learn, XGBoost, LightGBM, StatsModels PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud More ❯
scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of More ❯
scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of More ❯
Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large Big Data environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices Object Orientated Programming More ❯
Build and optimize data pipelines and ETL workflows. Collaborate with data engineers and business stakeholders to deliver actionable insights. Create compelling data visualizations using tools like Tableau, Power BI, Matplotlib, or Plotly. Implement MLOps practices, including CI/CD, model monitoring, and lifecycle management. Mentor junior data scientists and contribute to team knowledge-sharing. Stay current with trends in AI … Azure, GCP). Proficiency in building data pipelines, ETL workflows, and collaborating with data engineers for scalable data solutions. Expertise in data visualization and storytelling using Tableau, Power BI, Matplotlib, Seaborn, or Plotly to present insights effectively. Strong knowledge of MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management. Ability to engage with business stakeholders, gather More ❯
