Senior Analyst – Data Science

COMPANY DESCRIPTION: Strategic Research Insights LLP. is a boutique healthcare consulting firm, specializing in global market research and analytics. SRI is a young, dynamic company with a rapid growth rate. We have our headquarters situated at Princeton, New Jersey, USA. We have our four business units situated at Florida in the USA and Chennai, Hyderabad, Tirunelveli in India. - Focus on delivering action-oriented insights through custom quantitative market research - Concentration in pharma / biotech / healthcare industry - Work with experienced professionals with advanced degrees in marketing / market research / operations research / statistics - Conduct research in over 50 countries with physicians, patients, payers, and more POSITION SUMMARY: Candidates would support our internal teams and clients in driving strategic decisions, applying advanced statistical & predictive analytics and machine learning concepts to solve business problems in pharmaceutical domain Required Skills and Qualifications: - Full time Degree in Computer Science or Computer Applications from reputed institutions, B.E./B.Tech., MBA specialized in Marketing, Operations Research, Data Science and/or Business Analytics - Senior analyst: 2-4 year of experience needed - Practical modeling experience specifically around quantitative and analytical skills and/or Natural Language Processing (NLP) using LLMs is required - Knowledge of solution design, planning, and execution - People management skills and experience, and familiarity with the pharmaceutical industry are preferred. - Hands on experience in one or more of the skillsets below is desirable: - Programming Language: Base SAS, Advanced SAS - Tools: Snowflake, Dataiku, Azure ML Studio, Power BI etc. - Visualization Tool: Power BI, Tableau, MS Excel, think-cell, Qlik Sense - Automation Tool: VBA Macro, Python scripts Essential Duties and Responsibilities: - Application of advanced statistical & predictive analytics and machine learning models to solve business problems - Ability to communicate complex statistical concepts to non-experts - Guide the team in using state-of-the-art data science technologies to improve efficiency and productivity - Communicate and collaborate with other team members/team lead to prepare analysis plans on different engagements - Plan and analyze different pharma data sets and create management consulting reports - Hands on experience in developing production grade ML models - Proficiency in Python to work with data files to create different kinds of charts, roll-up summaries, different aggregations and perform various analyses - Analyze data for patterns or trends to determine factors that influence outcomes - Working experience in Hive and HUE to store data and provide retrieval capabilities as needed, using queries and/or stored procedures is desirable - Convert insights to visual graphics like charts, graphs, and tables - Maintain extremely high standards of quality in all deliverables - Perform both as an Individual Contributor and as a team coordinator - Plan and allocate work to team members, monitor and track to closure - Review and perform quality control of the team member’s deliverables - Develop, update, and implement standard operating procedures for data analysis to maintain quality What we offer - Competitive compensation packages that reward high performance - Fast track career with supportive culture that facilitates 360 degrees learning - Collaborative team-based environment with mentorship from the industry leaders - Comprehensive Health Insurance package Note: Depending on the specific role, some of the requirements may not apply