excellent communicator: able to lead conversations with technical and non-technical stakeholders, including senior client partners and internal executives.
  • Demonstrated leadership and mentorship skills; able to think independently, guide junior team members and influence crossโ€‘functional teams.
  • Bonus: Familiarity with Generative AI applications in marketing analytics (e.g., using LLMs for data summarization, content tagging, or creative testing insights).
Pay Transparency

For our Sr. Data Scientist positions, our compensation ranges from $90,000 to $132,000, which is inclusive of a 20% bonus.

Benefits Of Working At Ovative Group

We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work.

Culture

Culture matters and weโ€™ve been recognized as a Top Workplace for ten years running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. Weโ€™re open in communication and floor plan. Weโ€™re flat โ€“ our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential.

Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitmentโ€”for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families.

Compensation and Insurance

We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix.

Weโ€™re rewarded fairly and when the company performs well, we all benefit.

Tangible amenities we enjoy
  • Access to all office spaces in MSP, NYC, and CHI.
  • Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams.
  • Generous paid vacation policy.
  • 401k match program.
  • Topโ€‘notch health insurance options, inclusive of same sex partners.
  • Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs.
  • Monthly stipend for your mobile phone and data plan.
  • Sabbatical program.
  • Charitable giving via our time and a financial match program.
  • Shenaniganโ€™s Day.

Working at Ovative wonโ€™t be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, itโ€™ll be the most rewarding job youโ€™ll ever have. If you think you can make us better, we want to hear from you!

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