Senior Manager, Data Science

Job Description

We are looking for a highly skilled and experienced Senior Manager of Data Science to lead our team in developing and deploying innovative solutions in the Generative AI (GenAI) space. This role demands a strong engineering background, proficiency in traditional statistics, and expertise in various machine learning techniques.

Lead a high-performing team of 8-10 data scientists and machine learning engineers.

Foster a collaborative and innovative environment, ensuring tight deadlines are met and impactful projects are delivered.

Oversee the career progression and development of junior team members.

Utilize expertise in NLP, LLM, and traditional machine learning techniques within an agentic framework.

Scale and deploy data science prototypes, ensuring robust and efficient solutions.

Apply traditional statistical methods to enhance model accuracy and reliability.

Collaborate with the team to develop and execute a technology roadmap for GenAI and forecasting projects.

Engage with tough product and business stakeholders, effectively managing expectations and delivering impactful solutions.

Drive large-scale projects with significant business impact, coordinating efforts across data science, product management, ML engineering, and end-user teams.

Handle challenging stakeholders with professionalism and strategic insight.

Ensure alignment between technical solutions and business objectives, maintaining clear communication channels.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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Proven experience in managing large teams and delivering high-impact projects.

Strong background in engineering, with the ability to scale and deploy data science solutions.

Expertise in NLP, LLM, GenAI, and traditional machine learning techniques.

Proficiency in traditional statistics and their application in data science.

Excellent stakeholder management skills, with the ability to handle tough product and business stakeholders.

Strong leadership and team management skills, with a focus on career development for junior team members.