Data Scientist (SQL and Python)

Bengaluru, Karnataka, India

Full Time Mid-level / Intermediate USD 50K - 94K * ^est.

Weekday

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Posted 2 days ago

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.