Job Description

3 - 5 Years
1 Opening
Bangalore

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 : 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

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.