Senior Data Scientist
Senior Data Scientist
Grid DynamicsThis job is no longer accepting applications
Job Description
Essential Functions
- Design, develop, and deploy forecasting algorithms using industry best practices
- Work on time series modeling and other predictive modeling techniques
- Implement and experiment with ML models as part of a developer-focused data science team
- Develop scalable data pipelines and solutions using Python and PySpark
- Collaborate across engineering and analytics teams to deliver production-ready ML solutions
Key Qualifications
- Experience:
- 4+ years in a developer role focused on ML model implementation, experimentation, and related software engineering
- 3–4 years of hands-on experience in Python and PySpark development
- 3–4 years as a Data Scientist with strong focus on forecasting algorithms
- 1–2 years of general software development experience
- Experience with Azure services, including:
- Azure Data Factory (ADF)
- Azure Pipelines
- Azure DevOps
- Skills & Tools:
- Forecasting models and time series techniques (ARIMA, Prophet, exponential smoothing, etc.)
- ML model development and evaluation
- Python (must-have)
- PySpark (must-have)
- ML Ops tools and CI/CD workflows in Azure environment
- Education:
- Bachelor's or Master's degree in Computer Science, Software Engineering, Statistics, or a related discipline
What We Offer
- Opportunity to work on cutting-edge, high-impact ML projects
- Collaborative and motivated team environment
- Competitive salary and performance incentives
- Flexible working schedule
- Comprehensive benefits package:
- Medical insurance
- Sports or wellness benefits
- Participation in corporate social events
- Professional development support and career growth opportunities
- A modern, well-equipped office space
More Info
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About Company
Skills:
Time Series Analysis, Machine Learning, Sql, Tensorflow, Numpy, Pandas, Pytorch, Python, scikit-learn, probabilistic forecasting, Statistics, statsmodels
Skills:
Python, Machine Learning, R, ML algorithms, data science pipeline, data-structures
Skills:
causal inference , Numpy, Pandas, Python, Machine Learning, Data Modeling, Hypothesis Testing, Data Science, Predictive Analytics, Statistical Analysis, Scikit-learn, Quantitative Problem-Solving, Data-Centric AI Workflows, Model Evaluation, Statistics, Analytics, AI Systems, Applied Machine Learning, experimentation, Statistical Modeling
Skills:
model selection , Nlp, Pyspark, Neural Networks, Python, Machine Learning, Google Cloud Platform, Classification, Data Text Mining, Big Data Platforms, Finetuning, Multi-modal Models, GPU/CPU Based Online Inferencing, LLM Gateways, Deep Neural Networks, Event Driven Architecture, Vector Databases, Optimization Methods, Embedding Generation, Model Deployment, Bayesian Models, Retrieval Augmented Generation, Prompt Engineering, Deep Learning Algorithms
Skills:
AWS, Sql, Etl, Python, Gcp, Pyspark, Azure Microsoft Services