Data Scientist (Marketing Mix Model)

2 - 5 years

18 - 20 Lacs

Bengaluru / Bangalore Karnataka India

Posted:1 month ago| Platform: Foundit logo

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Skills Required

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On-site

Job Type

Full Time

Job Description

About The Company: Ara's client is a fast-growing analytics software company headquartered in New Jersey, with a development center in Bangalore. Focused on the healthcare industry, they build cutting-edge data science products that deliver powerful insights from big data, helping clients achieve their business goals and make a global impact. The Role: This role calls for strong knowledge of analytical techniques to support data-driven decision-making. The candidate will work on sales and marketing projects like campaign effectiveness, marketing mix modeling, attribution, segmentation, response modeling, and A/B testing. A solid understanding of business context and the ability to apply statistical and AI/ML methods effectively is essential. Skills Required: Strong Experience in Statistical Modeling (Marketing mix model). Hands-on experience with SQL, R or Python is mandatory. Experience working with pharma companies and pharma datasets is a must. Proficiency with Adobe Analytics, Google AdWords, Google Analytics, Google Data Studio or similar tools which capture and present campaign, web & app data Experience building reports, dashboards Experience with marketing automation tools and techniques including but not limited to audience development, configuration of journeys/workflows, campaign deployment and tracking Proficient in Microsoft Excel & PowerPoint. Ability to work with visualization tools e.g. Tableau, Power BI etc. will be considered good to have skill-set Experience working with pharma companies and pharma datasets is a must Qualifications & Experience: Data Scientist with approximately 2 to 4 years of experience, preferably in Pharma or Healthcare analytics. Hands-on experience of AI/ML techniques will be preferred Educational background in Engineering, Operations Research, Econometrics and/or Statistics

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