Job Description

Key Responsibilities

Collect, clean, and preprocess structured and unstructured data from various sources. Perform exploratory data analysis (EDA) to identify patterns, trends, and insights. Assist in building and evaluating machine learning and statistical models. Work with senior data scientists to develop predictive analytics solutions. Visualize data using tools such as

Power BI, Tableau, Matplotlib, or Seaborn

. Write reusable and efficient code in

Python

or

R

for data processing and modeling. Collaborate with engineering, product, and business teams to understand requirements. Support the deployment and monitoring of ML models in production environments. Document methodologies, experiments, and analytical findings. Stay up to date with new tools, algorithms, and best practices in data science.

Required Skills & Qualifications

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Strong understanding of statistics, probability, and machine learning fundamentals. Hands-on experience with Python (NumPy, Pandas, Scikit-learn) or R. Knowledge of SQL for querying and analyzing data. Experience working with Jupyter Notebook or similar environments. Familiarity with data visualization tools (Power BI, Tableau, or Python libraries). Good analytical thinking, problem-solving skills, and attention to detail. Strong communication and ability to explain technical concepts to non-technical teams. Eagerness to learn and grow in a collaborative environment.
Job Type: Full-time

Pay: $70,000.00-$120,000.00 per year

Work Location: In person