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Data Scientist (Product), Mid-Level (Remote)
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Data Scientist (Product), Mid-Level (Remote)
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Jobright.ai Data Scientist (Product), Mid-Level (Remote)
Join to apply for the
Data Scientist (Product), Mid-Level (Remote)
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Kalshi is defining a new category in prediction markets, allowing individuals to trade on the outcomes of various events. They are looking for an experienced Data Scientist to join their data team, where the role involves collaborating across teams to drive decision-making and growth through data analysis and modeling. Responsibilities: • Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions. • Build models and analytical frameworks to support product, marketing, platform, or finance initiatives. • Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously. • Own complex data projects end-to-end—from problem scoping to solution delivery. • Champion data quality, accessibility, and the democratization of data across the organization. • Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact. Qualifications: Required: • 4+ years of experience in Analytics, Data Science, or a related field. • Fluency in SQL and proficiency in a scripting language like Python or R. • Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark). • Strong foundation in statistical methods, experimentation, and/or forecasting. • A track record of working cross-functionally and communicating effectively with both technical and non-technical partners. • Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams. Preferred: • A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments. Company: Kalshi is an exchange app that allows people to trade on event outcomes. Founded in 2018, the company is headquartered in New York, New York, USA, with a team of 51-200 employees. The company is currently Growth Stage. Kalshi has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Product Management Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in
New York, United States . New York, NY $116,800.00-$175,200.00 3 days ago New York, NY $140,800.00-$211,200.00 3 days ago New York, United States $200,000.00-$250,000.00 3 days ago New York, NY $167,200.00-$200,000.00 2 days ago New York, United States $95.00-$100.00 5 days ago New York, NY $181,875.00-$200,645.00 5 days ago New York, NY $150,000.00-$200,000.00 2 weeks ago Machine Learning Scientist, NLP (All Levels)
New York, NY $200,000.00-$300,000.00 2 months ago New York, NY $150,000.00-$175,000.00 2 weeks ago New York, NY $140,000.00-$200,000.00 10 months ago New York, NY $150,000.00-$175,000.00 3 weeks ago New York, United States $110,000.00-$160,000.00 1 week ago New York, NY $180,000.00-$280,000.00 8 months ago Senior Data Scientist / ML Engineer with career ambitions (TC: 130-190k)
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Burlington, NY $110,000.00-$160,000.00 1 week ago New York, NY $160,000.00-$220,000.00 2 weeks ago New York, NY $160,000.00-$175,000.00 2 weeks ago Machine Learning Engineer (Remote), Entry Level
Data Scientist - Algorithmic Power Trading Advisor
New York, United States $131,000.00-$200,790.00 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Join to apply for the
Data Scientist (Product), Mid-Level (Remote)
role at
Jobright.ai Data Scientist (Product), Mid-Level (Remote)
Join to apply for the
Data Scientist (Product), Mid-Level (Remote)
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Kalshi is defining a new category in prediction markets, allowing individuals to trade on the outcomes of various events. They are looking for an experienced Data Scientist to join their data team, where the role involves collaborating across teams to drive decision-making and growth through data analysis and modeling. Responsibilities: • Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions. • Build models and analytical frameworks to support product, marketing, platform, or finance initiatives. • Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously. • Own complex data projects end-to-end—from problem scoping to solution delivery. • Champion data quality, accessibility, and the democratization of data across the organization. • Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact. Qualifications: Required: • 4+ years of experience in Analytics, Data Science, or a related field. • Fluency in SQL and proficiency in a scripting language like Python or R. • Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark). • Strong foundation in statistical methods, experimentation, and/or forecasting. • A track record of working cross-functionally and communicating effectively with both technical and non-technical partners. • Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams. Preferred: • A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments. Company: Kalshi is an exchange app that allows people to trade on event outcomes. Founded in 2018, the company is headquartered in New York, New York, USA, with a team of 51-200 employees. The company is currently Growth Stage. Kalshi has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Product Management Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in
New York, United States . New York, NY $116,800.00-$175,200.00 3 days ago New York, NY $140,800.00-$211,200.00 3 days ago New York, United States $200,000.00-$250,000.00 3 days ago New York, NY $167,200.00-$200,000.00 2 days ago New York, United States $95.00-$100.00 5 days ago New York, NY $181,875.00-$200,645.00 5 days ago New York, NY $150,000.00-$200,000.00 2 weeks ago Machine Learning Scientist, NLP (All Levels)
New York, NY $200,000.00-$300,000.00 2 months ago New York, NY $150,000.00-$175,000.00 2 weeks ago New York, NY $140,000.00-$200,000.00 10 months ago New York, NY $150,000.00-$175,000.00 3 weeks ago New York, United States $110,000.00-$160,000.00 1 week ago New York, NY $180,000.00-$280,000.00 8 months ago Senior Data Scientist / ML Engineer with career ambitions (TC: 130-190k)
Don't fit another role but want us to consider you? Apply here...
Burlington, NY $110,000.00-$160,000.00 1 week ago New York, NY $160,000.00-$220,000.00 2 weeks ago New York, NY $160,000.00-$175,000.00 2 weeks ago Machine Learning Engineer (Remote), Entry Level
Data Scientist - Algorithmic Power Trading Advisor
New York, United States $131,000.00-$200,790.00 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr