As a Data Scientist, you will be instrumental in shaping data-driven decision-making across the organization. You will work closely with product and engineering teams to develop analytical frameworks, statistical models, and simulations that optimize product performance and user experience. This role involves analyzing large-scale datasets, designing experiments, and uncovering actionable insights that directly influence strategy and growth. You will operate in a fast-paced, collaborative environment where your work has immediate and measurable impact. Strong technical expertise, strategic thinking, and effective communication are essential for driving meaningful outcomes.

Accountabilities

Develop and maintain analytical frameworks that guide the product roadmap and strategic decisions
Design rigorous experiments and interpret results to generate actionable insights for product improvements
Build statistical and machine learning models to analyze trends, forecast outcomes, and optimize product performance
Create simulations to assess the impact of potential product and policy changes
Democratize data by building dashboards and analytical tools to enable objective, company-wide decision-making
Collaborate with cross-functional teams to translate data insights into actionable business strategies
Perform additional related duties as assigned to support organizational goals

Requirements

4+ years of industry experience building and operating large-scale data pipelines and architectures
B.S. in Mathematics, Statistics, Computer Science, Computer Engineering, or a related field
Strong proficiency in PySpark and experience handling large datasets efficiently
Hands-on experience with Databricks, including building models, creating job pipelines, and managing platform interactions
Proven experience with clustering models and machine learning techniques for marketing or product use cases, such as forecasting, customer segmentation, and marketing mix modeling
Strong analytical and problem-solving skills, with the ability to uncover data quality or consistency issues
Excellent communication skills to present insights clearly across teams
Preferred: advanced understanding of statistical theory, scalable pipeline design, and prior experience in both startup and large software environments

Benefits

Competitive salary: $155,000 - $165,000 annually, based on experience
Fully remote position with flexible work hours (west coast schedule preferred)
Opportunity to work on high-impact projects that directly influence company growth
Collaborative and fast-paced work environment with emphasis on learning and experimentation
Exposure to cutting-edge AI and analytics tools
Inclusive and equal opportunity workplace, committed to employee growth and well-being

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 three 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!