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Urgent! Data Scientist Job Opening In India, India – Now Hiring Weekday AI



Job description

This role is for one of the Weekday's clients

Min Experience: 3 years

JobType: full-time

We are seeking a highly motivated and detail-oriented Data Scientist with 3–7 years of experience to join our team.

In this role, you will be responsible for leveraging data-driven approaches to deliver actionable insights, build predictive models, and contribute to data-informed decision-making.

You will collaborate with cross-functional teams—including product, engineering, marketing, and business stakeholders—to identify opportunities where data can drive value, optimize business outcomes, and support strategic growth.

Requirements

Key Responsibilities

  • Collect, clean, and analyze large and complex datasets to identify patterns, trends, and insights that inform business decisions.
  • Design, develop, and implement machine learning models, algorithms, and statistical techniques to solve real-world business problems.
  • Collaborate with stakeholders to translate business requirements into well-defined analytical solutions.
  • Create and maintain dashboards, reports, and visualizations that make insights easily understandable for non-technical stakeholders.
  • Perform exploratory data analysis (EDA) to generate hypotheses, test assumptions, and guide further analysis.
  • Continuously evaluate model performance and improve accuracy, scalability, and efficiency.
  • Partner with data engineering teams to ensure robust data pipelines and infrastructure for analytics and machine learning.
  • Communicate complex results in a clear and concise manner, tailoring the message for technical and non-technical audiences.
  • Stay updated with the latest advancements in machine learning, AI, and data science to bring innovative techniques to the organization.

Required Skills and Qualifications

  • 3–7 years of proven experience as a Data Scientist, preferably in a product-based or fast-paced environment.
  • Strong expertise in Python or R for data analysis, modeling, and scripting.
  • Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
  • Proficiency in SQL and working with relational as well as non-relational databases.
  • Strong statistical knowledge and experience applying hypothesis testing, regression, time-series forecasting, clustering, classification, and other advanced techniques.
  • Experience in building, deploying, and monitoring machine learning models in production environments.
  • Ability to design and deliver data visualizations using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn, Plotly).
  • Familiarity with big data platforms such as Spark, Hadoop, or cloud-based solutions (AWS, GCP, or Azure) is a plus.
  • Excellent problem-solving skills with the ability to translate complex data into actionable strategies.
  • Strong communication and collaboration skills, with the ability to work effectively with diverse teams.

Preferred Qualifications

  • Exposure to Natural Language Processing (NLP), computer vision, or recommendation systems.
  • Experience with MLOps practices, version control (Git), and CI/CD pipelines for machine learning workflows.
  • Background in mathematics, statistics, computer science, data engineering, or a related field.
  • Experience in experimentation design, A/B testing, and causal inference.


Required Skill Profession

Mathematical Science Occupations



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