Job Description
Associate Specialist Data Science
At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats.
Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to be a founder and serve in the role of Associate Specialist Data Science.
Primary Responsibilities
Conduct comprehensive analysis to measure marketing performance using advanced statistical techniques and marketing mix modelling and optimize promotional investment
Partnerwith cross-functional teams to gather and organize data from multiple sources, ensuring data accuracy and completeness. Use organization and industry information to identify trends, assess current business practices and results, and/or evaluate specific function/operation changes and anticipate their impact
Identify KPIs to evaluate marketing performance and provide actionable insights to optimize marketing strategies and budgets. Effectively articulate the business findings with stakeholders
Develop and maintain regular analytics deliverables and meet quality standards by following best practices, timeliness, compliance, and excellent user experience
Proactively build effective working relationships with those who have the knowledge, experience, resources or influence advance work goals. Have an agile mindset of continuous learning and focus on integrating enterprise value into team culture.
Collaborate with other members in team to create and present compelling, easy-to-understand data visualization and data driven insights for analytics leaders from the U.S. and Ex-US markets.
Education Requirements:
Master’s degree (relevant field like Economics, Statistics, Mathematics, Operational Research) with 0 to 2 years work experience
Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 2-4 years relevant experience
Work Experience in the Pharma industry will be preferred.
Skillset:
Candidates must have -
Strong programming skills in languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, statsmodels)
Proficiency in SQL for data extraction and manipulation from databases
Knowledge of statistical modelling techniques such as linear regression, logistic regression, decision trees, and clustering
Good understanding of MS Excel and PowerPoint
Strong problem solving, business analysis and quantitative skills
Ability to effectively communicate analysis insights to business stakeholders.
Exposure to agile framework & project management.
Candidates are desired but not mandatory to have -
Marketing Mix Model experience
Experience with real world data (e.g., claims, electronic health records)
Familiarity with both structured and unstructured data
Experience with data science principles and machine learning algorithms (supervised and unsupervised), test-control analysis, propensity score matching etc.
Understanding of other tools like Tableau, PowerBI, Dataiku etc
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Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
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Relocation:
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