Data Scientist

Expert Technology Services; Hyde Park Township (IL); Remote; USD 80,000 - 120,000; Full time

Job summary

This innovative firm is seeking a Data Scientist to join their dynamic team. In this role, you will leverage your expertise in machine learning and statistical techniques to build and validate quantitative models. You'll work with large datasets, ensuring data quality and applying advanced analytical methods to drive insights. The position offers a unique opportunity to work remotely while collaborating with a talented team in the energy sector. If you're passionate about data science and eager to tackle real-world challenges, this is the perfect opportunity to make a significant impact.

Qualifications

• 8 years of experience with quantitative models for Bachelor's degree or 5 years for Master's degree.
• Proficiency in programming for data manipulation and analysis.

Responsibilities

• Build and validate quantitative models using large datasets.
• Interpret client needs and assess requirements for data-driven solutions.

Skills

RAG (Retrieval-Augmented Generation)

Data Cleaning and Validation

Programming Languages for Data Manipulation

Machine Learning Models

Statistical Techniques

Excellent Communication Skills

Problem-Solving Skills

Cloud Platforms (GCP, Azure)

Education

Bachelor's Degree in Statistics

Master's Degree in Data Science

Tools

Azure

GCP

Job description

Join to apply for the Data Scientist role at Expert Technology Services

Duration of Project (if contract): 6 months+

Location: 100% Remote. PST candidates not ideal.

If interested, please share your updated resume to:

• [e-mail]
• [e-mail]

Note: Candidates MUST BE Green Card holders or US Citizens due to project requirements.

Must have experience with RAG (Retrieval-Augmented Generation).

Qualifications:

• Bachelor's or Master's Degree in statistics, mathematics, computer science, data science, or a related quantitative field
• 8 years of experience building quantitative models for Bachelor's degree or 5 years for Master's degree
• Experience with data cleaning and validation
• Proficiency in programming languages for manipulating and analyzing large datasets
• Knowledge of machine learning models (classification, clustering, decision trees, neural networks, regression, etc.)
• Understanding of statistical techniques and their business applications
• Excellent communication skills
• Willingness to learn new technologies and techniques
• Experience with cloud platforms such as GCP and Azure
• Strong problem-solving skills
• Ability to interpret client needs and assess requirements

Desired Skills:

• Experience with real-world, messy data
• Experience in the energy industry
• Experience with ML at scale
• Experience with Azure or other cloud services

Additional Information:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industry: Computer Networking Products

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