Data Science Manager

Data Science Manager

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• 8 years of work experience.
• The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field of study related to the job.
• Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.

Responsibilities

• Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution.
• Attract, retain and develop top talent to build an effective and high performing team.
• Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress.
• Ensure appropriate processes and job-specific requirements are properly documented.
• Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team.
• Manage resources effectively to align with strategic initiatives and business needs.
• Foster collaboration with team members to develop a supportive and engaged team.
• Support team in the design and development of algorithms and models to use against large datasets to create business insights.
• Drive team’s results and celebrate accomplishments.
• Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others.
• Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions.
• Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them.
• Serve as escalation point for any issues or difficulties with specific projects.
• Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts.
• Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team’s skills.
• Effectively develop trust and collaboration with internal customers and cross-functional teams.
• Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles.
• Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management.
• Seek further knowledge on key developments within data science, technical skill sets, and additional data sources.
• Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects.
• Ensure best practices and vision for data analysis and model productionalization are leveraged.

Preferred Qualifications

• 9+ years of experience in business intelligence and analytics
• Previous people or project team management experience
• Expertise in predictive modeling, data mining and data analysis
• Mastery running queries against data (preferably with Google BigQuery or SQL)
• Proficient with data visualization software (preferably Tableau)
• Mastery utilizing statistical techniques to identify key insights that help solve business problems
• Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
• Demonstrated proficiency in predictive modeling, data mining and data analysis
• Experience managing and growing team members in a professional setting