Data Scientist - Python/Machine Learning Algorithms Jobs Opening in Aficionado Technologies Pvt Ltd at Hyderabad

Data Scientist - Python/Machine Learning Algorithms
Aficionado Technologies Pvt Ltd
Expired
Posted: 05 Apr 23
Job Description
Designation: Data Scientist - Python/Machine Learning Algorithms
More information about this Data Scientist - Python/Machine Learning Algorithms Job
Please go through the below FAQs to get all answers related to the given Data Scientist - Python/Machine Learning Algorithms job
Job description
- Apply advanced statistical and data mining techniques in order to derive patterns from the data
- Generate actionable insights for business improvements
- Analyze raw data - assessing quality, cleansing, structuring it for different analytical projects
- Must have problem solving attitude
- Develop solutions by using cutting edge AI/ML technology to solve business problems ranging from optimization of customer experiences to revenue generation and profit maximization, and other business outcomes
- Implement analytics solutions into company's Decision Platform contributing to shaping its tech architecture
- Partner with Product and Engineering teams to design data-driven solutions for improving and optimizing product functionalities
- Recommend & implement best practices around the application of predictive modelling
- Work with stakeholders throughout the company to identify opportunities for leveraging company data to drive business solutions
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
Key Skills Required :
- Strong academic background around Machine Learning / Computer Science / Data Analytics and Statistics or related field (Bachelor's Degree required)
- Advance exposure to key Machine learning algorithms (GBM, XGBoost, Random Forest, Neural networks, Bayesian methods, Deep learning, etc.)
- Experience in deploying Machine Learning models in production systems
- Hands on experience in handling large volume of numerical/textual data
- Strong programming skills (R, Python, Java)
- Experience in SQL and noSQL databases
- Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the specific business problem
- Strong communication skills: the ability to both formulate/understand the business problem at hand as well as ability to discuss with non -Data Science background stakeholders
More information about this Data Scientist - Python/Machine Learning Algorithms Job
Please go through the below FAQs to get all answers related to the given Data Scientist - Python/Machine Learning Algorithms job
- What are the job requirements to apply for this Data Scientist - Python/Machine Learning Algorithms job position?
- Ans: A candidate must have a minimum of fresher as an Data Scientist - Python/Machine Learning Algorithms
- What is the qualification for this job?
- Ans: The candidate can be a Graduate from any of the following: Other Course
- What is the hiring Process of this job?
- Ans: The hiring process all depends on the company. Normally for an entry level, hiring the candidate has to go for Aptitude, GD (If they look for communication),Technical test and face to face interviews.
- This Data Scientist - Python/Machine Learning Algorithms is a work from home job?
- Ans: No ,its not a Work from Home Job.
- How many job vacancies are opening for the Data Scientist - Python/Machine Learning Algorithms position?
- Ans: There are immediate 800 job openings for Data Scientist - Python/Machine Learning Algorithms in our Organisation.
Job Particulars
Role it software engineer
Education Any Graduate, Other Course
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id1729831
Job Category IT/Software
Locality Address
State Telangana
Country India
About Company
Aficionado Technologies Pvt Ltd
Jobs By Location
Hyderabad
Kolkata
Mumbai
Delhi
Chennai
Bangalore
Pune
Gurgaon
Noida
Ahmedabad
Others also searched for
Active Jobs By Type
View all
View less...
Active Jobs By Category
View all
View less