Data Scientist

Job Summary

TechNova Solutions is looking for an enthusiastic Data Scientist to join our IT analytics team. The role involves transforming raw data into actionable insights that drive product innovation and business strategy. You will work closely with software engineers, product managers, and stakeholders to build data-driven solutions for our cloud services platform.

Key Responsibilities

• Collect, clean, and preprocess large datasets from multiple internal and external sources to support machine learning projects.
• Develop and validate predictive models (e.g., recommendation engines, churn prediction) using Python and scikit-learn.
• Deploy models to production environments with Docker and Kubernetes, ensuring scalability and reliability.
• Collaborate with UI/UX designers to create interactive dashboards in Power BI and Tableau that visualize key performance metrics.
• Document methodology, assumptions, and results in clear technical reports and present findings to both technical and non‑technical audiences.

Required Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 0–2 years of professional experience in data science, analytics, or a related domain.
• Strong programming skills in Python, including experience with pandas, NumPy, and scikit-learn.
• Solid understanding of relational databases and proficiency in SQL for data extraction and manipulation.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud for data storage and model deployment.
• Knowledge of deep learning frameworks (TensorFlow or PyTorch) and experience building neural networks.
• Familiarity with data versioning tools (e.g., DVC) and CI/CD pipelines for data science workflows.

Required Skills

• Python programming (pandas, NumPy, scikit-learn)
• SQL database querying and data manipulation
• Statistical analysis and hypothesis testing
• Machine learning model development and evaluation
• Data visualization (Matplotlib, Seaborn, Tableau, Power BI)
• Version control with Git and collaborative workflow tools
• Containerization with Docker and orchestration with Kubernetes (preferred)
• Basic understanding of cloud services (AWS, Azure, GCP)

Education

Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or an equivalent quantitative discipline.

Benefits

• Competitive salary and performance‑based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work schedule with remote‑first policy.
• Professional development stipend and access to industry conferences.