This role is for one of the Weekday's clients
Salary range: Rs 1200000 - Rs 2500000 (ie INR 12-25 LPA)
Min Experience: 2 years
Location: Bengaluru
JobType: full-time
We are seeking a Data Scientist with strong expertise in SQL and Python to join our dynamic team. In this role, you will leverage data to drive insights, optimize decision-making, and contribute to the development of data-driven solutions. You will work closely with cross-functional teams, including engineering, product, and business stakeholders, to transform raw data into meaningful business insights.
Requirements
Key Responsibilities
- Design, develop, and deploy data-driven solutions to solve business challenges.
- Extract, clean, and analyze large datasets using SQL to uncover trends and insights.
- Develop and implement machine learning models and statistical analyses using Python.
- Work with structured and unstructured data to perform exploratory data analysis (EDA).
- Collaborate with data engineers to ensure data pipelines are efficient and scalable.
- Create visualizations and dashboards to communicate findings to stakeholders.
- Stay up-to-date with the latest advancements in data science, machine learning, and AI.
- Optimize algorithms and models for performance, accuracy, and scalability.
- Work with A/B testing frameworks to measure the impact of data-driven decisions.
- Assist in automating data collection, processing, and reporting tasks.
Required Skills & Qualifications
- 2+ years of experience in Data Science, Analytics, or a related field.
- Proficiency in SQL for querying and manipulating large datasets.
- Strong programming skills in Python, including experience with libraries like Pandas, NumPy, and Scikit-learn.
- Hands-on experience with statistical analysis, predictive modeling, and machine learning techniques.
- Ability to work with structured and unstructured data from various sources.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, or Power BI).
- Strong problem-solving skills with the ability to translate business problems into data solutions.
- Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
- Excellent communication skills to present data-driven insights effectively.