Role Description
Role Proficiency:Independently interprets data and analyses results using statistical techniques
Outcomes
- Independently Mine and acquire data from primary and secondary sources and reorganize the data in a format that can be easily read by either a machine or a person; generating insights and helping clients make better decisions.
- Develop reports and analysis that effectively communicate trends patterns and predictions using relevant data.
- Utilizes historical data sets and planned changes to business models and forecast business trends
- Working alongside teams within the business or the management team to establish business needs.
- Creates visualizations including dashboards flowcharts and graphs to relay business concepts through visuals to colleagues and other relevant stakeholders.
- Set FAST goals
Measures Of Outcomes
- Schedule adherence to tasks
- Quality – Errors in data interpretation and Modelling
- Number of business processes changed due to vital analysis.
- Number of insights generated for business decisions
- Number of stakeholder appreciations/escalations
- Number of customer appreciations
- No: of mandatory trainings completed
Outputs Expected
Data Mining:
- Acquiring data from various sources
Reorganizing/Filtering Data
- Consider only relevant data from the mined data and convert it into a format which is consistent and analysable.
Analysis
- Use statistical methods to analyse data and generate useful results.
Create Data Models
- Use data to create models that depict trends in the customer base and the consumer population as a whole
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 with project related reporting standards and process
Code
- Create efficient and reusable code. Follows coding best practices.
Code Versioning
- Organize and manage the changes and revisions to code. Use a version control tool like git bitbucket etc.
Quality
- Provide quality assurance of imported data working with quality assurance analyst if necessary.
Performance Management
- Set FAST Goals and seek feedback from supervisor
Skill Examples
- Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.
- Communication Skills: Ability to present findings or translate the data into an understandable document
- Critical Thinking: Ability to look at the numbers trends and data; coming up with new conclusions based on the findings.
- Attention to Detail: Making sure to be vigilant in the analysis to come with accurate conclusions.
- Quantitative skills - knowledge of statistical methods and data analysis software
- Presentation Skills - reports and oral presentations to senior colleagues
- Mathematical skills to estimate numerical data.
- Work in a team environment
- Proactively ask for and offer help
Knowledge Examples
Knowledge Examples
- Proficient in mathematics and calculations.
- Spreadsheet tools such as Microsoft Excel or Google Sheets
- Advanced knowledge of Tableau or PowerBI
- SQL
- Python
- DBMS
- Operating Systems and software platforms
- Knowledge about customer domain and also sub domain where problem is solved
- Code version control e.g. git bitbucket etc
Additional Comments
Mandatory Skills: Data Analytics, Data Science, Data Science Engineer Skill to Evaluate: Data Science Engineer Experience: 3 to 6 Years Location: Bengaluru Job Description: Are you a data-driven individual with a passion for solving complex problems? We are seeking an experienced and highly motivated Data Scientist to join our growing team. The successful candidate will have a strong background in statistical analysis, machine learning, and data visualization. They will work with large and complex data sets to develop insights and make data-driven decisions that drive business value. As a Data Scientist, you will have the opportunity to work with large and complex data sets, build and maintain predictive models, and design and implement experiments to validate and refine your work. You will also have the chance to collaborate with cross-functional teams, communicate your insights to stakeholders, and stay up-to-date with the latest trends and technologies in data science and machine learning. If you are looking for an opportunity to make a difference in a fast-paced and challenging environment, this could be the perfect role for you. Apply today and take your career to the next level! Base Location Bengaluru Type Hybrid Mode with 2-3 days work from office per week based on project demand Education Qualificaiton: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 3 to 6 years of relevant experience Job Title: Sr. Data Science Engineer Roles & Responsibilities: Extract, process, and analyze large data sets to develop insights and support decision making. Build and maintain predictive models and algorithms to support business objectives. Design and implement experiments to validate and refine models. Communicate insights and findings to stakeholders and make data-driven recommendations. Collaborate with cross-functional teams to identify and solve business problems. Stay up-to-date with the latest trends and technologies in data science and machine learning. Project Details: We are seeking an experienced and highly motivated Data Scientist to join our growing team. The successful candidate will have a strong background in statistical analysis, machine learning, and data visualization. They will work with large and complex data sets to develop insights and make data-driven decisions that drive business value. Strong experience with statistical analysis. Proficient in programming languages such as Python and R. Experience with big data technologies such as Hadoop, Spark, ELK and NoSQL databases. Excellent communication and presentation skills. Ability to work independently and in a team environment. Experience with project management tools and methodologies (e.g. Agile, Scrum). Knowledge of data visualization tools and techniques (e.g. Tableau, PowerBI, ELK, DOMO).
Skills
Data Analytics,Data Science,Statistical analysis,Machine learning and Data visualization
