Jr Data Scientist

Role: Data Scientist

• Oversees and performs end-top-end data based research.

• Defines the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership (segments of the project/engagement).

• Analyzing the data and identifying data sources- Determining appropriate types of data analytics to be performed- Selecting and applying data analysis techniques to ensure that recommendations and predictions provide an adequate level of confidence based on defined coverage criteria- Designing repeatable, verifiable and traceable analytical models.

• Identifies and analyzes new data analytic directions and their potential business impact to determine the proper prioritization of data analytics activities based on business needs and analytics ROI.

• Ensures that data used in the data analysis activities are of the highest quality.

• Constructs data models (algorithms and formulas) for required business needs and predictions.

• Works closely with content experts and managers to pinpoint queries, map data, and validate results.

• Maintains and enhances the professional and business relationship with internal stakeholders.

• Facilitates presentations on how to use the data.

• Offers practical solutions to be used by the end decision makers.

• Presents results, including the preparation of patents and white papers and facilitating presentations during conferences.

• Effectively participates in and/or leads formal and informal reviews with stakeholders, applying knowledge and experience and providing insights from a professional perspective.

• Prepares results in such a way they will be convenient for use.

• Provides professional support for team members and keeps them informed of assignments/ project status.

• Explores and examines data from multiple sources.

• The Data Scientist sifts through all incoming data with the goal of discovering previously hidden insights, which, in turn, can provide a competitive advantage or address a pressing business problem.

• A Data Scientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, and then recommends ways to apply the data.

• Participates in technical designs of the wrapped product, which will run the model.

• Ensures that the model is properly used, that data inputs are supplied correctly and in a timely manner.

• Verifies that the correct data population is being processed.

• Ensures that that the output of the model is used correctly and that business objectives are being targeted.

• Masters in mathematics, statistics or computer science or related field

• 3 or more years of relevant quantitative and qualitative research and analytics experience Solid knowledge of statistical techniques.

• The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.

• Strong programming skills (such as Hadoop MapReduce, Spark, Scala, or other big data frameworks, Java), statistical modeling (like R).

• Strong communication and interpersonal skills Knowledge of telecommunications and of the subject area being investigated