Job Description

This position is posted by Jobgether on behalf of Crunchbase. We are currently looking for a Senior Data Scientist in United States.

This role provides the opportunity to transform raw data into actionable insights that directly influence product strategy and user experience. You will collaborate closely with product managers, engineers, and business stakeholders to deliver data-driven features and solutions that enhance user engagement and drive business outcomes. The position emphasizes hands-on machine learning, statistical modeling, and analytics while working in a collaborative, innovative, and remote-friendly environment. It is ideal for a motivated data scientist with a strong technical foundation, curiosity, and passion for turning complex datasets into meaningful business insights.

Accountabilities:

• Develop and deploy statistical and machine learning models to generate actionable insights for users and business stakeholders.
• Collaborate with product teams to align data science efforts with business objectives and user needs.
• Participate in all phases of feature development, from ideation through production, ensuring seamless integration of data-driven features.
• Gather, refine, and translate internal requirements into analytical solutions.
• Analyze user behavior and data patterns to inform product improvements and recommendations.
• Communicate complex data findings clearly to both technical and non-technical audiences.
• Stay current with advancements in data science, machine learning, and analytics to continuously improve models and methodologies.

• 4+ years of experience in data science with hands-on machine learning expertise.
• Proficiency in Python and familiarity with analytics or big data tools such as R, SQL, or similar.
• Strong understanding of product development and experience delivering impactful, data-driven features.
• Excellent communication and collaboration skills for working with cross-functional teams.
• Experience with recommendation systems, time series analysis, or predictive modeling is preferred.
• Strong analytical skills with a passion for identifying patterns and deriving insights from complex datasets.
• Proficient with tools such as Google Office Suite or equivalent software.
• Ability to thrive in a fast-paced, evolving, and remote-friendly environment.

• Competitive salary range: $170,000 – $190,000 USD.
• Equity in the form of stock options.
• Remote-first work environment.
• Generous reimbursement policy for learning and professional development.
• Monthly wellness stipend and internet allowance.
• Flexible Paid Time Off (PTO) and 22 holidays in 2025.
• 14 weeks of fully-paid life-event leave (e.g., welcoming a child or caregiving).
• Volunteering paid time off.
• Comprehensive medical, dental, and vision benefits for employees and their families.
• 401(k) and Roth plans with free annual financial advisor consultation.
• Work-from-home allowance for office equipment or furniture.
• Matching charity contributions for team awards.
• Collaborative, innovative team culture that values growth, learning, and diversity.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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