Junior Data Scientist

Brooksource; Remote; USD 60,000 - 80,000; Full time

Job summary

A leading staffing agency is seeking a Junior Data Scientist to work remotely in Washington, DC. The role involves supporting data preparation and using advanced data science techniques within a nuclear work management framework. Ideal candidates will have a Bachelor's degree in a relevant field and 1-3 years of experience, particularly with Python and Databricks. Benefits include health and dental coverage, weekly pay, and paid time off. This position is perfect for those eager to grow their skills in a dynamic environment.

Benefits

Health benefits

Weekly pay

Paid time off

Qualifications

• 1-3 years of experience in data analysis or data science roles including internships.
• Hands-on experience in scripting and data analysis with Python.
• Knowledge of data cleaning and validation techniques.

Responsibilities

• Support data preparation for analytics and machine learning.
• Conduct exploratory data analysis to find patterns and issues.
• Assist in the testing and validation of machine learning models.

Skills

Python for data analysis

Strong analytical skills

Attention to detail

Effective communication skills

Education

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field

Tools

Databricks

Azure ML

SQL

Job description

Junior Data Scientist

Remote

Month Contract-Hire

Pay Rate - $35.00 - $42.00/hr (Depending on level of experience)

One of our largest Energy clients is seeking a associate level Data Scientist to support strategic initiatives tied to a Nuclear Online Work Management modernization. The Junior Data Scientist will focus on using data science and machine learning techniques to improve how nuclear work activities are planned, tracked, analyzed, and optimized across digital platforms. This position is ideal for an early-career data professional who is eager to apply analytics and AI in a highly regulated, mission-critical environment. You will work with structured and unstructured operational data to uncover trends, improve data quality, and support predictive and prescriptive use cases that enhance nuclear work planning, compliance, and performance.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related technical field
• 1–3 years of experience in data analysis, data science, or machine learning (internships and academic projects included)
• Hands‑on experience with Python for data analysis and scripting
• Experience working in Databricks environments for data processing or model development
• Exposure to Microsoft Azure cloud services (Azure Data Factory, Azure ML, storage, or similar)
• Foundational understanding of machine learning concepts (classification, regression, clustering)
• Experience using data science libraries such as Pandas, NumPy, Scikit‑learn, or similar
• Basic knowledge of SQL for querying and transforming data
• Understanding of data cleaning, preprocessing, and validation techniques
• Strong analytical and problem‑solving skills
• Strong attention to detail and ability to follow technical and procedural requirements
• Effective written and verbal communication skills for working with both technical and non‑technical stakeholders

Preferred Experience

• Familiarity with data pipelines and ETL/ELT processes
• Experience with data visualization tools such as Power BI, Tableau, or similar
• Understanding of machine learning workflows (feature engineering, model training, evaluation)
• Experience working in regulated industries (energy, utilities, manufacturing, healthcare, etc.)
• Exposure to Agile/Scrum project environments
• Familiarity with version control (Git) and collaborative development practices

Your Responsibilities Include

• Support data preparation for analytics and machine learning use cases related to nuclear online work management systems
• Source, clean, transform, and profile operational and work management data from multiple systems
• Perform exploratory data analysis (EDA) to identify patterns, anomalies, and data quality issues
• Develop features and datasets to support predictive models and performance insights
• Assist in building and testing machine learning models under guidance from senior data scientists
• Validate model outputs against historical data and expected operational results
• Build basic dashboards and visualizations to communicate trends, KPIs, and insights
• Document data definitions, business rules, and data lineage
• Collaborate with engineers and product teams to support data pipeline and analytics needs in Databricks and Azure
• Participate in sprint planning, stand‑ups, and other Agile ceremonies as part of the data workstream
• Contribute to improving data quality, governance, and usability across nuclear digital platforms
• Clearly communicate findings and insights to stakeholders to support data‑driven operational decisions
• Continuously build technical and domain knowledge in data science and nuclear operations

What’s in it for you?

A welcoming, team‑oriented environment where you’ll gain hands‑on experience with a Fortune 100 company. Eight Eleven Group offers health, dental, and vision benefits, weekly pay, holiday paid time off, and sick leave.

Equal Opportunity Employer

Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty, or veteran status, in accordance with applicable federal, state, and local laws.