Senior Data Scientist
Senior Data Scientist
tekit software solutions pvt. ltd. (india & usa)- Posted an hour ago
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Job Description
Position: Data Scientist
Experience Required: 5+ Years
Location: Bangalore
About the Role
We are seeking a highly skilled Data Scientist with strong expertise in forecasting systems, operational research, and applied machine learning. The ideal candidate will have hands-on experience in building, deploying, and optimizing models in the AWS cloud environment, with a focus on time series forecasting and demand capacity planning.
Key Responsibilities
- Design, develop, and implement forecasting systems to improve demand prediction and operational capacity planning.
- Apply theoretical models and transform them into practical, real-world solutions.
- Perform data analysis, feature engineering, and statistical modeling to extract insights and improve model accuracy.
- Build, deploy, monitor, and update models in AWS using Amazon SageMaker pipelines, Docker containers, and other cloud-native tools.
- Conduct exploratory data analysis and prepare data using SQL and Python.
- Leverage machine learning, statistical modeling, and optimization techniques to solve business problems.
- Collaborate with cross-functional teams including product, engineering, and operations to integrate models into production systems.
- Continuously improve models by monitoring performance and tuning parameters.
Required Skills & Qualifications
- 5+ years of experience as a Data Scientist, preferably in forecasting systems and operational research.
- 3+ years of hands-on experience with SQL and Python (scripting & data manipulation).
- 3+ years of experience in machine learning/statistical modeling techniques and understanding of performance metrics.
- 3+ years of experience with AWS cloud services, including deploying end-to-end ML products.
- Practical experience using Amazon SageMaker pipelines and Docker containers.
- Strong understanding of demand forecasting and its impact on operational capacity planning.
- Knowledge of time series models and deep learning techniques for time series (e.g., LSTMs, Transformers) is a strong asset.
- Proven ability to apply theoretical models in real-world applications.
Preferred Skills
- Advanced degree (Master's/PhD) in Computer Science, Statistics, Applied Mathematics, or related field.
- Exposure to operational research optimization techniques (linear programming, simulation, etc.).
- Familiarity with big data tools such as Spark or Hadoop.
More Info
Key Skills
demand capacity planning
Amazon SageMaker
time series forecasting
About Company
Skills:
Sql, Deep Learning, Python, Computer Vision, Transfer Learning, TensorRT, Model Evaluation, Batching, Quantization, Attention Mechanisms, CNNs, GPU Inference, ONNX, Vision Transformers, Mixed Precision
Skills:
Machine Learning, Sql, Tensorflow, Pytorch, Python, Prompt engineering, Distributed data processing, Feature engineering, Agentic AI systems, Statistical Models, LLM-powered applications, Deep learning frameworks, RAG pipelines, PEFT, DPO alignment, Model fine-tuning techniques, LoRA, CI/CD, QLoRA, RLHF
Skills:
Sql, Deep Learning, Python, Computer Vision, Transfer Learning, TensorRT, Batching, Quantization, CNNs, GPU Inference, ONNX, Vision Transformers, Mixed Precision
Skills:
Prometheus, Elk Stack, Grafana, Tensorflow, Pytorch, Docker, XGBoost, Python, Azure DevOps, Bash, Shell Scripting, Sql, Git, Pandas, Spark, Databricks, Helm, Kubernetes, Airflow, CI/CD tools, Feature Engineering, ML Model Development, GitHub Actions, Scikit-learn, Model versioning, Infrastructure-as-code tools, Feature Stores
Skills:
Python, Sql, Pytorch, Time Series Analysis, Tensorflow, Pandas, Numpy, Machine Learning, scikit-learn, Statistics, probabilistic forecasting, statsmodels