Data Scientist Leader
hace 2 semanas
Epsilon is a global data, technology, and services company that powers the marketing and advertising ecosystem. We provide marketers from the world's leading brands the data, technology, and services they need to engage consumers with 1 View, 1 Vision, and 1 Voice.
We are looking for a seasoned professional to lead our data science team. As Head, Data Scientist, you will play a key role in transforming business requirements into scalable technical solutions within our Big Data ecosystem.
You will work cross-functionally with Technology and Customer Success Managers to address business needs and deliver high-quality results.
What You'll Achieve
- Mentor and manage a team of data scientists, data analysts, and analytics engineers.
- Stay up to date with latest developments in the field.
- Generate custom audiences, insights, and reports by leveraging multiple data sources.
- Design and develop processes that help monitor and maintain data quality.
- Collaborate with Customer Success and Technology teams to translate business needs into actionable technical deliverables.
- Propose analytical solutions based on business needs and understanding.
- Identify data sources relevant to business needs.
- Communicate findings and solutions effectively to both technical and non-technical audiences.
- Develop and implement Data Services processes that support scalable data-driven solutions.
- Build and optimize machine learning models to drive business insights and decision-making.
- Continuously explore and adopt new technologies to improve efficiency and innovation.
Who You Are
- 7+ years of experience with SQL and Python.
- 2+ years of experience working with AWS and PySpark.
- 3+ years of experience leading and mentoring teams of data scientists, analysts, or engineers.
- Experience in dashboard development (Metabase preferred).
- Proficiency in Data Science, including machine learning model training and spatial data transformation.
- Hands-on experience with geospatial data processing and analysis.
- Strong knowledge of Big Data technologies and frameworks.
- Experience with version control systems, particularly GitHub.
- Passion for learning new technologies and solving complex data challenges.
- Strong analytical and problem-solving skills.
- Proven ability to work cross-functionally with sales, technology, and customer success teams.
- Experience in presenting and communicating insights to executives and stakeholders.
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