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Lead I - Data Science

Lead I - Data Science

UST

5 - 7 years

5 Lacs

bengaluru

Posted:3 days ago| Platform:

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Skills Required

calculation foundry data analytical mathematics data mining qlik dbms storage tools sql data cleansing analytics data science data visualization matlab python data analysis sas predictive analytics presentation skills google sheets excel tableau r mahout logic

Work Mode

Work from Office

Job Type

Full Time

Job 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
manipulationand analysis of data.
Creates efficient and reusable code. Follows coding best practices.

Create/Validate Data Models:

Builds statistical models; diagnoses
validatesand 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 pointlibraries 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:

1. Experience in Python stored and executed in Foundry transforms. 2. Strong Foundry AIP logic - this is the GenAI portion making calls out to a model and can vary by source 3. Experience in Prompting - working with the business to understand how to instruct the LLM based on what the goals are for source 4. Good in Foundry Workshop - building the User Interface. Strong proficiency in Python, especially for Foundry transforms Experience with Palantir Foundry AIP and integrating GenAI models Understanding of prompting techniques and LLM-based workflows Experience with Foundry Workshop (UI development) Ability to work closely with business stakeholders to translate requirements into Foundry-based solutions

Required Skills

Python,Palantir Foundry,Foundry Workshop

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Lead I - Data Science