Data Science Manager

Description:

Experienced Data Science Manager required (individual contributor) to lead the efforts in developing and implementing data-driven strategies that drive business growth and innovation. This role is a critical leadership position, blending hands-on technical expertise with strategic thinking and team leadership.

You will work with large datasets, build and refine data models, and collaborate with cross-functional teams to extract actionable insights and create scalable data solutions.

Key Responsibilities:

Develop and execute data science strategies to address business challenges and unlock new opportunities.

Lead, mentor, and inspire a team of data scientists and analysts, fostering a culture of innovation and continuous learning.

Analyze and work with large, complex datasets to extract meaningful insights and deliver impactful results.

Design, build, and optimize robust data models that support business decision-making and predictive analytics.

Collaborate with cross-functional teams, including engineering, product, marketing, and operations, to identify opportunities for leveraging data to drive solutions.

Translate complex analytical findings into clear, actionable insights for stakeholders.

Stay up-to-date with the latest advancements in data science, machine learning, and analytics technologies to ensure the team’s methods are cutting-edge.

Qualifications:

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

A minimum of 8 years of experience in a similar role, with a proven track record of developing and implementing data-driven strategies.

Expertise in working with large and complex datasets, leveraging tools like Python, R, SQL, or similar programming languages.

Strong data modeling skills, including predictive modeling, statistical analysis, and machine learning techniques.

Demonstrated ability to lead and collaborate with cross-functional teams.

Excellent problem-solving skills and the ability to work in a fast-paced environment.

Strong communication skills with the ability to present complex findings to both technical and non-technical audiences.

Experience in data visualization tools such as Tableau, Power BI, or similar is a plus.