Director of Data Science

Our long-term client is adding a Director of Data Science to their team. This role will lead a team that designs and constructs automated progressive analytic solutions with the goal of advancing and developing the strategic goals of the enterprise. These deep-learning systems should utilize forward-thinking predictive models and machine learning to provide actionable insights and foresights in the areas of customer preferences, offerings, business efficiency and personalization.

Fully remote position – Direct hire – Salary + bonus / Benefits

***** No sponsorship or transfers currently available ****

**** Must have B2C experience ****

What you will be doing:

• Oversee and manage a Data Science group, including vendor partners, and use understanding of our guests, business processes, products and competitors to support organizational growth.
• Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications.
• Ensure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functions
• Guide the team in the development of new insights, advanced modelling techniques, and data science capabilities
• Share learnings and drive adoption of best demonstrated practices within the Data & Analytics Dept. about theoretical and technical developments in the rapidly evolving data science field, collaborate with the open-source community, and work together to create a great working environment that attracts other great data scientists
• Advise on the application of standards and methods and ensure compliance
• Take technical responsibility for all stages and/or iterations in a development project, providing method specific technical advice and guidance to project stakeholders.
• Understand, teach and supervise a wide range of data science techniques
• Document all processes and code. Maintain code repository accuracy.

What you bring to the table:

• Bachelor’s Degree in Statistics, Machine Learning, Mathematics, Computer Science, Physics, Economics, or any other related quantitative field
• Three (3) + years of experience managing data scientists
• Experience with Recommendation Engines, Generative AI, Personalization, and cloud technologies.
• Strategic Consulting experience, with a track record of leading and collaborating on strategic initiatives, a plus.
• Strong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from other disciplines
• Ability to collaborate with people at all levels and with multi-office/region teams
• Solid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.
• Experience with MLOps – scalable development to deployment of complex data science workflows
• Experience in machine learning frameworks and tools (e.g. scikit-learn, mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK, MLlib) required
• Proficiency in Python or R required
• Experience with model explain ability and interpretability techniques
• Demonstrated working knowledge of SQL
• Experience with cloud platforms required
• Experience in big data technologies such as Hadoop, BigQuery, S3, MapReduce, Apache Spark is required

**** Sorry, no sponsorship available****