Lead I - Data Science

5 - 7 years

8 - 10 Lacs

Posted:2 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

    5 - 7 Years
    1 Opening
    Noida


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:

• 5-10 years’ experience in data science/AI-ML/Generative AI development. • Prior hands-on experience in developing complex AI/ML solutions as an AI/Data Scientist or Engineer, in both proof of concept and production environments • Strong knowledge of Machine Learning, Deep Learning, Generative AI/LLMs, and various use cases. • Ability to apply methods such as predictive analytics, time series analysis, hypothesis testing, classification, clustering, and regression analysis. • Strong background in statistics and probability, including experience with descriptive and inferential statistical analysis. • Proficient in a core programming language such as Advanced Python, JavaScript's/ React/Angular, Scala, Spark • Experience with one or multiple databases like SQL server, Postgres, Click house, Presto • In-depth understanding of Cloud Platforms such as AWS, GCP, Azure, and ML platforms like Sage Maker. • Familiarity with Visualization Tools like Tableau, PowerBI • Experience in discovering use cases, scoping, and delivering complex solution architecture designs to diverse audiences, adapting technical depth as needed. • Understanding of DataOps, MLOps, LLMOps, Observability, DevOps, and SRE concepts. • Master’s or Bachelor’s degree in Data Science, Computer Science, or a relevant field. • Strategic thinker with excellent analytical and problem-solving skills. • Strong communication skills, able to drive results & capable of interacting/collaborating with both business decision-makers and other AI/ML experts/coders.

Skills

Data Science,Artificial Intelligence,Machine Learning

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.

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