As the Manager, Data Science within our Digital Analytics team, you will lead and manage analytic initiatives across multiple client accounts. You will oversee the development and delivery of strategic insights, leveraging advanced analytics and data science to drive decision-making and achieve client objectives. This role involves leading a team of Data Scientists, managing project deliverables, and ensuring high-quality results that align with client goals.
Key Responsibilities
Operational Leadership
- Lead and manage project plans for various types of analyses, guiding team members to deliver high-impact results.
- Assess client business challenges and data assets, recommending and implementing the most suitable analytic methodologies.
- Oversee multiple projects and client accounts, serving as the primary contact for both Epsilon account teams and clients.
- Monitor resources, track progress, and ensure projects are delivered on time and within budget.
- Document client communications, manage expectations, and negotiate deadlines as needed.
- Present analytic findings and statistical results to account teams and clients, clearly linking insights to business impact.
- Participate in project design and planning, providing pre-sales support and running proof of concept (POC) for sales teams.
- Conduct hands-on analysis of large datasets, utilizing first-party and third-party data to deliver statistically valid results.
- Design and implement machine learning models using Spark ML and Python/Pyspark, including customer segmentation, propensity models, and CLTV models.
- Create impactful data visualizations and presentations that effectively communicate findings and their relevance to client business objectives.
Team Management & Development
- Lead, mentor, and train a team of 10+ Data Scientists, ensuring alignment with the organization’s vision and roadmap.
- Provide thought leadership to refine and enhance existing processes and incorporate new methodologies.
- Foster team engagement and motivation, ensuring optimal utilization on billable projects.
- Guide the team in adhering to policies and procedures for programming, project documentation, and other organizational processes.
- Stay updated with the latest tools, technologies, and methodologies in data science to maintain cutting-edge capabilities.
- Collaborate with cross-functional internal teams to drive successful outcomes.
Qualifications
- Bachelor’s degree or higher in a quantitative discipline (e.g., Engineering, Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework.
- Minimum 10+ years of experience in analytics and data science, with a preference for marketing analytics experience.
- Proven experience in managing a team, including goal-setting, performance management, and feedback communication.
- Strong proficiency in Python, SQL, and Microsoft Office.
- Hands-on experience with machine learning techniques (e.g., Logistic Regression, Decision Trees, Random Forest, K-means Clustering) and distributed computing using PySpark.
- Experience with DataBricks and machine learning with Spark / MLlib.
- Excellent analytical thinking, attention to detail, and ability to interpret complex findings.
- Exceptional verbal and written communication skills with the ability to build relationships across cross-functional teams.
- Highly motivated, collaborative, and organized with strong project management skills.
- Passionate about understanding business problems, extracting insights from data, and presenting actionable results.
- Ability to create compelling data visualizations and presentations that effectively convey the value of analytic deliverables.
Why Join Us
At Epsilon, you will be part of a creative and innovative team that values insight-driven problem-solving. You’ll have the opportunity to lead impactful projects, mentor a talented team, and contribute to shaping the future of data science. If you are passionate about leveraging analytics to drive business success and thrive in a collaborative environment, apply today and be a part of our remarkable journey!