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:
Machine Learning, Jira, Sql, Nlp, Gitlab, Python, UNIX command line, Statistics, Feature engineering, ML Ops, Agile workflows, Azure AI Search
Skills:
data preparation , model development , Machine Learning, Qlik Sense, Power Bi, Git, MLops, Gcp, Data Visualization, Python, Feature Engineering, Deployment, CI CD, Llm, Training, Cloud Platforms, Agentic AI
Skills:
Hypothesis Testing, Sql, Pandas, Gcp, Docker, Azure, Python, AWS, Logistic Regression, Shiny, scikit-learn, APIs in R, mixed-effects models, R, Bayesian Methods, Statistical Modeling, data.table, tidyverse, time-series analysis
Skills:
Pyspark, Scala, Sql, Tensorflow, MLops, Pytorch, Docker, Spark, Flask, Python, PEFT, CNNs, Transformers, RAG, Vision Transformers, Large Language Models
Skills:
Ml, Deep Learning, MLops, Python, Algorithms, data structures, generative AI architectures, LLMs, GANs, Transformer-based networks, Ai, DL, SLMs, autoregressive models, Variational Autoencoders, reinforcement learning, RAG, Agentic AI, RL, modern AI frameworks, Generative AI