VP Data Science & Machine Learning

In SRA News

Category : Analytics/Data Science
Location/City : CA – San Francisco
Salary Range : 0.00 – 0.00 per year (Permanent)
Id : 11149

The Vice President will oversee all Data Science and Machine Learning across the company.


 Oversee all Data Science & Machine Learning across the company, including data science to drive product innovation, customer success, marketing optimization, and more. 
 Oversee the Data Science roadmap based on the business priorities working with all divisions. Manage multiple projects in parallel and oversee their completion from start to finish, setting goals and project milestones.
 Build, grow, and manage a large, international team of data scientists, including experts in econometric modeling, machine learning, data mining, computer science, and Natural Language processing.  Aggressively acquire and train new talent to develop future managers and leaders. Maximize professional development, personal contribution, and performance of employees.
 Partner with Data Engineering leadership to design a world-class machine learning infrastructure and production environment.
 Champion a data-driven culture and drive long-term business value creation through development of best-in-class data science capabilities.
 The ideal candidate will develop and execute a strategy in addition to making hands on contributions from time to time as needed.  Apply statistics, clustering, modeling, and machine learning algorithms to complex business problems.
 Act as a thought leader in the industry. 
 Develop partnerships with academic leaders in data science, machine learning, and Natural Language Processing to ensure we are leveraging best-in-class techniques, algorithms, and technologies.


 PhD in Statistics, Data Science, Econometrics, Computer Science, Operations Research, or related quantitative degree is required.
 Must have a minimum of 12 years of industry experience.
 Exceptional people manager, mentor, and leader.  You will have a minimum of 5 years of experience managing a team of data scientists with high retention rates.  Previous experience managing geographically diverse teams spanning multiple continents and time zones is highly desired.
 Proven track record of overseeing multiple data science and machine learning projects at all stages, from idea generation to objectives formulation to implementation and deliverables.
 Proficiency in both Python and R.
 Minimum of 2 years of experience with Hadoop stack (HIVE, Pig, Hadoop streaming) and MapReduce.
 Excellent written and oral communication skills.
 Highly skilled at translating business requirements from key stakeholders into shovel-ready workplans.
 Excellent project management skills, with a proven track record of on-time and within-budget delivery.  Exceptional ability to manage priorities across multiple stake holders.

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