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Opening for Data Scientist=======No H1B or CPT ===Need Local to NC at Cary, North Carolina, USA
Email: [email protected]
From:

Nitu,

RCI

[email protected]

Reply to:   [email protected]

Title: Data Scientist

Location: Cary , NC(hybrid T & W onsite)

Duration : 12+ Month

Interview Process/Times:

Zoom 30 min (camera on, 1 screen only for candidate, no earbuds, must be alone)
1.5hr F2F on-sight

SUMMARY/OBJECTIVE:

Responsible for modeling complex business problems, discovering business insights and identifying opportunities using machine learning, statistical, algorithmic, data mining, and visualization techniques. In addition to advanced data analytics skills, this role is also proficient at integrating and preparing large, varied datasets, and communicating results and recommendations based on the model/analysis to both technical and non-technical audiences.

EDUCATION, EXPERIENCE, CERTIFICATION/TRAINING:

Strong technical background with programming, mathematics, and statistics experience

Bachelors degree in quantitative field (e.g., applied mathematics, statistics, physics, computer science, operations research, business, economics) with relevant practical experience

OR

5+ years of relevant work experience in a professional environment

Advanced degree in quantitative field preferred

JOB ACCOUNTABILITY/RESPONSIBILITIES:

Essential Functions :

Conduct analytical research and develop prototypes (50%):

Including but not limited to:

          Predictive modeling of ETAs

          Optimization and Predictive Failure modeling of Rail Car Assets

          Fleet Utilization for Railroads and Equipment Owners

          Interchange and Railyard traffic predictions

          Data quality evaluations to support Products

          Data Science prototypes including supporting scorecards and reports

          Data enrichment to support solutions and prototypes

Deliver analytical projects (40%):

Deliver analytical projects by:

          Working with project managers to define, schedule, and deliver results to all customers and internal

        stakeholders while managing reasonable expectations

          Collaborating with IT to deploy prototypes appropriately

          Creating and documenting repeatable solutions for meeting ongoing customer needs

          Communicating the results and methodology to internal and external stakeholders

Gather, interpret and translate customer needs into business problems that can be solved with analysis requirements (40%):

          Working with business stakeholders and/or facilitate data analysis opportunity discussions

          Working with business stakeholders to determine solution analysis, definition, and requirements gathering

        for data services

Provide analytical expertise to short-term and ad hoc requests and contribute to collaborative data analyses (20%):

          Ad-hoc requests from AAR, internal and external senior management, committee chairs, etc.

General:

          Collaborate with other data scientists to drive data analysis methodology, repeatable and structured

          Exercise judgment within generally defined practices and policies in selecting methods and techniques for 

        obtaining solutions

          Work with manager to finalize priority and deadlines, and adjust & communicate as necessary

Key Measures:

          Customer feedback and delivery against commitments

Non-Essential Functions:

          Support and improve internal decision making

          Develop measurement dashboards

          Conduct and report industry trend and market analysis to meet industry needs

          Performs other duties as assigned

KNOWLEDGE, SKILLS, ABILITIES/MINIMUM REQUIREMENTS/COMPETENCIES:

Strong analytical skills with working knowledge of basic statistical, predictive and optimization models

Strong knowledge of Python or other statistical tool language (SAS, R, etc.)

Strong problem-solving skills

Strong data preparation skills; be able to access, transform and manipulate Railinc and external customer data in its base form (e.g. Postgres, Snowflake, JSON).

Strong knowledge of data visualization tools (e.g., matplotlib, SHAP, Quicksight) to present models and results to internal and external stakeholders

Strong verbal and written communication skills

Knowledge of machine learning models a plus

Knowledge of big data engineering toolsets a plus

Ability to work effectively with clients, IT management, business management, project managers, and IT staff

Ability to manage multiple activities in a deadline-oriented environment; highly organized and flexible

Ability to work independently and jointly in unstructured environments in a self-directed way

Ability to take a leadership role on engagements and with customers

Strong teamwork skills and ability to work effectively with multiple internal customers

Keywords: active directory rlang information technology North Carolina
[email protected]
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Fri Jan 20 01:54:00 UTC 2023

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Location: Cary, North Carolina