Data Science Lead

Role : Lead Data Science

Location : Bangalore

Job Type : Full time

Mode of work : Hybrid

Notice Period : Immediate to 30 days

Mandatory Skills : Python, Machine Learning, Flask, Data Visualization Tools

Job Description :

Role Proficiency :

Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing team

Outcomes :

- 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 teams 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 project

Management and Strategy :

- Oversees the activities of analyst personnel and ensures the efficient execution of their duties.

Critical business insights :

- Mines the businesss database in search of critical business insights and communicates findings to the 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 like git bitbucket. etc.

Create Reports :

- Create reports depicting the trends and behaviours from the analysed data

Document :

- Create documentation for own work as well as perform peer review 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 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