Experience: 3+ years
Qualification: Master's degree in Computer Science,Statistics, Mathematics, or a relatedfield.
Work Timings: 2 PM to 11 PM IST
Position Requirement:
- Write clean and efficientcode in Python and/or R for data analysis, statistical modeling, and machine learning tasks.
- Apply statistical and machine learningtechniques to analyzelarge datasets and extract meaningful patterns, trends, and insights. Develop and implement predictive models for various business applications.
- Formulate hypothesis tests and designexperiments to validateassumptions, measure the impact of changes, and optimize decision-making processes.
- Demonstrate strong SQL skillsfor efficient data querying and manipulation using window functions.
- Workwith large datasetsand ensure data quality and accuracy.
- Experience with dashboarding toolslike Tableau is a plus to visualize and present data-driven insights to both technical and non-technical stakeholders.
- Ability to communicate complextechnical concepts and insights in a clearand concise mannerto both technical and non-technical audiences. Engage with the leadership team and clients to understand business requirements and provide data-driven solutions.
- Work with real worldcase studies in Data Scienceand a chance to implement various modelling techniques. Opportunity to independently executeand lead analytical projects and assignments.
- Help solve some challenging Healthcare related digital marketing problems globally. Transform business question into data requirements; collect and mergethe data; analysethe data, link it to the business reality and present the results
- Develop predictive models and machinelearning algorithms to study change in physicianprescribing behaviour as well as WebMDintegrated campaign responsebehaviour. Build analysisto understand user engagement and behaviours across various WebMD products.
Technical Skills needed:
- Experience with data manipulation in SQL environment is a must. Experience with BigQuery/Vertica data warehousing is good to have
- Experience with statistical and data manipulation tools such as Python or R is a must
- Need very good expertise in using Microsoft Excel, and Microsoft PowerPoint. Excellent presentation skills required
- Experience developing statistical models like hypothesis testing,regression models, classifications models, forecasting etc is a must
- Algorithm designing and implementation skills in R or Pythonis required
Requirements
- B.Tech/B.E. / MSc Statistics from premier institutes with
- Minimum 80% marks in 10th and 12th
- Minimum 75% marks in graduation
- 2-5years of relevantwork experience in analytics field
- Proven experience in data science, statistical modeling, and machinelearning applications.
- Strong proficiency in Pythonand/or R programming languages.
- Solidunderstanding of statistical concepts, hypothesis testing,and experimental design
- Expertise in SQL for data queryingand manipulation.
- Familiarity with dashboarding tools is a plus.
Excellent presentation, communication and
