We are seeking a motivated Junior Data Scientist to join our growing team. This role is ideal for someone with a Master’s degree (minimum requirement) in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field, or a candidate currently pursuing a Ph.D.. The candidate should bring at least 1 year of relevant experience in data science, machine learning, or analytics.
The Junior Data Scientist will work closely with senior data scientists, analysts, and engineering teams to support data-driven decision-making, build predictive models, and generate actionable insights.

EDUCATION:

• Required: Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field.
• Preferred: Currently pursuing a Ph.D. in a quantitative discipline.

EXPERIENCE & SKILLS:

• Minimum 1 year of practical experience in data science, machine learning, or analytics.
• Strong programming skills in Python or R; experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch is a plus.
• Hands-on experience with SQL and working knowledge of databases.
• Ability to use data visualization tools (e.g., Matplotlib, Seaborn, Tableau, or Power BI).
• Familiarity with cloud platforms (AWS, Azure, or GCP) is an advantage.
• Solid understanding of statistics, probability, and data modeling techniques.
• Excellent problem-solving skills, analytical mindset, and ability to work in a team environment.
  Job Type: Full-time
  Pay: $55,000.00 - $65,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Education:

• Master’s (Preferred)

Experience:

• Python: 1 year (Required)
• R: 1 year (Required)
• Machine learning: 1 year (Required)
• SQL: 1 year (Required)

Work Location: In perso

• Collect, clean, and preprocess structured and unstructured datasets for analysis.
• Assist in building and validating machine learning models and statistical algorithms.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Support data visualization efforts and create dashboards/reports to communicate findings.
• Collaborate with cross-functional teams (engineering, product, business) to apply data-driven solutions.
• Contribute to research initiatives and proof-of-concept projects in AI/ML.
• Stay current with emerging data science tools, techniques, and best practices.