Data Scientist

Data Scientist

ownership of your work, we’d love to hear from you.

Key Responsibilities

• Collect, clean, and analyze both structured and unstructured datasets
  
• Perform Exploratory Data Analysis (EDA) to uncover insights and drive data-driven decisions
  
• Build, train, and deploy machine learning and statistical models
  
• Develop efficient, reusable, and scalable Python code for data processing tasks
  
• Design dashboards, reports, and data visualizations to communicate findings
  
• Collaborate with product managers, analysts, and engineering teams to solve business challenges
  
• Take end-to-end ownership of projects, from ideation to deployment
  
• Contribute to innovation in data products and solutions
  
• Work directly with clients to gather requirements and deliver tailored solutions
  

Skills & Qualifications

• 2–4 years of experience in Data Science and Python development
  
• Strong programming skills in

  Python

  , with proficiency in libraries like

  NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn

• Practical experience with ML algorithms:

  Classification, Regression, Clustering, NLP

• Solid understanding of

  SQL

  and exposure to

  NoSQL

  databases
• Experience with visualization tools such as

  Tableau, Power BI

  , or Python-based dashboards (e.g., Plotly, Dash)
• Familiarity with cloud platforms like

  AWS, Azure, or GCP

• Strong problem-solving and analytical skills
  
• Excellent communication skills and client-facing experience
  
• Ability to work independently and collaboratively in a fast-paced environment
  

Good to Have

• Experience with

  Deep Learning

  frameworks: TensorFlow, PyTorch, or Keras
• Exposure to

  Big Data

  technologies: Spark, Hadoop
• Understanding of

  MLOps

  practices and tools: Docker, MLflow, Airflow

Why Join Us?

• Opportunity to work on impactful, data-driven projects across industries
  
• Collaborative and innovation-focused work environment
  
• Ownership of projects and real opportunities for growth
  
• Work closely with clients and business stakeholders