Ref: DS /10/2018
The role holder will be responsible for designs, prototypes, and building the next-generation analytics engines and services with basic visualization ability.
Data Scientist Job Responsibilities
The Incumbent will report to the Digital Factory Manager or any other official as may be designated and will be responsible for:
- Evaluating the business problem and thinking of possible data sources and algorithms to develop a hypothesis.
- Thinking about the logic and math behind the code to generate insights from chaotic data
- Developing robust analytical models to address complex business problems and driving innovation.
- Conducting advanced statistical analysis to provide actionable insights , identifying trends and measuring performance
- Implementing data solutions through basic visualization tools
- Providing thought leadership by researching best practices, conducting experiments, and collaborating with business leaders
Qualifications for the Data Scientist Job
- MS/PhD in computer science, statistics, (applied) mathematics, physics or related technical discipline (eg. operations research, econometrics, etc.)
- Expert in working with large data sets, simulation/ optimization and predictive modeling
- Expert in SQL and R (or Python)
- Excellent written and verbal communication skills along with strong desire to work in cross functional teams
- Self-starting and entrepreneurial mindset– 7+ years’ experience in a data science role, preferably leading others, with deep knowledge of machine learning, statistics and optimization
- Experience with implementing full analytics pipeline (defining business problem, data engineering, feature construction, modeling and implementation)
- Experience with analytics project management tools (Git, Jira)
- Experience with distributed computing tools (Map/Reduce, Hadoop, etc.) is preferred
- Considerable experience with a wide range of tools such as SparkML, H2O, FlinkML, TensorFlow is preferred
- Experience in working with basic visualization tools such as Tableau and Qlik, etc.– Deep knowledge of machine learning, statistics, optimization or related field
- Experience with SQL and R/Python is required. Experience with programming in C, C++, Java is a valuable addition.
- Knowledge of computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
- Attitude to thrive in a fun, fast-paced start-up like environment with minimum guidance
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