Job Description

Job Title: Data Scientist Consultant – Omnichannel Marketing

Gurugram, India / SFO, US

About Us ProcDNA is a global consulting firm focused on establishing Commercial Analytics and Technology solutions for life science firms. We work side by side with our clients, partnering to achieve their goals. Our people bring in a strong blend of design thinking, the latest technology, and a client-centric approach to create a lasting impact. For a firm starting right at the onset of the pandemic, we had stellar growth in 2020-22. We grew from 2 to 80 people and are continuing with rapid but organic growth. Each one of us at ProcDNA (ProcDees) boasts about a healthy blend of learning, new opportunities, and growth which gives a feeling of swimming in the open waters rather than confining ourselves to a single lane. We invite you to join us and be part of our growth journey. What we are looking for A domain expert in the field of omnichannel data, data platforms, and integration. You will be responsible for developing an in-house tool to facilitate a coherent customer experience. What you’ll do:

• Lead our data science team members and guide them in implementing omnichannel solutions
• Lead additional initiatives to integrate publicly available data into our omnichannel offering
• Be the client PoC for data needs, infrastructure, and adoption and evaluation of the solution
• Develop and implement innovative solutions along with coaching, guiding, and mentoring junior team members on teams
• Assure compliance with all regulatory, security, and privacy requirements for client data
• Craft improvements, create prototypes for new features, and demonstrate them to improve the tool
• Have a Proactive and not Reactive approach to work when needed
• Build, and ideate internal offerings to help the company/team grow on aspects beyond project/client work

What you’ll need to have

• 5 years of experience in healthcare/pharma consulting
• 3+ years of experience in data science, analytics, or statistics.
• At least 2 years of hands-on experience in data engineering, AI/ML modeling (particularly with Neural Networks), prototyping and reporting. Preferred candidates with NBA (Next Best Action) experience.
• Experience with pharmaceutical datasets – Patient Level Claims (IQVIA, DRG, or SHS), Sales (XPO, DDD, chargebacks, vendor data), and publications
• Ability to collaborate, partner, and influence leadership and client business partners to drive analytical projects end-to-end
• Excellent organization and planning skills to lead medium-sized teams and manage large and complex datasets
• Strong verbal, written, and collaboration skills with the ability to articulate results and issues to internal and client teams.
• Proven ability to work creatively and analytically in a problem-solving environment with minimal direction.