Director/ Associate Director- Data Science (Pharma)

Opportunity to:

• Tackle complex data science challenges that drive significant business impact for clients.
• Demonstrate and guide technical leadership within a multidisciplinary team of ML engineers, data scientists, and application engineers.
• Collaborate with stakeholders to define and execute technical strategies across data, machine learning, applications, and insights.
• Thrive in an entrepreneurial environment with opportunities to shape your career path.
• Receive mentorship from industry veterans and experienced peers.
• Leverage deep domain expertise (e.g., healthcare, pharma) to support business growth, campaigns, and proposals.
• Champion best practices in analytics, data science, and machine learning.

Desired Skills & Experience:

• 10+ years of experience delivering data science solutions and services.
• Strong analytical skills with expertise in statistical analysis and machine learning algorithms.
• Ability to stay updated on AI/ML advancements and prototype innovative solutions.
• Strong problem-solving skills to engage with clients and structure discussions around unstructured challenges.
• Proven ability to translate business problems into analytical solutions with measurable outcomes.
• Thought leadership in data science, positioning yourself as a technical decision-maker.
• Track record of identifying new opportunities, expanding existing ones, and converting capabilities into revenue streams.
• Experience leading and mentoring teams across multiple clients and projects.
• Hands-on development expertise in Python, R, or Spark for building and reviewing advanced analytics models.
• Proficiency with cloud platforms (AWS, Azure, GCP) and big data systems (Hadoop, Snowflake).
• Bachelor’s degree or higher in Data Science, Data Analytics, or a related quantitative field.