KMK Consulting Company LLC
Senior Consultant/Consultant- Marketing Analytics
KMK Consulting Company LLC, Morris Plains, New Jersey, us, 07950
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.
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.