Responsibilities

• Be the thought leader for data science, AI and ML across the organization’s highest-impact data initiatives.
• Provide leadership, guidance and mentoring to the data scientists and practitioners in our product and delivery teams.
• Define features, tooling and improvements to our products and processes.
• Be the visible face of the data science team to internal partners, external customers and prospects, and the data scientist community at large.
• Help grow our data science team for the future.
• Keep pulse of the latest development in AI/ML, big data, and the tools and products data scientists and businesses uses.

Role Specific Skills

• Strong problem-solving skills with an emphasis on product development
• Experience using scripting languages and tools (Python, R, etc.) to manipulate data and draw insights from large datasets
• Experience working with and creating data architectures
• Knowledge of a variety of machine learning techniques (clustering, decision tree, neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
• A drive to learn and master new technologies and techniques
• Familiar with the following software/tools/platforms:
  • Coding knowledge and experience with programing languages such as C#, C++, Java, JavaScript, etc.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using scripting languages: Python, SQL, etc.
  • Experience with cloud computing (ML) platforms (AWS, Azure, etc.)
  • Experience with distributed data/computing tools: MapReduce, Hadoop, Hive, Spark, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: Regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience with data visualization tools and presenting data to stakeholders

   Professional Skills

These are the professional skills we would expect from an individual fully established in this role.

• Customer Service - Proficient
• Verbal Communication - Advanced
• Written Communication - Advanced
• Teamwork - Advanced
• Relationships – Advanced
• Organizational Awareness - Proficient
• Learning Agility - Expert
• Analysis - Expert
• Problem Solving - Expert
• Process Orientation - Expert
• Prioritization - Advanced

People Management Skills

• Proficient in all people management processes, including recruitment, performance management and reward
• Proficient in building, growing and developing a team; including department structure design and resourcing
• Proficient in coaching and developing individual team members to reach their potential
• Proficient in engaging a team through communication, processes, personal impact and influence]

Qualifications

    Minimum Qualifications

• Bachelor’s degree required. Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field (Preferred)
• At least 8 years of experience in developing and applying advanced analytics and machine learning techniques to software product development and creating high-impact business analytics initiatives

  Other Relevant Qualifications

• Experience building production services, preferably as part of a product development team. A track record of implementing data-driven products is ideal