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ML - Data Scientist @ Iris Software

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 ML - Data Scientist

Job Description

Job Description
POSITION SUMMARY : The Data Scientist position is responsible for defining, planning and managing data analysis initiatives that applies data science principles and technology to develop innovative, high-quality technology solutions to solve complex operational problems and process challenges. The Data Scientist identifies opportunities through the use of statistical, algorithmic, mining and visualization techniques. The role requires advanced analytical skills and proficiency at integrating and preparing large, varied datasets, architecting specialized data structures and computing environments, and effectively communicating results. The Data Scientist works closely with application and database teams, along with business and operational subject matter experts.
PRIMARY RESPONSIBILITIES :
  • Lead and mentor staff and provide learning and development opportunities by sharing Subject Matter Expertise
  • Designs experiments, test hypotheses and build models for the assigned operational problems.
  • Conducts advanced data analysis and complex design algorithms to discover patterns.
  • Work with stakeholders to identify business requirements and expected outcomes.
  • Models and frames business scenarios that are meaningful and which impact critical business processes and/or decisions.
  • Collaborates with subject matter experts, across all areas to select the relevant sources of information.
  • Works with IT teams to support data collection, integration and retention requirements based on input collected with the business.
  • Works in iterative processes, at times using experimental design approaches to validate findings.
  • Assesses, with the business, the expected qualification and assurance of the information in support of the use case(s).
  • Defines the validity of the information, how long the information is meaningful and other information it is related to.
  • Recommends ongoing improvements to methods and algorithms that lead to findings, including new information or data external to the organization that may be useful.
  • Identifies and analyzes patterns in the data, including the type of data and speed of sudden variations in the data collection.
  • Provides business metrics for assigned projects to show improvements.
  • Provides on going tracking and monitoring of performance of decision systems and models.
  • Troubleshoots and implements enhancements and fixes to systems as needed.
  • Demonstrates data scientist qualities, including clarity, accuracy, precision, relevance, depth, breath, logic, significance and fairness.
  • Adhere to ethical standards and comply with the laws and regulations applicable to your job function
KNOWLEDGE/SKILLS :
  • Knowledge of various kinds of databases and how they are structured, built and maintained.
  • Excellent Business Analysis skills.
  • Knowledge and ability to evaluate performance metrics
  • Strong tactical and analytical skills at the corporate level
  • Experience with machine learning techniques and algorithms
  • Experience with Data Warehouse implementations and ETL skills
  • Ability to work with complex data sources, technical concepts and business problems effectively
  • Must be proficient in query languages such as SQL.
  • Ability to work effectively as member of a team and also independently to achieve business goals
Required :
  • 5-7 years of related experience in IT, research, business or a related field
  • 5-7 years of experience in IT technologies, trends, and analysis
  • Previous experience in Data Warehouse and Data Analytics is preferred
  • Excellent written and verbal communication skills
Mandatory Competencies
  • Data Science and Machine Learning - Data Science and Machine Learning - Azure ML
  • Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
  • Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
  • Artificial Intelligence - AI Tools - TensorFlow
  • Data Science and Machine Learning - Data Science and Machine Learning - NLP (Natural language processing)
  • Beh - Communication and collaboration

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time

Contact Details:

Company: Iris Software
Location(s): Noida, Gurugram

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Keyskills:   Data Scientist Tensorflow Azure Artificial Intelligence Natural Language Processing Ai Machine Learning Devops Sql Business Analysis Data Science Pytorch Azure Ml Nlp Learning And Development Data Analytics Etl Ml Logistics

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