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DATA SCIENTIST

Use your expertise in machine learning and predictive analytics to design, build, and deploy robust recommendation models. Your work will directly influence the company's decision-making and strategic direction.

LOCATION

Charlotte, NC

EMPLOYMENT TYPE

Permanent

What You’ll Do

  • You will craft data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, demonstrating knowledge and a broad understanding of E2E business processes and requirements.

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  • You will define the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership.

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  • You will identify and analyze new data analytic directions and their potential business impact to determine the accurate prioritization of data analytics activities based on business needs and analytics value.

  • You will identify data sources, supervises the data collection process and crafts the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality.

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  • You will construct data models (algorithms and formulas) for required business needs and predictions.

 

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

Who You are

  • 4 years’ experience in tasks related to data analytics

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  • You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour.

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  • You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds.

  • Strong expertise in machine learning, deep learning, statistical modeling, artificial intelligence and optimization techniques.
     

  • Hands-on experience working with large-scale data pipelines (KStreams, Delta Lake, Redshift, Athena) and cloud platforms (AWS, Azure).

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  • Ability to translate business problems into structured and scalable data science solutions.

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  • Hands on knowledge working with different databases (Postgres, MongoDB, HBase, Prometheus)

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