Data Scientist (Freelancer)

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, 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.