- 5-7 years of experience in data manipulation, statistical modeling, and data analysis.
- Strong problem-solving skills with a focus on product development.
- Proficiency in statistical computer languages (e.g., R, Python (Preferrable)) for data manipulation and analysis.
- Experience in data architecture design and implementation.
- Comprehensive knowledge of machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks) and their practical applications.
- Familiarity with advanced statistical concepts (e.g., regression, distribution properties, statistical tests).
- Exp in GEN AI in GCP/Azure, exposure to LLM, exp in LLM Prompts.
- Excellent written and verbal communication skills for effective collaboration across teams.
- A passion for exploring new technologies and techniques.
- Coding knowledge and experience in multiple languages (Java, Python).
- Expertise in statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees).
- Experience querying databases and using statistical computer languages (e.g., R, Python).
- Familiarity with web services/ APIs.
- Experience developing and applying advanced machine learning algorithms (e.g., regression, simulation, modeling, clustering).
- Experience analyzing data from third-party providers (e.g., Google Analytics, Site Catalyst).
- Knowledge of distributed data/computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
- Experience working in a cloud platform Azure, GCP, AWS and their data warehouse technologies - BigQuery, Snyapse etc.
- Collaborate with stakeholders across the organization to identify opportunities for data-driven solutions.
- Mine and analyze data from company databases to optimize processes and business strategies.
- Evaluate the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to datasets.
- Utilize predictive modeling to enhance customer experiences, revenue generation, and other business outcomes.
- Establish and implement an A/B testing framework to assess model quality.
- Partner with functional teams to implement models and monitor their impact.
- Develop processes and tools to monitor model performance and data accuracy.
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Scientist
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Scientist 3
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Scientist - Pittsburgh, United States - TATA Consulting Services (USA)
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Description
Skill:
Data Scientist
Must have:
Experience Required:
Responsibilities:
