Data Scientist/ML Engineer (HYBRID/NO C2C)

Hybrid in New York, NY, US • Posted 10 hours ago • Updated 10 hours ago
Contract W2
12 Months
No Travel Required
Hybrid
$75 - $85/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Analytics
  • Machine Learning
  • Python
  • Tableau
  • Microsoft Power BI
  • Data Architecture
  • Dashboard
  • Big Data
  • Apache Hadoop
  • Business Intelligence
  • Cloud Computing
  • Amazon Web Services
  • SQL
  • Extract, Transform, Load
  • ETL

Summary

Our client, Energy Utilities company, specializing in renewable energy production, is actively seeking an accomplished Data Scientist/ML Engineer

___________________________________________

 

Note: THIS IS HYBRID ROLE & ONLY W2 CANDIDATES

 

*** Candidate must be authorized to work in USA without requiring sponsorship *

 

Position: Data Scientist/ML Engineer (Job Id – 26-011 67)

Location: New York NY 10003 (Hybrid – 3 Days Onsite)

Duration: 12 Months + Possible Extension

__________________________________________________

Major Objectives:

 

  • Design and implement advanced analytical solutions
  • Build and optimize data pipelines and ETL frame works
  • Develop machine learning models for predictive and prescriptive analytics
  • Establish scalable data infrastructure
  • Enable business teams through insights, dashboards, and reporting too

 

Responsibilities/Job Description:

 

  • The applicant will design, develop, and implement analytical solutions to support business decisions, applying statistical and machine learning techniques to large datasets for predictive and prescriptive analysis.
  • They will develop data pipelines and ETL processes, collaborate with cross-functional teams to define data requirements, and build dashboards and reports using BI tools like Power BI and Tableau. Additionally, the candidate will write complex SQL queries, manage data in relational and SQL databases, and create documentation for data processes, models, and tools.
  • The role requires full stack knowledge, including front-end and back-end components, and the ability to set up new infrastructure.
  • The candidate should understand existing hardware and identify additional needs, run compilers and interpreters, manage new databases, and apply machine learning and AI techniques.
  • Hardware experience is crucial for managing large datasets and developing data pipelines, with familiarity in servers, databases, and cloud platforms like AWS for scalable storage and processing.
  • This position involves working with large datasets, developing data pipelines, and implementing machine learning models.
  • Hardware experience will be particularly useful for setting up and managing the infrastructure needed to support these tasks, ensuring efficient and reliable data processing

 

Required Skills:

 

  • Strong SQL and database management experience
  • Experience with data pipelines and ETL processes
  • Proficiency in machine learning and statistical modeling
  • Experience with BI tools (Power BI, Tableau)
  • Full-stack development knowledge
  • Experience with cloud platforms (AWS preferred)
  • Strong understanding of : Data architecture. Data modeling, Infrastructure setup
  • Ability to work with large-scale datasets Programming experience (likely Python/R)
  • Strong problem-solving and analytical skills
  • Bachelor''s degree in Electrical Engineering or Computer Engineering

 

Preferred Skills:

 

  • Experience with AI/advanced machine learning frameworks
  • Familiarity with big data technologies (Spark, Hadoop, etc.)
  • Experience setting up new environments/infrastructure from scratch
  • Knowledge of hardware/server configuration
  • Experience in energy/utilities or highly regulated industries
  • DevOps or data engineering tooling experience

_____________________________________________________________

 

I''d love to talk to you if you think this position is right up your alley, and assure a prompt communication, whichever direction. If you''re looking for rewarding employment and a company that puts its employees first, we''d like to work with you.

 

________________________________________________

Bhupesh Khurana

Lead Technical Recruiter

 

Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally; as well as small to mid-sized organizations on a local & regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients’ businesses forward.

Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10119098
  • Position Id: Bk-CD-167
  • Posted 10 hours ago
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BK

Bhupesh Khurana

Recruiter @ Amerit Consulting
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