Lead Data Science - Tech M
Hi ,
Job Title: Lead Data Scientist (AWS/Azure Data bricks Experience, Python)
Location: Boston, MA (Onsite)
12+ months contract
Year of Experience: 8+ Years of Experience
Rate- $60 to $65/hr on C2C max
Lead Data Scientist responsibilities include managing the data science team, planning projects and building analytics models.
You should have a strong problem-solving ability and a knack for statistical analysis.
If you are also able to align our data products with our business goals, we would like to meet you.
Responsibilities
- Manage a team of data scientists, machine learning engineers and big data specialists
- Lead data mining and collection procedures
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
- Create and manage data pipeline on cloud platforms Azure, AWS , GCP
- Ensure data quality and integrity
- Interpret and analyze data problems
- Conceive, plan and prioritize data projects
- Build analytic systems and predictive models
- Test performance of data-driven products
- Visualize data and create reports
- Experiment with new models and techniques
- Align data projects with organizational goals
Requirements and skills
- Proven experience as a Data Scientist or similar role with relevant experience of at least 5+ years and total experience 8-10 years.
- Technical expertise regarding data lake, lakehouse, data models, database design development, data mining and segmentation techniques.
- Familar with Databricks concepts like Delta Lake, delta tables etc.
- Hands on experience of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.) and experience with applications.
- Experience querying databases and using statistical computer languages: Python, SQL, Matlab etc.
- Strong knowledge of and experience with reporting packages (Business Objects and likewise), databases, programming in ETL frameworks
- Experience with data movement and management in the Cloud utilizing a combination of Azure or AWS features
- Hands on experience in data visualization tools â€" Power BI preferred
- Solid understanding of machine learning
- Knowledge of data management and visualization techniques
- A knack for statistical analysis and predictive modeling
- Experience with SQL and NoSQL databases including ability to write complex queries and procedures
- Strong organizational and leadership skills
- Excellent communication skills
- A business mindset
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Regards,
US: +1 (469) 945-7202
Back 2 Back Contract Requirements !!
Himanshu KashyapUS: +1 (469) 945-7202
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