Director, Data Science

Rockstar is recruiting for a leading company that empowers businesses to gain deeper insights into their customers’ emotions and feedback. Our client partners with Fortune 500 companies to provide cutting-edge AI-powered analytics, enabling these brands to understand consumer sentiment and enhance their strategies. Their innovative platform has processed hundreds of millions of pieces of unstructured text, helping brands achieve faster and more actionable insights.

Our client is looking for a sharp, highly motivated Director of Data Science to join their team. This position will influence the organization by collaborating with executives, stakeholders, product teams, and engineering to help define the direction, priorities, processes, and best practices of the data science and analytics team. The ideal candidate will have a deep background in statistics, analysis, and experimental design, bringing those skills to bear both directly and by mentoring others. A strong understanding and hands-on ability with data science technology and infrastructure is essential. The ability to lead and collaborate with team members and stakeholders to produce business impact is vital to this role.

What You’ll Do

• Lead, manage, and inspire a team of data science engineers.
• Help drive a data-first culture where data is leveraged in decision-making.
• Hire, mentor, and grow a world-class data team.
• Understand business and technical requirements to set priorities.
• Communicate Data Team goals, priorities, timelines, and obstacles to execs and other stakeholders.
• Directly contribute to team goals with 50-75% hands-on involvement.
• Develop and codify processes and best practices for modeling, testing, and analytics.
• Collaborate with the team and CTO to define and direct the technical strategy for the data science ecosystem.
• Effectively balance short-term delivery with long-term direction and value.

Who You Are

• 5+ years of relevant data science and analytics experience.
• 3+ years of experience hiring and managing data scientists, analysts, and/or engineers.
• Strong leadership skills with the ability to identify the best ideas, socialize them, and rally the team around them.
• Demonstrated experience creating production ML pipelines (training, scoring, leveraging in real-time systems).
• Expert knowledge of modern machine learning algorithms (regression, classification, random forests, clustering, optimization, etc.) and statistical inference.
• Deep understanding of Data Warehousing principles and practices.
• Hands-on experience and expertise with Python Frameworks.
• Experience with the AWS data ecosystem and technologies.
• Excellent verbal and written communication skills.
• Strong people management, mentoring, and interpersonal skills.
• Ability to thrive in a fast-paced, entrepreneurial, high-energy environment.

Skills

ML, Gen AI, NLP, LLM Strategy:

• Develop and implement strategies for ML modeling, LLM development, and fine-tuning.
• Set best practices and standards to enhance AI/ML model deployment and monitoring efficiency.
• Create roadmaps for NLP, LLM, and Gen AI model development.

Model Design And Development:

• Design and develop custom ML, Gen AI, NLP, and LLM models.
• Work on batch and stream processing-based AI/ML pipelines.
• Handle data ingestion, preprocessing, and search and retrieval.
• Ensure end-to-end solutions meet technical and business requirements.

Collaboration And Leadership:

• Mentor junior team members.
• Contribute to the strategic direction of ML and data science efforts.

Benefits They Offer

• Tremendous opportunity for career growth.
• Strong culture and commitment to values.
• Flexibility via a fully distributed company (Work From Anywhere!).
• Generous health benefits.
• Unlimited paid vacation.
• Summer Fridays.
• Monthly (at a minimum) virtual team-building events.

The Client's Commitment

Our client is committed to making the world a more empathetic place, and they fill their ranks with people who want to do great work, care about making a difference, and regularly exemplify the company's shared values of:

• Openness, honesty, and transparency.
• Intellectual curiosity.
• High integrity and honor.
• Empathy and compassion.

They are also committed to creating a diverse and inclusive environment and are proud to be an equal opportunity employer. Applicants from populations underrepresented in tech are strongly encouraged to apply. All qualified candidates will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, familial status, sexual orientation, national origin, ability, age, or veteran status.