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Temporary Reddit Data Science Jobs in New York (NOW HIRING)

US-Mobile

Data Scientist (Cost Optimization)

Manhattan, NY · On-site

$140 - $190/hr

We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and ... This is decision science more than machine learning -- and business judgment matters as much as the ...

US Mobile

Data Scientist (Cost Optimization)

Manhattan, NY · On-site

$140 - $190/hr

We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and ... This is decision science more than machine learning -- and business judgment matters as much as the ...

US Mobile

Data Scientist (Cost Optimization)

New York, NY

$140K - $190K/yr

We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and ... This is decision science more than machine learning - and business judgment matters as much as the ...

US Mobile

Data Scientist (Cost Optimization)

New York, NY · On-site

$140K - $190K/yr

We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and ... This is decision science more than machine learning - and business judgment matters as much as the ...

AllSTEM Connections

Data Scientist

Manhattan, NY · On-site

$114K - $129K/yr

This is a "full-stack" data science role. You won't just build models in a notebook; you will ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

Publicis Groupe Holdings B.V

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

... Data Science practice. Qualifications We're looking for relevant academic, research or work ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Publicis Groupe Holdings B.V

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

... Data Science practice. Qualifications We're looking for relevant academic, research or work ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

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All JobsReddit Data Science JobsTemporary Reddit Data Science JobsTemporary Reddit Data Science Jobs in New York

Temporary Reddit Data Science information

What does a temporary Reddit data scientist do?

A Temporary Reddit Data Science role typically involves analyzing Reddit's user data, content trends, and platform activity for a fixed period of time. Data scientists in this role use statistical methods and machine learning to interpret large datasets, generate actionable insights, and support decision-making. They may work on projects such as user engagement analysis, recommendation algorithms, or community growth metrics. Since the position is temporary, it often focuses on specific short-term projects or needs within Reddit's data team.

What are the main challenges faced by a temporary Reddit data scientist, and how can they effectively contribute in a short-term role?

As a Temporary Reddit Data Science professional, one of the main challenges is quickly acclimating to Reddit’s unique data structures, fast-paced team dynamics, and ongoing projects. You will need to rapidly understand existing pipelines, tools, and business objectives to provide meaningful insights within a short timeframe. Effective collaboration with cross-functional teams—such as engineering, product, and community management—is crucial for success. Being proactive in asking questions and leveraging documentation will help you make impactful contributions despite the limited duration of the assignment.

What are the key skills and qualifications needed to thrive as a temporary Reddit data scientist, and why are they important?

To thrive as a Temporary Reddit Data Scientist, you need strong statistical analysis, programming skills (often in Python or R), and experience with data manipulation and visualization, typically supported by a relevant degree in data science, statistics, or a related field. Familiarity with tools such as SQL, Jupyter notebooks, machine learning frameworks, and Reddit's API is commonly required. Analytical thinking, curiosity, and effective communication are essential soft skills for interpreting data insights and collaborating with cross-functional teams. These skills enable data-driven decision-making and help optimize user engagement and platform features during a temporary assignment.

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

AspectTemporary Reddit Data ScienceTemporary Reddit Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's in Data Analysis, Statistics, or related fields
Work EnvironmentCollaborative teams, research-focused projects, tech companiesBusiness units, marketing teams, product teams
Employer & Industry UsageTech companies, social media platforms, research firmsMarketing agencies, e-commerce, social media platforms
Common Search & ComparisonOften compared for data-driven roles involving complex modelingCompared for roles focusing on data interpretation and reporting

Temporary Reddit Data Science roles typically involve advanced analytics, machine learning, and modeling tasks requiring higher technical expertise. In contrast, Temporary Reddit Data Analyst positions focus on data interpretation, reporting, and supporting decision-making processes. Both roles are essential in social media and tech industries but differ in technical depth and responsibilities.

What are the most commonly searched types of Reddit Data Science jobs in New York?

The most popular types of Reddit Data Science jobs in New York are:

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

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

Temporary Reddit Data Science jobs near you
Infographic showing various Temporary Reddit Data Science job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Data Scientist (Cost Optimization)

Manhattan, NY • On-site

US-Mobile
See more jobs at US-Mobileexternal

$140 - $190/hr

Other

Posted 9 days ago

Job description

US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls.


We’re getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It’s working — we’re The Wirecutter’s favorite cellular carrier, and Consumer Reports has named us the top-rated mobile carrier two years in a row.*


And we’re building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn’t for everyone. If you work fast, flexibly, and collaboratively — without compromising standards — we want to hear from you.


We’re looking for a **Data Scientist, Cost Optimization** to own the unit economics of our network costs. You’ll build the models and optimizations that decide the most cost-efficient configuration for every line on our networks, validate those models against real financial data, and turn your analysis into decisions the business acts on. This is decision science more than machine learning — and business judgment matters as much as the math.


Responsibilities:

  • Build and run the cost models and optimizations that determine the most efficient plan configuration across our subscriber base.

  • Validate cost models against carrier invoices and financial data; investigate and resolve discrepancies.

  • Monitor, forecast, and manage pooled usage and network spend, recommending corrective actions with quantified impact.

  • Model pricing and contract scenarios on actual usage data to support commercial decision-making.

  • Move recommendations into production through automated, auditable workflows, and verify outcomes.

  • Design, build, and maintain the underlying data models using dbt, Redshift, and related tools.

  • Use AI tooling to accelerate modeling, analysis, SQL/dbt work, and documentation.


Requirements:

  • 4+ years of experience in data science, decision science, operations research, pricing/optimization, or cost analytics — ideally where your recommendations carried real financial impact.

  • Hands‑on experience formulating and solving optimization problems (linear programming, cost modeling, marginal‑cost analysis, or similar) that informed real business decisions.

  • Strong business judgment, with experience owning a commercial or cost recommendation end‑to‑end.

  • Strong SQL skills, including experience with large datasets, complex transformations, and performance optimization.

  • Proficiency in Python.

  • Experience validating analytical models against external financial data (invoices, bills, or settlements).

  • Demonstrated use of AI in your day‑to‑day workflow — LLM‑assisted coding or prompt‑driven data exploration.

  • Strong communication skills, with a bias toward clear recommendations and measurable business impact.


Nice to Have:

  • Telecom, MVNO, or other usage‑based/wholesale cost domain experience; cloud cost management (FinOps).

  • Experience with dbt and a modern orchestrator (Dagster, Airflow, or similar).


Benefits and Perks:

  • Annual company offsite and hackathon in a global destination. Past locations include Dubai, Japan, and Hawaii, with New Zealand planned for 2027

  • Competitive Salary

  • Gym reimbursement

  • Commute reimbursement

  • Flexible working hours

  • Professional development stipend

  • Flexible time off

  • Cell phone service (up to $100/mo)


$140,000 - $190,000 a year


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