Head of Data Science (Pleasanton)
Key Responsibilities include, but are not limited to:
- Operate as the internal client's thought partner.
- Provide in-depth consultative analyses to senior business leaders.
- Conduct data mining, pattern recognition, and root cause analyses to identify untapped opportunities within business units.
- Develop business cases and recommendations for innovations addressing business opportunities.
- Create ROI models and provide build vs. buy recommendations.
- Present design, analysis, modeling choices, and recommendations to CXO-level audiences.
- Develop a roadmap to support business initiatives effectively.
- Collaborate with internal business partners to identify opportunities where machine learning can add value.
- Formulate an analytical, data-driven approach to solve business questions.
- Design technical solutions for decision systems and develop modeling algorithms for deployment.
- Manage, mentor, and develop the data science team.
- Challenge the team on advanced analytical concepts.
- Hire, train, retain, and evaluate data science and analytics professionals.
- Oversee employment, promotion, performance evaluation, training, motivation, mentoring, and discipline of team members.
- Manage other managers of data science or principal data scientists/engineers.
Note: AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer, inclusive of female, minority, disability, and veterans. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or other protected statuses. The company complies with applicable labor and employment laws and does not require U.S. citizenship or lawful permanent residency unless legally necessary.
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