- Candidate should have 7- 10 years of deep experience in building descriptive / predictive analytical solutions.
- Develop analytical strategies for business by leveraging the right analytical techniques and technologies
- Apply statistical and econometric models on large datasets to :
i) Measure results and outcomes,
ii) Identify causal impact and attribution,
iii) Predict future performance of users or products
- Design, analyze, and interpret the results of experiments
- Drive the collection of new data and the refinement of existing data sources
- Must be able to clearly understand and articulate a data science problem and work on it independently.
- Experience in implementing and optimizing various algorithms of big data analytics, machine learning, and statistical algorithms using computer languages such as SQL, R, Python, Machine Learning Studio, SAS, SPSS, Spark, Hadoop, F#, C/C++, C#, VB, Java, JavaScript, or HTML
- Extensive background in data mining and statistical analysis
- Able to understand various data structures and common methods in data transformation
- Excellent pattern recognition and predictive modeling skills
- Work closely with product and business teams to identify important questions and answer them with data
UG: Any Graduate - Any Specialization
PG: Any Postgraduate - Any Specialization
Doctorate: Doctorate Not Required
Keyskills: Algorithm Machine Learning Big Data Analytics Data Mining Data Structure Pattern Recognition Predictive Modeling Hadoop Python