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Data Scientist

6 - 8 yrs
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Not Disclosed by Recruiter Posted 6 days ago Job Applicants: 44 Job Views: 158

Job Description

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    Job Description

    Job Summary :

    This position requires good familiarity with a broad range of quantitative/analytical techniques in order to help clients improve their business decisions. Candidate will work on projects in sales & marketing space such as multi-channel marketing effectiveness, sales force effectiveness, marketing mix analysis, segmentation, response modelling, design of experiments (test/control analysis) etc. Individual should possess aptitude to understand business context, and willingness to learn application of new statistical and AI/ML tools and techniques suitable for the project assigned.

    Functions and Responsibilities :

    Deliver projects in areas of Multi-Channel Marketing Effectiveness, Sales Force Effectiveness, Promotion Response Analysis, Channel Responsiveness, Prescriber Network Analysis, Design of Experiments, and Patient and Physician level data analytics
    Create insightful summary and deck to provide strategic recommendations to clients and other stakeholders.
    Manage day-to-day interactions with onsite team and clients business unit.
    Train and mentor junior members of the team.
    Explore and develop innovative methodologies which enhance efficacy of existing solutions to business problems.

Salary: Not Disclosed by Recruiter

Industry: Medical / Healthcare / Hospitals

Functional Area: Analytics & Business Intelligence

Role Category:Analytics & BI

Role:Data Analyst

Employment Type: Permanent Job, Full Time


Data Scientist Data sience Analytics Business Intelligence aitificial Intelligence ML techniques SAS R Python

Desired Candidate Profile

    Qualifications / Requirements :

    Data Scientist with approximately 6 to 8 years of experience 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 from top institutes.
    Hands-on experience with SAS or R is mandatory. Knowledge of Python will be valued too.
    Strong analytical aptitude and technical ability to explore and innovate.
    Must possess good interpersonal skills along with excellent presentation and communication skills
    Proficient in Microsoft Excel & PowerPoint. Ability to work with visualization tools e.g. Tableau, Spotfire etc. will be considered good to have skill-set.
    Ability to think out of the box, assess current processes and offer ideas for improvement.

    Qualification Graduate


UG: B.Tech/B.E. - Any Specialization, Any Graduate - Any Specialization, B.A - Statistics, B.Sc - Statistics

PG:Any Postgraduate - Any Specialization

Doctorate:Doctorate Not Required

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