Data Scientist Job In Citi In Pune, India

About the DepartmentEngineering Excellence is a new function within ICG Technology Our mission is to make it easy and enjoyable for software engineering teams to go from a business idea to delivering an innovative product solution The main goals are to improve and upgrade our tools, streamline our processes, automate and strengthen our controls, and help development teams adopt modern working methodsThis new initiative represents a critical investment in our future development capability We are building an expert team to transform the working environment of the 30,000 people who make up the ICG development community and help them dramatically change their approach to developing software across the many different technologies we support.

The Developer Engineering group has a challenging remit, but with the scale and variety comes a unique opportunity to be agents of cultural and technical change who significantly impact the bankAbout the TeamThe Measurement, Optimisation, Recognition, and Engagement team is responsible for measuring Technical Achievement and DevOps Outcomes across ICG Technology and helping to foster a collaborative, open culture amongst our developer communitiesThe team identifies, develops, and maintains automated measurement of Productivity Metrics, DevOps Capabilities, and Technical Recognition items which application teams can use to recognise their peers, discover and adopt new methods and contribute solutions for use by the wider organisation The team is also responsible for working with the other Developer Engineering streams to ensure capabilities are implemented within infrastructure, taught in training courses and advertised and discussed across the developer communityAbout the RoleThe measurement action stream has three broad goals: to measure the progress of the department towards its outcomes to establish meaningful measures that development teams leverage and finally to reinforce positive behaviors via the influence of measurement.

The team requires practitioners who are not only skilled in data science, but ones who intimately understand the development process and can also contribute to the wider initiative's cultural goalsThe successful candidate will collaborate with the team to imagine, design, develop, test, and automate big data solutions Your job will write systems to process large amounts of data from multiple sources and make it accessible, meaningful and actionable both for direct use by development teams and for senior management consumption This team is a key strategic function and will take part in wider departmental initiativesJob Description

• Design, develop, and implement machine learning software to analyze large amounts of structured and unstructured data
• Contributes as part of an expert team of software engineers/data scientists
• Responsible for systems that gather and process data/measures/reports
• Building a back-end infrastructure to gather and move metrics from core systems into the Measurement engine
• Drives adoption of measures and metrics by development teams
• Improves data quality across the entire estate
• Evolves measurement through continuous improvement
• Ensures measures are useful to development teams
• Derives measures for senior management consumption from these
• Implements solutions for reporting issues with broad impact
• Use statistics and machine learning techniques to develop algorithms to extract information from data Test and enhance algorithms to measure the accuracy of software
• Analysis and documentation of data from variety of sources and formats
• Developing mappings and code for integration of data sets from disparate domains
• Quality assurance and testing of analytical routines and data frameworks
• Remain up to date on industry research and new techniques in machine learning

Candidate Characteristics

• Excellent communicator who gets on well with others, building strong professional relationships
• Able to negotiate and influence at various levels
• Collaborative by nature, builds partnerships across the firm
• Creative and innovative, brings different angles to problems and provides new solutions
• Risk and security focused, putting diligent risk management and security at the core of everything they do
• Able to effectively use complex analytical, interpretive and problem-solving techniques.
  
  

Requirements

• Able to understand Various data structures and common method in data transformation
• Excellent Pattern recognition and data mining
• Able create and maintain data Lineage
• Strong background in Algorithms, Data Structures, Machine Learning, Deep Learning and Big Data
• Extensive hand-coding expertise in programming languages such as Python, Spark, Scala
• Experience in building and managing REST APIs
• Experience in systems integration, web services, batch processing
• Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture
• Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML,
• Experience with Agile SDLC methods
• Scrum, Kanban, etc

-------------------------------------------------Job Family Group: Technology-------------------------------------------------Job Family:Data Science------------------------------------------------------Time Type:Full time------------------------------------------------------Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteranCitigroup Inc and its subsidiaries ('Citi') invite all qualified interested applicants to apply for career opportunities If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review View the '' poster.

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Citi is looking for Any Graduate / Post Graduate profile candidates.