Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Principal Data Scientist to serve as a senior technical leader and individual contributor. The role focuses on solving complex data science problems through statistical modeling, machine learning, and data analysis, while driving data-informed decisions, mentoring team members, and influencing product and operational roadmaps.
Responsibilities
- Lead complex data science projects from conception to completion, working with large and diverse datasets
- Apply advanced statistical and machine learning techniques to build predictive models, conduct in-depth analyses, and generate actionable insights
- Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to identify and solve key business problems
- Mentor and provide technical guidance to other data scientists and analysts on the team
- Communicate complex findings and recommendations to both technical and non-technical audiences
- Stay current with the latest data science tools and techniques and champion their adoption within the organization
- Influence product and operational roadmap with actionable insights and active deployments
- Discover key drivers of the business in a team and as an individual contributor
- Develop measurement strategy for scoped areas - deploying best principles around experiment design and statistical analysis
- Build a strategic learning roadmap based on data observations, strategic imperatives and developed hypotheses
- Experience managing data pipelines
Skills
- Master's degree or equivalent in experience in a quantitative field such as a Computer Science, Statistics, Mathematics or a related discipline
- 8+ years of hands-on experience in data science, with a strong portfolio of completed projects
- Expertise in statistical modeling, machine learning, and data mining techniques
- Proficiency in programming languages such as Python or R, and experience with data science libraries and tools (e.g., Scikit-learn, Pandas, Spark)
- Strong problem-solving skills and the ability to think creatively and strategically
- Excellent communication and collaboration skills
- Proven track record of delivering at least two major data products that resulted in measurable business growth or cost savings
- Writing, Talking/Hearing on the phone (Continually=67-100% of workday)
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