Sr Manager, Data Science

Key Skills

A/B Testing, Agile methodologies, AWS, Azure, Data Modeling, Data pipelines, Data science techniques, Database, Docker, ETL frameworks, Framework, Java Programming, Machine learning techniques, Management, Mathematics, NoSQL, NumPy, Pandas, Python Programming, Scala Programming, Scikit-learn, SciPy, SQL, Statistics

Job Description

We are looking for a Senior Manager of Data Science to join our Data & Intelligence team in the DMED Technology’s Content Platforms group.

This role will join a team of engineering and product managers to deliver the world’s most innovative, automated, and technologically advanced content supply chain through the integration of advanced and predictive analytics.

The Senior Manager of Data Scientist will develop a rich understanding of how content is created, managed, and distributed and how users interact with our content supply chain. The Senior Manager will define problems gathered from stakeholders, define experimentation setups, research data driven solutions to the problems identified, provide technical mentorship to the data science team and communicate results to stakeholders.

Responsibilities:

• Serve as a thought leader and mentor to the team. Encourage and set the example for collaboration across functions. Forge effective relationships with business partners and peers in other disciplines.
• Design and implement models and methodologies on variety of datasets to achieve operational excellence and personalization efforts for our product lineup.
• Deliver and manage data-driven business-changing capabilities that businesses and other Analytics & Data Science teams can leverage.
• Continuously drive toward efficiency by simplifying and automating where possible, eliminating redundancy across the organization, refining metrics, and building new reports as needed to support decision-making.
• Make strategic recommendations on data collection, integration and retention incorporating business requirements and knowledge of best practices.
• Assure quality and accuracy of deliverables through thorough interaction with business partners to understand and refine requirements and adherence to privacy, governance standards, and quantitative practices.

Become and stay an expert in current and emerging technologies and tools.

Basic Qualifications:

• 10+ years of experience leading teams and mentoring teammates
• 10+ years of business-facing experience that includes building relationships with new business partners
• Proven excellence in leading and contributing to Data Science projects in a commercial setting
• Strong communication and interpersonal skills
• Experience in delivering executive-level presentations
• Experience in leading discovery processes with stakeholders to identify business requirements and expected outcomes
• Capability to educate the organization both from the technical and business perspectives on new approaches, such as testing hypotheses and statistical validation of results
• Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness, and aptitude for original research
• Comfortable working in a team environment using Agile methodologies
• Expert level in online model development and testing applied to one or more of those fields: anomaly detection, data drift detection, time series forecasting, recommender systems.
• Strong working knowledge of statistical frameworks (Pandas, NumPy/SciPy, scikit-learn) (5+ years)
• Strong working knowledge of machine learning frameworks (PyTorch, TensorFlow) (3+ years)
• Mastery in at least one high-level programming language such as Python or Scala (7+ years)
• Expert level in advanced analytics and statistical modeling
• Expert level on experiment setup, A/B testing and results interpretation
• Experience monitoring the full life cycle of models
• Mastery in data augmentation techniques
• Mastery in SQL and experience with NoSQL databases
• Experience with Docker
• Experience with ETL pipelines
• Experience with distributed processing relevant technologies like Kafka and Hadoop

Preferred Qualifications:

• Experience with cloud platforms such as AWS, Google Cloud, Azure
• Experience in Supply Chain Management
• Experience working in Media

Required Education

• MS. degree in the fields of Economics, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields

Preferred Education

• PhD. in the fields of Economics, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields