Senior Data Scientist
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HI Folks
Please check the JD and share your updated resume to my email [Confidential Information] and ping me on whatsapp (+91 970-529-6474) along with your resume
Data Scientist
100% Remote
Working hours: 1PM to 10 PM IST
JD
We are seeking a highly skilled and motivated Data Science / Machine Learning Engineer to join our team. The ideal candidate will have strong expertise in Python, SQL, PySpark, and time series analysis/forecasting, with a proven track record of deploying machine learning models into production environments. Experience with Azure Databricks is highly valued and will be considered a strong asset.
At least 5+ years of experience required
Key Responsibilities:
Design, develop, and deploy scalable machine learning models for forecasting and predictive analytics.
Perform advanced time series analysis to support business decision-making and operational efficiency.
Write clean, efficient, and well-documented code in Python, leveraging libraries such as pandas, scikit-learn, statsmodels, and Prophet.
Use SQL and PySpark to extract, transform, and analyze large datasets from cloud-based data platforms.
Collaborate with data engineers and software developers to integrate models into production systems.
Monitor model performance and implement retraining pipelines to ensure accuracy and relevance over time.
Work within Azure Databricks to build, test, and deploy models in a distributed computing environment.
Communicate findings and recommendations to stakeholders through clear visualizations and presentations.
Stay current with the latest developments in machine learning, data science, and cloud technologies.
Job ID: 141081133
Skills:
Azure, Sql, AWS, Statistical Modelling, Python, Gcp, ML algorithms
Skills:
S3, Aws Services, Sql, Tensorflow, Lambda, Pytorch, Data Visualization, Python, Step Functions, Scikit-learn, R, ETL workflows
Skills:
data engineering , Machine Learning, Sql, Deep Learning, Git, Big Data Technologies, Agile, Databricks, Rest Apis, Python, Data Transformation, GenAI, scikit-learn, MLlib, NoSQL Databases
Skills:
Advanced Analytics, Nlp, AWS, Recommender Systems, Machine Learning, Dsp, Gcp, Time Series, Azure, scikit-learn, Pt, Tensorboard, Weights and Biases, documentation development, general machine learning knowledge, Bayesian Modeling, coaching and support, optimal control, machine learning models debugging, open-source libraries, Statistics, managed solutions, TF, experiments handling, Cv, Numerical Optimization, training process visualization
Skills:
Machine Learning, Sparql, Data Science, Pytorch, Rdf, LLM-assisted Knowledge Extraction, scikit-learn, HuggingFace, NetworkX, Embedding-based Semantic Alignment, Entity Resolution, Knowledge Graphs, RDFLib, Knowledge Representation
