Job Overview

We are seeking an experienced and strategic Data Science Manager to lead our data science team and drive data-driven decision-making across the organization. The ideal candidate will oversee analytics initiatives, manage machine learning projects, and ensure that data solutions align with business objectives. You will guide a team of data professionals, translate complex data into strategic insights, and build scalable analytics frameworks that support organizational growth.

Key Responsibilities:

Lead, mentor, and manage a team of data scientists and analysts.

Define and execute the organization’s data science strategy and roadmap.

Oversee the development, validation, and deployment of machine learning models.

Collaborate with cross-functional teams to understand business challenges and deliver data-driven solutions.

Ensure data quality, governance, and best practices in analytics processes.

Communicate complex insights and recommendations to senior leadership and stakeholders.

Monitor project timelines, deliverables, and performance metrics.

Stay updated with the latest advancements in AI, machine learning, and analytics

Required Skills & Qualifications:

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

Strong expertise in Python, R, SQL, and machine learning techniques.

Experience leading and managing data science teams.

Deep understanding of statistical modeling, predictive analytics, and data engineering concepts.

Experience with data visualization tools such as Tableau, Power BI, or similar platforms.

Strong leadership, project management, and decision-making skills.

Excellent communication and stakeholder management abilities.

Preferred Skills:

Experience with deep learning frameworks such as TensorFlow or PyTorch.

Familiarity with cloud platforms like AWS, Azure, or GCP.

Knowledge of big data technologies such as Hadoop or Spark.

Experience working in agile project environments.

Benefits:

Competitive salary and performance-based incentives.

Flexible work environment.

Opportunities for leadership growth and advanced training.

Collaborative and innovation-driven work culture.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field

• 5+ years experience in data science

• 2+ years in team leadership role