(USA) Senior Manager II, Data Science - E2E

Key Skills

ETL frameworks, Python Programming, PyTorch, Scala Programming, Spark-SQL, TensorFlow

Job Description

What you'll do:

• Leverage generative AI to create insights and explain the task assignment and/or prioritization to end users.

• Influence cross functional teams on powering ML/AI solutions within the scope of associate work prioritization, productivity improvement, and retention strategies.

• Apply broad knowledge of ML/AI capabilities to identify growth areas, new and emerging opportunities.

• Conduct research by studying organization goals, strategies, practices, and user projects to recommend strategies by evaluating organization outcomes; identifying problems; evaluating trends; anticipating requirements.

• Partner closely with Data Science Management, Business Leaders, and ML engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.

• Execute full life cycle of projects through project planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners.

• Adhere to MLOps framework to create, build, and deploy data science algorithms continuously test and monitor drifts.

• Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with peers to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts.

What you'll bring:

• 2 year+ of supervisory experience leading teams of data scientists working on Applied ML/AI or Operations Research from conceptualization to productization and measurement of practical use cases.

• 5 years+ of experience in Applied ML familiar with core supervised and unsupervised algorithms.

• Skilled in Programming language (Python) and Large-scale training using data structures and algorithms.

• 2 years+ experience with Causal Inference frameworks, Bayesian Networks and Operations Research methods (Newsvendor problem, Travelling Salesman problem, Shortest Path models, etc.)

• Experience with cloud environments including Azure, Google Cloud, etc.

• Solid MLOps practices including good design documentation, unit testing, integration testing and source code control (git).

• Experienced with agile methodologies using project planning and tracking management tools e.g., JIRA.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Minimum Qualifications:

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.

Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.

Option 3: 8 years' experience in an analytics or related field

Preferred Qualifications:

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch) with 5 years+ of experience post graduate degree, and 2 years+ tech leadership experience.

Benefits & Perks: 

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.