data Scientist test 1

Job Summary

We are looking for an enthusiastic Data Scientist Test 1 to join our IT analytics team. In this entry‑level role, you will help transform raw data into actionable insights, build predictive models, and support data‑driven decision making across the organization. You will work closely with data engineers, product managers, and business analysts to deliver high‑impact solutions.

Key Responsibilities

• Collect, clean, and preprocess large datasets from multiple internal and external sources to ensure data quality and consistency.
• Develop and validate machine‑learning models (regression, classification, clustering) to solve business problems such as churn prediction, demand forecasting, and recommendation engines.
• Conduct exploratory data analysis and create visualizations to communicate findings to technical and non‑technical stakeholders.
• Collaborate with data engineering teams to design and maintain data pipelines, ensuring efficient data flow and storage.
• Participate in A/B testing and experimentation workflows, interpreting results to guide product improvements.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• 0–2 years of professional experience in data science, analytics, or a related role.
• Strong foundation in statistics and probability, with the ability to apply these concepts to real‑world problems.
• Proficiency in Python programming, including libraries such as pandas, NumPy, and scikit‑learn.

Preferred Qualifications

• Experience with cloud data platforms (AWS, GCP, or Azure) and data warehousing solutions.
• Familiarity with SQL and the ability to write complex queries for data extraction.
• Exposure to version control systems (Git) and collaborative coding practices.

Required Skills

• Python programming (pandas, NumPy, scikit‑learn)
• SQL querying and database management
• Statistical analysis and hypothesis testing
• Machine‑learning model development and evaluation
• Data visualization (Matplotlib, Seaborn, Tableau or Power BI)
• Version control with Git
• Understanding of data pipeline concepts (ETL/ELT)
• Basic knowledge of big‑data tools (Spark, Hive) is a plus

Education

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related quantitative discipline.

Benefits

• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement plan with company matching contributions
• Generous paid time off and flexible work arrangements
• Professional development stipend for courses, certifications, and conferences