Lead II - Data Science
- UST
- 8 - 12 years
- Thiruvananthapuram
- 21 days ago
- Email to a friend
- Report this job
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 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 project
Management 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 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
Additional Comments:
Job Description: We are looking for an experienced Python Developer with a minimum of eight years of experience in Python and its related web frameworks. Experience with machine learning stacks is a plus. Job Location: Bengaluru, India Responsibilities: - Develop, test, and maintain web applications using Python and related frameworks like Flask. - Write clean, maintainable, and efficient code. - Troubleshoot and debug applications to ensure optimal performance. - Participate in code reviews to maintain code quality and share knowledge with the team. - Work on integrating machine learning models and algorithms into applications (nice to have). Requirements: - Minimum of 5 years of professional experience in Python development. - Strong knowledge of web frameworks like Flask. - Experience with relational databases such as PostgreSQL, MySQL, or similar. - Familiarity with version control systems like Git. - Knowledge of software development best practices and design patterns. - Excellent problem-solving skills and the ability to work independently as well as in a team. - Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders. - Proficiency in front-end technologies like HTML, CSS, and JavaScript is a plus. - Experience with machine learning stacks such as TensorFlow, Keras, or scikit-learn is a plus.
Required Skills
Python,Machine Learning Models,Flask,Postgresql
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: USTLocation(s): Thiruvananthapuram
Keyskills: calculation css data mathematics scikit-learn data mining storage bitbucket sql data cleansing tensorflow git postgresql keras html mysql communication skills matlab python data analysis python development power bi machine learning javascript excel tableau r web framework flask
Similar positions
UST
Sterling Outsourcing from Poland is a professional outsourcing services provider specializing in delivering cost-effective, high-quality business support solutions. Based in Poland, Sterling offers a strategic advantage through a highly skilled workforce, competitive pricing, and EU-aligned busin...
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in