Lead I - Data Science

5 - 7 Years 4 Openings Hyderabad

Role description

Role Proficiency:

Provide expertise on data analysis techniques using software tools. Under supervision streamline business processes.

Outcomes:

• Design and manage the reporting environment; which include data sources security and metadata.

• Provide technical expertise on data storage structures data mining and data cleansing.

• Support the data warehouse in identifying and revising reporting requirements.

• Support initiatives for data integrity and normalization.

• Assess tests and implement new or upgraded software. Assist with strategic decisions on new systems. Generate reports from single or multiple systems.

• Troubleshoot the reporting database environment and associated reports.

• Identify and recommend new ways to streamline business processes

• Illustrate data graphically and translate complex findings into written text.

• Locate results to help clients make better decisions. Solicit feedback from clients and build solutions based on feedback.

• Train end users on new reports and dashboards.

• Set FAST goals and provide feedback on FAST goals of repartees

Measures of Outcomes:

• Quality - number of review comments on codes written

• Data consistency and data quality.

• Number of medium to large custom application data models designed and implemented

• Illustrates data graphically; translates complex findings into written text.

• Number of results located to help clients make informed decisions.

• Number of business processes changed due to vital analysis.

• Number of Business Intelligent Dashboards developed

• Number of productivity standards defined for project

• 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 project

Critical business insights:

• Mines the business’s database in search of critical business insights; communicates findings to relevant departments.

Code:

• Creates efficient and reusable SQL code meant for the improvement
  manipulation
  and analysis of data.

• Creates efficient and reusable code. Follows coding best practices.

Create/Validate Data Models:

• Builds statistical models; diagnoses
  validates
  and improves the performance of these models over time.

Predictive analytics:

• Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis

Prescriptive analytics:

• Attempts to identify what business action to take

Code Versioning:

• Organize and manage the changes and revisions to code. Use a version control tool for example git
  bitbucket. etc.

Create Reports:

• Create reports depicting the trends and behaviours from analyzed data

Document:

• Create documentation for worked performed. Additionally
  perform peer reviews of documentation of others' work

Manage knowledge:

• Consume and contribute to project related documents
  share point
  libraries and client universities

Status Reporting:

• Report status of tasks assigned

• Comply with project related reporting standards and processes

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 review numbers trends and data to come up with original conclusions based on the findings.

• Presentation Skills - facilitates reports and oral presentations to senior colleagues

• Strong meeting facilitation skills as well as presentation skills.

• Attention to Detail: Vigilant in the analysis to determine accurate 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.

• Proficient in mathematics and calculations.

• Efficiently with spreadsheet tools such as Microsoft Excel or Google Sheets

• DBMS

• Operating Systems and software platforms

• Knowledge regarding customer domain and sub domain where problem is solved

Additional Comments:

Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python, Java Familiarity with machine learning frameworks Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

Skills

Database,Data Analysis,Machine Learning,Natural Language Processing

About UST

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.