Amerit Consulting
Data Scientist/ML Engineer (HYBRID/NO C2C)
New York, New York · Contract
No sponsorship$11k-$26kDetected 29 days ago
PythonFull-Stack DevelopmentSQLAWSCloud PlatformsDevOpsMachine LearningSparkData EngineeringData ScienceData VisualizationStatisticsElectrical EngineeringCommunicationProblem SolvingRenewable Energy
About the role
- Currently, Amerit has over 2,000 employees in 47 states.
- 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' busin esses forward.
Responsibilities
- Design and implement advanced analytical solutions
- Build and optimize data pipelines and ETL frame works
- 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.
- 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.
- Hardware experience will be particularly useful for setting up and managing the infrastructure needed to support these tasks, ensuring efficient and reliable data processing
Requirements
- Strong understanding of: Data architecture.
- 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
- 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' busin
Nice to have
- Preferred Skills:
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
- Experience with AI/advanced machine learning frameworks
- Familiarity with big data technologies (Spark, Hadoop, etc.)
Compensation
- $11k-$26k
Benefits
- Develop machine learning models for predictive and prescriptive analytics
- 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.
- The candidate should understand existing hardware and identify additional needs, run compilers and interpreters, manage new databases, and apply machine learning and AI techniques.
- This position involves working with large datasets, developing data pipelines, and implementing machine learning models.
Company info
- Our client, Energy Utilities company, specializing in renewable energy production, is actively seeking an accomplished Data Scientist/ML Engineer
Visa & Work Authorization
- Candidate must be authorized to work in USA without requiring sponsorship *
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This listing is sourced directly from Amerit Consulting's careers page and normalized into a canonical job model.