Job Description

:Role Proficiency:Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing teamOutcomes: * Managing and designing the reporting environment including data sources security and metadata.

• Providing technical expertise on data storage structures data mining and data cleansing.
• Supporting the data warehouse in identifying and revising reporting requirements.
• Supporting initiatives for data integrity and normalization.
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Synthesize both quantitative and qualitative data into insights
• Generating reports from single or multiple systems.
• Troubleshooting the reporting database environment and reports.
• Understanding business requirements and translating it into executable steps for the team members.
• Identify and recommend new ways to streamline business processes
• Illustrates data graphically and translates complex findings into written text.
• Locating results to help the clients make better decisions. Get feedback from clients and offer to build solutions based on the feedback.
• Review the teamxe2x80x99s deliverables before sending final reports to stakeholders.
• Support cross-functional teams with data reports and insights on data.
• Training end users on new reports and dashboards.
• Set FAST goals and provide feedback on FAST goals of reportees

Measures of Outcomes: * Quality - number of review comments on codes written

• Accountable for data consistency and data quality.
• Number of medium to large custom application data models designed and implemented
• Illustrates data graphically and translates complex findings into written text.
• Number of results located to help clients make informed decisions.
• Attention to detail and level of accuracy.
• Number of business processes changed due to vital analysis.
• Number of Business Intelligent Dashboards developed
• Number of productivity standards defined for project
• Manage team members and review the tasks submitted by team members
• Number of mandatory trainings completed

Outputs Expected:Determine Specific Data needs: * Work with departmental managers to outline the specific data needs for each business method analysis projectManagement and Strategy: * Oversees the activities of analyst personnel and ensures the efficient execution of their duties.Critical business insights: * Mines the businessxe2x80x99s database in search of critical business insights and communicates findings to the relevant departments.Code: * Creates efficient and reusable SQL code meant for the improvementmanipulation
and analysis of data. * Creates efficient and reusable code. Follows coding best practices.Create/Validate Data Models: * Builds statistical models; diagnosesvalidates
and improves the performance of these models over time.Predictive analytics: * Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysisPrescriptive analytics: * Attempts to identify what business action to takeCode Versioning: * Organize and manage the changes and revisions to code. Use a version control tool like gitbitbucket. etc.Create Reports: * Create reports depicting the trends and behaviours from the analysed dataDocument: * Create documentation for own work as well as perform peer review of documentation of others' workManage knowledge: * Consume and contribute to project related documentsshare point
libraries and client universitiesStatus Reporting: * Report status of tasks assigned

• Comply to project related reporting standards/process

Skill Examples: * Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.

• Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail.
• Critical Thinking: Data analysts must look at the numbers trends and data and come to new conclusions based on the findings.
• Presentation Skills - reports and oral presentations to client
• Strong meeting facilitation skills as well as presentation skills.
• Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions.
• Mathematical Skills to estimate numerical data.
• Work in a team environment
• Proactively ask for and offer help

Knowledge Examples:Knowledge Examples * Database languages such as SQL

• Programming language such as R or Python
• Analytical tools and languages such as SAS & Mahout.
• Proficiency in MATLAB.
• Data visualization software such as Tableau or Qlik or Power BI.
• Proficient in mathematics and calculations.
• Spreadsheet tools such as Microsoft Excel or Google Sheets
• DBMS
• Operating Systems and software platforms
• Knowledge about customer domain and also sub domain where problem is solved

Additional Comments:ROLE: Senior Data Scientist REQUIREMENT: xe2x80xa2 6+ years of professional experience in business analysis, requirement gathering, solution workflow design for AI/ML/Analytics project xe2x80xa2 Experience in LLM/Gen AI xe2x80x93 Prompt Engineering, RAG and parameter hypertuning xe2x80xa2 Experience in programming skills in Python and SQL xe2x80xa2 Strong understanding of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Python xe2x80xa2 Experience in Deep learning techniques xe2x80xa2 Excellent Communication skills to effectively collaborate with business SMEs, UX team xe2x80xa2 Intermediate knowledge with Dev Ops practices, including CICD, Automation, Build Management, and Versioning xe2x80xa2 Understanding of Cloud services, including Microsoft Azure, GCP or Amazon Web Services xe2x80xa2 Experience in Pyspark will be an added advantage RESPONSIBILITIES: xe2x80xa2 Excellent problem solving, Critical and Analytical thinking skills xe2x80xa2 Proficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineering xe2x80xa2 SQL Skills with working knowledge of machine learning algorithms xe2x80xa2 Drive client engagement fully and align the development team towards a technical roadmap xe2x80xa2 Lead teams of data scientists to achieve project outcome xe2x80xa2 Implements analytical requirements by defining and analysing system problems; designing and testing standards and solutions xe2x80xa2 Develops solution by preparing and evaluating alternative workflow solutions xe2x80xa2 Determines operational objectives by studying business functions; gathering information; evaluating output requirements and formats xe2x80xa2 Designs new analytical solutions by analysing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications xe2x80xa2 Improves systems by studying current practices; designing modifications xe2x80xa2 Recommends controls by identifying problems; writing improved procedures xe2x80xa2 Defines project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget xe2x80xa2 Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions xe2x80xa2 Maintains system protocols by writing and updating procedures xe2x80xa2 Provides references for users by writing and maintaining user documentation; providing help desk support; training users xe2x80xa2 Maintains user confidence and protects operations by keeping information confidential xe2x80xa2 Prepares technical reports by collecting, analysing, and summarizing information and trends xe2x80xa2 Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societiesSkills:Data Science,Data Management,Data AnalysisAbout Company:UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the worldxe2x80x99s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clientsxe2x80x99 organizations. With over 30,000 employees in 30 countries, UST builds for boundless impactxe2x80x94touching billions of lives in the process.

UST