Lead II - Data Science

Bangalore, Karnataka
Permanent
Full-time

2 months ago

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 team’s 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 business’s 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:Position: Machine Learning Engineer Experience: 5+ years Location: Bengaluru(Hybrid) Responsibilities: • Design, develop, and deploy machine learning models and algorithms. • Perform data analysis to extract insights and identify patterns. • Develop and implement feature engineering processes to enhance model performance. • Collaborate with data scientists and other team members to understand business requirements and translate them into technical solutions. • Build and maintain scalable data pipelines and infrastructure. • Work with frameworks like Flask/FastAPI/Django to develop and deploy machine learning applications. • Conduct experiments, perform model tuning, and evaluate model performance using appropriate metrics. Requirements: • Minimum of 5 years of experience in machine learning, data analysis, and feature engineering. • Strong proficiency in Python and its libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch). • Experience with one or more web frameworks such as Flask, FastAPI, or Django. • Solid understanding of machine learning algorithms and techniques. • Experience with data visualization tools (e.g., Matplotlib, Seaborn). • Strong problem-solving skills and ability to work independently as well as in a team. • Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. • Good to have experience with cloud platforms, particularly AWS. • Good to have experience with MLOps practices and tools. • Good to have experience with Natural Language Processing (NLP) techniques. • Good to have exposure to Generative AI (GenAI) technologies.Skills:Python,Machine Learning Models,Flask,Data Visualization ToolsAbout Company:UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s 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 clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

UST

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