This role is for one of the Weekday's clients

Salary range: Rs 2000000 - Rs 2500000 (ie INR 20-25 LPA)

Min Experience: 1 years

Location: Bangalore

JobType: full-time

We are looking for a Data Scientist with a strong foundation in data science and Python to join our team. In this role, you will analyze large datasets, develop predictive models, and extract actionable insights to drive business decisions. You will collaborate with cross-functional teams, apply statistical techniques, and work with cutting-edge machine learning models to solve real-world problems. If you are passionate about data and eager to learn, we would love to hear from you!

Key Responsibilities:

• Collect, clean, and preprocess structured and unstructured data for analysis.
• Develop and implement machine learning models and statistical algorithms to solve business problems.
• Write efficient and scalable Python code for data processing and model development.
• Conduct exploratory data analysis (EDA) to uncover patterns, trends, and correlations.
• Collaborate with data engineers and software developers to integrate models into production systems.
• Visualize data insights using libraries like Matplotlib, Seaborn, or Plotly.
• Communicate findings and recommendations to stakeholders in a clear and actionable manner.
• Stay updated with the latest advancements in data science and machine learning techniques.

Key Skills & Qualifications:

•  1+ years of experience in data science, analytics, or a related field.
• Proficiency in Python and its libraries, such as Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch.
• Strong understanding of statistical analysis, machine learning algorithms, and data mining techniques.
• Experience working with large datasets and performing data wrangling.
• Ability to write clean, efficient, and modular code for data analysis and model building.
• Familiarity with SQL for data querying and manipulation (preferred).
• Knowledge of data visualization tools like Matplotlib, Seaborn, or Tableau.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.

Nice-to-Have:

• Experience with cloud platforms (AWS, GCP, or Azure) for data storage and processing.
• Familiarity with Big Data technologies such as Spark or Hadoop.
• Hands-on experience with NLP, deep learning, or reinforcement learning.
• Exposure to MLOps and model deployment in a production environment.