Data Scientist - Statistical Modeling - Analytics Software Development Firm (1-4 yrs)

Data Scientist - Statistical modeling

About The Company:

Ara's Client a leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. They are headquartered in New Jersey and have a software development center in Bangalore. Their work is mainly focused on Healthcare Industry. They develop core data science products that help their clients draw unique insights from their big data and achieve their business goals.

The Role:

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

Key Responsibilities:

- Work closely with clients to identify opportunities to determine where to best allocate marketing spend to drive acquisition, growth, and profit.

- Analyze channel and partner performance, identify opportunities, highlight strengths, and provide recommended corrective actions.

- Evaluation of a broad range of customer data and secondary data sources to identify opportunities for targeting, segmentation, and personalization of marketing campaigns.

- Engineer KPIs and frameworks for measurement across digital marketing.

- Deliver projects in areas of Campaign Effectiveness, Conversion Rate Optimization, Promotion Response Analysis, Channel Responsiveness, Design of Experiments, and Patient & Physician level data analytics.

- Carry out exploratory data analysis, data extraction and transformation as prerequisite to any leading statistical work.

- Manage / help managing projects, which includes planning and execution, along with communication and resolution of issues associated with day-to-day interactions with the clients' business unit/onsite client contact.

- Assist project manager in creating insightful reports and deliverables that provide strategic recommendations to clients and other stakeholders based on model artefacts.

- Explore and develop innovative methodologies which enhance efficacy of existing solutions to business problems.

ISMS Responsibilities:

- Maintain function's information security policies by proactively involving in the activities where security is an agenda.

- Maintain the applicable information security control documents.

- Report security weaknesses and events or potential events or other security risks to the CISO/ISO teams.

- Will work with Crisis Coordinator to ensure that the information security controls are effectively used during the complete life cycle of BC/DR situations.

Skills Required:

- Must have experience in Statistical Modeling.

- 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.

- Hands-on experience with SQL, R or Python is mandatory.

- 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.

- Strong analytical aptitude and technical ability to explore and innovate.

- Ability to think out of the box, assess current processes and offer ideas for improvement.

- Must possess good interpersonal skills along with presentation and communication skills.

- Experience working with pharma companies and pharma datasets is a plus.

Qualifications & Experience:

- Data Scientist with approximately 1 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.