Data Scientist (Freelancer)

Who Can Be a Part of the Community

top-tier Data Scientists

• Predictive modeling

• Statistical analysis

• A/B testing

If you are a hands-on problem solver with experience in advanced analytics and scalable ML systems, we'd love to have you on board.

What's in It for You

• Pay above market standards

• Contract-based roles (212 months) or freelance flexibility
• Be part of an

  elite community

  solving next-gen AI challenges

• Work remotely

  or from

  Deccan AI offices

  (Hyderabad/Bangalore) or client sites

Key Responsibilities:

• Lead the design, development, and

  deployment of scalable data science solutions

  , optimizing large-scale data pipelines.
• Architect and train

  advanced machine learning models

  (deep learning, reinforcement learning, ensemble methods).
• Apply

  predictive modeling

  ,

  statistical analysis

  , and

  optimization techniques

  to derive actionable business insights.
• Manage the full lifecycle of data science projects

  from data acquisition and EDA to model deployment and monitoring

  .
• Build and maintain

  MLOps workflows

  , including training, deployment, versioning, and performance monitoring.
• Design and execute

  A/B tests

  to validate the effectiveness of models and solutions.

Required Skills:

• Expertise in

  Python

  ,

  R

  , and data science libraries:

  Pandas

  ,

  NumPy

  ,

  Scikit-learn

• Strong experience with ML frameworks:

  XGBoost

  ,

  PyTorch

  ,

  TensorFlow

• Skilled in building

  scalable data pipelines

  using

  Apache Spark

  ,

  Dask

• Proficiency with

  cloud platforms

  :

  AWS

  ,

  GCP

  ,

  Azure

• Hands-on knowledge of

  MLOps tools

  :

  Docker

  ,

  Kubernetes

  ,

  MLflow

  ,

  CI/CD pipelines

• Excellent data visualization skills using

  Tableau

  ,

  Plotly Dash

  , or similar tools
• Strong

  business acumen

  and problem-solving skills

Nice to Have:

• Experience in

  NLP

  ,

  computer vision

  ,

  recommendation systems

  , or

  real-time data streaming

  (Kafka, Flink)
• Familiarity with

  data privacy regulations

  (GDPR, CCPA) and

  ethical AI practices

• Contributions to

  open-source projects

  or a strong

  research/publication

  record