Senior Consultant Marketing Analytics Closed

Job Description

Company Overview

KMK is a leading global data analytics and technology consulting firm, dedicated to empowering leaders in the Life Sciences sector with data-driven insights for improved decision-making. Our cutting-edge data analytics and software platforms cater to diverse needs, including data science, commercial operations, real-world evidence, and cloud information management. We enhance business strategies and operations through advanced analytics, extensive data sources, and deep technical and domain expertise. Our SalesOps™ platform drives commercial excellence by providing analytical guidance for sales planning and operations. We excel in data management using the latest cloud technologies and big data innovations.

With over 220 employees worldwide and a rapidly growing client base that includes several top 10 global Life Sciences companies, KMK offers high-touch on-site and onshore services supported by a global delivery platform.

Job Title: Consultant / Senior Consultant –Marketing Analytics

Location: Morris Plains, NJ (Hybrid)/ Remote

About the Role:

We are seeking a highly skilled Consultant / Senior Consultant with strong expertise in Data Science and Marketing Analytics. This role requires proven hands-on experience in building predictive models, working with oncology-specific pharmaceutical digital data, and delivering actionable insights that support strategic decision-making for multiple drug portfolios.

Key Responsibilities:

• Lead and deliver data science projects focused on oncology brands and therapeutic areas.
• Design, develop, and implement regression and predictive models to address complex business challenges.
• Work with oncology-specific pharma digital datasets across multiple drugs.
• Build models end-to-end (from data preparation through deployment) using advanced tools.
• Partner with clients and internal stakeholders to translate oncology business needs into actionable insights.
• Mentor junior team members and promote best practices in analytics and modeling.

Requirements:

• Strong background in Data Science with hands-on expertise in regression modeling.
• Oncology experience is mandatory with prior exposure to pharma digital data.
• Ability to manage analytics across multiple oncology drug portfolios.
• Strong client-facing and communication skills to influence stakeholders.

Technical Skills:

• Proficiency in SQL, Python, and Databricks.
• Ability to build models end-to-end from scratch (preferred tools: R, Python, Databricks).
• Knowledge of advanced statistical and machine learning techniques.

Preferred Qualifications:

• Master’s or PhD in Data Science, Statistics, Computer Science, or a related field.
• 3–7 years of experience in data science/analytics roles, with a strong focus on Marketing Analytics & Promo-mix modeling.
• Prior consulting or client-facing experience is a plus.