Lead Data Scientist
5 months ago
Data Scientists work across the organization to help business and technical strategies by processing, analyzing, and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As a Technical Lead, you do more than just crunch the numbers. You work with Software Engineers, Product Teams, Sales Associates, and Marketing teams to adjust practices according to your findings. Identifying the problem is only half the job you also figure out the solution
- Responsibilities:
- Conduct end-to-end analyses, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
- Build and prototype analysis and ML model pipelines iteratively to provide insights at scale.
- Develop a comprehensive understanding data structures and metrics, advocating for changes in product development and sales activity.
- Make actionable business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analyses, forecasting, and optimization methods across customer segmentation, end-user behavioral modeling, and live A/B experiments.
- Manage and technically lead a data science team.
- Interact cross-functionally with a wide variety of leaders and teams, and work closely with Engineers and Product Managers to identify design opportunities and assess improvements.
**Requirements**:
- Doctorate's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
- 10 years of tech industry work experience as a statistician, bioinformatician, or data scientist.
- Experience in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
- 4 years of leadership experience, including people management.
- Applied experience with machine learning on large datasets.
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
- Ability to select the right statistical tools given a data analysis problem.
- Master's degree in a quantitative discipline (e.g., Statistics, Bioinformatics, Economics) or equivalent practical experience.
- 6 years of experience in data analysis or related fields as a Statistician, Data Scientist, Computational Biologist, or bioinformatician.
- 2 years of experience in people management or leadership.
- Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages.
- Strong communication skills with the ability to align the organization on complex technical decisions.
- Active coach and mentor whose goals are to grow and maximize the team’s potential.
- High energy and passionate individual who inspires teammates to reach their maximum potential.
- Excited about trying new solutions outside standard approval.
- Embraces a culture of trust, free thought complete transparency.
- Brave and rebellious, willing to challenge the status quo.
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