Data Scientist/ML Engineer (HYBRID/NO C2C)

Amerit Consulting; New York (NY); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Energy Utilities company in New York, NY is seeking a Data Scientist/ML Engineer to design advanced analytics solutions and build scalable data pipelines. In a hybrid role (3 days onsite), you will develop ML models, create dashboards with Power BI and Tableau, and collaborate with cross‑functional teams on data requirements.

Strong SQL, Python, and AWS experience are essential. The position offers a 12‑month engagement with potential extension; candidate must be authorized to work in the USA

Qualifications

• 5+ years of relevant experience in data analytics and/or data engineering.
• Strong SQL and database management expertise.
• Proven experience building, maintaining, and supporting data pipelines and ETL processes.
• Strong Python skills for analytics, automation, and statistical applications.
• Experience with machine learning, statistical modeling, and advanced analytics.
• AWS/cloud experience, including data analysis and database migration projects.
• Strong understanding of data architecture, data modeling, and working with large-scale datasets.
• Direct Energy/Utilities industry experience, including utility data, EDI transactions, energy applications, rates, invoicing, and account management.

Responsibilities

• Design, develop, and implement analytical solutions to support business decisions using statistical and ML techniques on large datasets.
• Develop data pipelines and ETL processes; collaborate with cross-functional teams to define data requirements; build dashboards and reports with BI tools.
• Write complex SQL queries, manage data in relational databases, and create documentation for data processes, models, and tools.
• Apply full stack knowledge to set up new infrastructure and support data platforms.
• Leverage hardware understanding to optimize data processing and scale storage and compute on cloud platforms like AWS.

Skills

Python

SQL

Machine Learning

Data Analytics

AWS

Data Modeling

Tools

Power BI

Tableau

Airflow

Job description

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

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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

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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
• 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:

• 5+ years of relevant experience in data analytics and/or data engineering
• Strong SQL and database management expertise
• Proven experience building, maintaining, and supporting data pipelines and ETL processes
• Strong Python skills for analytics, automation, and statistical applications
• Experience with machine learning, statistical modeling, and advanced analytics
• AWS/cloud experience, including data analysis and database migration projects
• Strong understanding of data architecture, data modeling, and working with large-scale datasets
• Direct Energy/Utilities industry experience, including utility data, EDI transactions, energy applications, rates, invoicing, and account management

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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.

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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, compensatio

n and training.Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws.