Hiring Now: Data Scientist - Machine Learning/Artificial
A new position has opened up at workwarp for a Data Scientist - Machine Learning/artificial Intelligence! We have an opening at our office in Remote. This position requires a strong and diverse skillset in relevant areas to drive success. You can expect a salary of a competitive salary for this role, plus comprehensive benefits. Â Â Responsibilities :
- 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.
- 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.
- 0-2 years of experience in market research or relevant field.
Soft skills :
- 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 Apply Job! Take the Next StepAre you ready for this challenge? Apply now and let's discuss how you can become a vital part of our success story.
Apply Now
- 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.
- 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.
- 0-2 years of experience in market research or relevant field.
Soft skills :
- 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 Apply Job! Take the Next StepAre you ready for this challenge? Apply now and let's discuss how you can become a vital part of our success story.
Apply Now