Lead Data Scientist driving innovation in personalization and data insight generation for ESPN's streaming products. Providing technical leadership and overseeing data science projects in a collaborative environment.
About the role
- Senior Data Scientist developing machine learning solutions for business insights from unstructured data in a hybrid setting. Collaborating across teams for impactful data analytics and implementation.
Responsibilities
- Work with unstructured or semi-structured data (documents, reports, free text, etc.) to extract information, classify content and detect patterns.
- Design, develop and deploy machine learning models and LLM-based solutions for real business use cases (e.g., entity extraction, summarization, classification, risk analysis, workflow automation).
- Build end-to-end data and ML pipelines on scalable platforms (e.g., Databricks or equivalents), including ingestion, cleaning, feature engineering, modeling, validation, deployment and monitoring.
- Collaborate with business and technology teams to define problems, success metrics and measure impact.
- Ensure best practices for data quality, governance, privacy and responsible AI use.
- Communicate technical results clearly to non-technical audiences, linking analyses to business decisions.
Requirements
- Degree in quantitative or technology-related fields (Computer Science, Engineering, Statistics, Mathematics, Data Science or related).
- Practical experience in data science or machine learning with production projects.
- Experience with LLMs, including API usage, prompt engineering, result evaluation and pipeline integration.
- Proficiency in Python (pandas, numpy, scikit-learn, ML/LLM frameworks) and SQL.
- Experience with cloud data environments or distributed processing platforms (e.g., Databricks, Spark, Azure, GCP, AWS).
- Strong communication skills and the ability to translate analyses into business value.
- Experience with MLOps (deployment, monitoring, versioning, retraining) is a plus.
- Knowledge of explainability, algorithmic bias and model governance is a plus.
- Experience with sensitive data or regulated environments is a plus.
- Familiarity with visualization tools or modern data architecture is a plus.
Benefits
- 13 invoices issued per year
- Company-provided equipment
- 30 days of paid leave after 12 months
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Manager managing data analytics consulting projects at PwC. Collaborating on data - driven solutions and overseeing implementation while maintaining client relationships.
Principal Data Science Engineer at Qodea leading development of AI - driven reasoning tools and recommendation systems. Collaborating to bridge advanced analytics with practical implementation in Buenos Aires.
Lead Data Scientist at Target developing predictive and prescriptive algorithms for supply chain optimization. Collaborating across teams to foster data - driven decision - making while ensuring continuous innovation.
Data Scientist working with data analytics to drive efficiency improvements in the energy sector. Collaborate with teams to build and deploy models for actionable insights.
Senior Data Scientist at Betclic developing data products and user experiences in an innovative gaming environment. Collaborating across teams to drive data - driven decisions and product improvements.
Senior Data Science Engineer developing and maintaining machine learning models for fintech company. Collaborating with cross - functional teams to drive product improvements and user insights.
Senior Data Scientist in a Legal AI company focusing on ML operations analytics, collaborating with teams for effective legal outcomes.
Senior Manager of Data Analytics leading high - impact analytics projects for business strategy at Conduent. Overseeing teams to develop data models and present insights to leadership.
Team Lead for Data Science at PAIR Finance focusing on machine learning product development. Leading a team to innovate in debt collection with AI - driven insights.