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10d 14h ago

Data Scientist

Polymarket·Data Scientist (AI/ML) · Finance
🏢On-site
|New York, United States of America
ab_tetingpythonsqlstatistics
13d 5h ago

Senior Data Scientist

Gradient AI·Data Scientist (AI/ML) · Insurance Technology
📡Fully Remote
$135k - $165k USD
awsazuredatabricksdeep_learning+7
13d 5h ago

Principal Data Scientist

Gradient AI·Data Scientist (AI/ML) · Insurance Technology
📡Fully Remote
$190k - $235k USD
deep_learningml_algorithmsmlopsnatural_language_processing+1
6d 8h ago

Data Scientist

ARRISE·Data Scientist (AI/ML) · iGaming
📡Fully Remote
awsazureci/cddocker+3
10d 19h ago

Data Scientist

Quora·Data Scientist (AI/ML) · Technology
📡Fully Remote
$122k - $173.1k USD
analyticsmodelingpythonr
13d 8h ago

Data Scientist

ARRISE·Data Scientist (AI/ML) · iGaming
📡Fully Remote
ci/cdcloud_servicescomputer_visiondeep_learning+4

Data Scientist

Polymarket | Data Scientist (AI/ML) | Finance
On-site
Full Time
United States of America, New York
Position:
Senior Data Scientist, Product

Company:
Polymarket

Location:
United States, New York

Employment type:
Full time

Work Arrangement:
On-site

Short Summary:
Polymarket is the world's largest prediction market platform, enabling individuals to express views on real-world events by trading on outcomes across various domains. The company is looking for a Data Scientist to support the product team by turning raw data into actionable insights.

Responsibilities:
- Define, build, and maintain dashboards to monitor product performance and surface anomalies.
- Quantify opportunities behind proposed work and help set measurable KRs based on data.
- Plan, instrument, and analyze A/B tests to measure feature impact and provide recommendations.
- Partner on data-driven projects like personalization and ranking, from approach to measurement.
- Produce clear readouts for product and leadership to influence decision-making.

Requirement:
- 4+ years in a data science or product analytics role, ideally with consumer products.
- Strong SQL and proficiency in Python (or R) for analysis and modeling.
- Expertise in designing A/B tests and applying causal-inference methods.
- Solid grounding in statistics and the ability to choose appropriate methods.
- Product sense to translate ambiguous questions into analyses and recommendations.
- Excellent communication skills to present data narratives to non-technical audiences.
- Comfort in a fast-moving, ambiguous environment with shifting priorities.
- (Plus) Experience with personalization, ranking, or pricing systems.
- (Plus) Familiarity with prediction markets, trading, or real-money marketplaces.
- (Plus) Track record of building experimentation practices.

Benefits:
- Competitive salary & equity
- Unlimited PTO
- Full Health, Vision, & Dental coverage
- 401k match
- Hardware setup: new MacBook Pro, big display, & accessories

Required Skills

ab_tetingpythonsqlstatistics

Required Languages

🇬🇧 English

Key competency: Data Scientist (AI/ML)
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