Data Scientist (Freelancer)

Experts Community of Soul AI

Who can be a part of the community?

We are looking for top-tier Data Scientists with expertise in predictive modeling, statistical analysis, and A/B testing. If you have experience in this field then this is your chance to collaborate with industry leaders.

What’s in it for you?

• Pay above market standards

• The role is going to be contract based with

  project timelines from 2 - 12 months

  , or freelancing.
• Be a part of an Elite

  Community of professionals

  who can solve complex AI challenges.
• Work location could be:
• Remote (Highly likely)
• Onsite on client location
• Deccan AI’s Office: Hyderabad or Bangalore

Responsibilities:

• Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams.
• Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights.
• Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights.
• Own the full lifecycle of data science projects—from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring.
• Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models.

Required Skills:

• Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling.
• Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure).
• Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen.

Nice to Have:

• Experience with NLP, computer vision, recommendation systems, or real-time data processing (Kafka, Flink).
• Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices.
• Contributions to open-source projects or published research.

What are the next steps?

1. Register on our Soul AI website.

2. Our team will review your profile.

Clear all the screening rounds:

Profile matching and Project Allocation:

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