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Junior Data Scientist

NAVA TECH LLC · Andes, NY, US

Spotted 3d ago

Job details

Pay
$30.00 – $35.00 an hour
Work mode
On-site
Level
Entry level
Experience
1+ year
Education
Bachelor's degree
Posted
Nov 3, 2026
Last confirmed open
Nov 3, 2026
Job description

About this role

Job Title: Junior Data Scientist

Employment Type: Full-Time (W2)

Candidate must be open to relocate.

We are seeking motivated and aspiring Data Scientists to join our growing consulting team. This opportunity is ideal for recent graduates and early-career IT professionals who are passionate about data science, machine learning, artificial intelligence, and data-driven decision-making.

Responsibilities

  • Collect, clean, preprocess, and analyze structured and unstructured datasets.
  • Develop and implement machine learning models to solve business problems.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
  • Build predictive models and evaluate their performance using appropriate statistical techniques.
  • Develop data visualizations and dashboards to communicate findings effectively.
  • Collaborate with data engineers, software developers, business analysts, and stakeholders to deliver data-driven solutions.
  • Optimize machine learning models for scalability, accuracy, and performance.
  • Follow software development best practices, including version control and Agile methodologies.

Qualifications

Bachelor's degree in Computer Science, Data Science, Information Technology, Software Engineering, Computer Engineering, Mathematics, Statistics, Artificial Intelligence, or a related technical field.

1–4 years of professional experience in data science, software development, analytics, machine learning, or a related technical role.

Strong programming skills in Python, R, SQL, Java, or similar programming languages.

Understanding of statistics, probability, linear algebra, and machine learning fundamentals.

Familiarity with data analysis libraries such as Pandas, NumPy, Scikit-learn, or similar tools.

Knowledge of SQL, relational databases, and data modeling concepts.

Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is a plus.

Familiarity with machine learning frameworks such as TensorFlow, PyTorch, Keras, or XGBoost is preferred but not required.

Strong analytical, problem-solving, and communication skills.

Willingness to relocate to Atlanta, GA for the paid training program and travel or relocate as required for client engagements across the United States.

Pay: $30.00 - $35.00 per hour

Benefits:

  • 401(k)
  • Relocation assistance

Work Location: In person

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