InfoVision - Data Scientist (0-2 yrs)

Data Scientist

What You'll Do:

- Support Internal and External Clients with the understanding of Data Science design and methodology.

- Accompanies senior leaders meet with clients to understand business needs and help offer innovative solutions.

- Assists on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as python/r.

- Collaborates with other Data Science team units.

- Automate and develop solutions for existing processes.

Who Can Apply:

- Efficient and effective with basic guidance and coaching

Qualifications, Experience:

- Professionals with degrees in Math, Data Science, Statistics, Actuarial Science, or related fields involving statistical analysis of large data sets.

- 0 to 2 years of experience in market research or relevant field.

Qualifications:

- Soft skills qualifications

- Passionate about innovation and technology

- Problem-Solving skills

- Ability to effectively convey complex concepts to non-experts

- Intellectual curiosity and persistence to find answers to questions

- Eager to continuously learn and adapt to changing technologies and tools.

- Good command of written and spoken English.

- Good collaborative and interpersonal skills to communicate at all levels. (Preferred)

- Entrepreneur mindset (Preferred)

Analytical and Technical skills:

- Basic understanding of Statistics.

- Good aptitude for data analysis.

- Critical/ logical thinking.

- Experienced with programming languages such as Python

- Familiar with cognos analytics.

- Familiarity with marketing analytics, including designing experiment and consumer behavior analysis.

What can you expect from us?

You will get trained on the following modules for a period of 12-14 weeks:

- SQL & PLSQL

- Data Wrangling using Python

- Data Visualization Using Power-BI

- Statistics for Machine Learning

- Artificial Intelligence, Data Interpretation

- Supervised & Unsupervised Learning

- NLP & Deep Learning

- Cognos Analytics

- Cloud Data Lake

- Business intelligence & Data Visualization

- Simulation Projects

Expected Outcome?

At the end of the Training, you are expected to be well versed with the following:

- Analysis of large and complex data sets from multiple sources

- Development and evaluation of data analytics models, algorithms, and solutions

- Understanding/implementation of ML algorithms, performance tuning, and reporting

- Implementation of algorithms to mine targeted data and the ability to convert data into a business story

- Translation of business requirements into technical requirements; Data extraction, preparation, and transformation

- Identification, development, and implementation of statistical techniques and algorithms that address business challenges and adds value to the organization

- Requirement Analysis and communication of findings in the form of a meaningful story with the stakeholders

- Finding analytical solutions to abstract business issues.

- Apply objective analysis of facts before coming to a conclusion

Our Benefits:

- Flexible working environment

- Health insurance

- Parental leave

- Life assurance