Data Scientist (Freelancer)

Soul Ai; Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Soul Ai in Bengaluru is seeking top-tier Data Scientists with expertise in predictive modeling, statistics, and A/B testing to collaborate with industry leaders. You will lead the design, development, and deployment of scalable data science solutions that optimize large-scale data pipelines in collaboration with engineering teams.

Architect advanced ML models (deep learning, ensembles) and apply statistical analysis to derive actionable business insights, owning the full lifecycle from data

Qualifications

• Proficient in Python and R with machine learning focus.
• Experience with Pandas, NumNum, Scikit-learn for modeling.
• Experience with XGBoost, PyTorch, TensorFlow and statistical modeling.

Responsibilities

• Lead design, development, and deployment of scalable data science solutions.
• Architect ML models and apply statistical analysis for insights.
• Own end-to-end data science projects from data acquisition to deployment.
• Implement MLOps workflows and conduct A/B testing to validate models.

Skills

Python

R

Pandas

NumNum

Scikit-learn

Machine learning

Statistical modeling

Tools

Apache Spark

Dask

AWS

GCP

Azure

Docker

Kubernetes

MLflow

CI/CD

Tableau

Plotly Dash

Job description

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.

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, NumNum, 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.