Top Data Science Jobs to Apply for a Career Pump this October

These top data science jobs will be a major breakthrough in your career

Data science jobs

Data science jobs

With the right data and data science skills, anybody can conquer the commercial sector. Yes! This point is proved to be true on many fronts for over two decades now. Big data is accelerating companies to take better decisions in a more effective way and drives overall growth. Owing to its popularity and necessity, the World Economic Forum has said that the jobs of tomorrow will revolve heavily around data and artificial intelligence, engineering, and cloud computing. Many reports and surveys also suggest that data science skills are something that the job market desperately needs. Besides, data science jobs are glamorous and highly paid. This attracts more people to try titles like data scientists, data science engineers, data science consultants, etc. Big tech conglomerates are also actively recruiting for their top data science jobs every now and then. IndustryWired has listed top data science jobs that every aspirant should apply to this October. These top data science jobs will be a major breakthrough in your career.

 

Top Data Science Jobs to Apply

Data Scientist (Machine Learning) at HCL 

Location(s): Chennai

Roles and Responsibilities: As a data scientist (Machine learning) at HCL, the candidate is expected to design and develop machine learning models using T Studio or Python and deploy and monitor ML models. He/she should demonstrate early success in machine learning model development using rapid prototyping. They should continue to build a domain and knowledge base relevant for data science in industry areas like medical, automotive, aerospace, and manufacturing. 

Qualifications: 

  • The candidate should have a master’s in data science with at least 5-years of working experience in data science and machine learning fields. 
  • Mandated to have experience in ML model development and deployment for large scale data. 
  • He/she should have good understanding od deep learning algorithms like CNN, LSTM, DBN, RNN, etc.
  • They should have the ability to prototype AI applications using cognitive analytics technologies in close collaboration with solution architecture and software engineering teams. 

Apply here for the job. 

 

Data Scientist at Fractal Analytics

Location(s): Pune

Roles and Responsibilities: Fractal Analytics is looking for a data scientist to work on its Streamflux team. The company needs hands-on developer who can produce beautiful functional code to solve complex analytics problems. If the candidate is an exceptional developer with an aptitude to learn and implement using new technologies and loves to push boundaries to solve complex business problems innovatively, then Fractal Analytics is readily willing to take them up. Besides, he/she should have the ability to understand a problem statement and implement analytical solutions techniques independently. 

Qualifications: 

  • The candidate should have 3 to 6 years of demonstrable experience designing technological solutions to complex data problems, developing testing modular, reusable, efficient and scalable code to implement those solutions. 
  • He/she should have 3+ years of industry experience working as a data scientist or similar. 
  • Mandated to have productized machine learning models at scale. 
  • They should have experience with exploratory data analysis, statistical analysis, and testing, and model development.

Apply here for the job. 

 

Data Scientists at Intel

Location(s): Bengaluru

Roles and Responsibilities: As a data scientist at Intel, the candidate should be able to use predictive modeling, statistics, machine learning, data mining, and other data analysis to collect, explore, and extract insights from structured and unstructured data. He/she should develop software, algorithms, and applications to apply mathematics to data, perform large scale experimentation and build data-driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy. 

Qualifications: 

  • Candidates are mandated to have a Master’s degree (or higher) in computer science, machine learning, AI, or data science. 
  • He/she should have 3 to 5 years of experience in using data analysis techniques and ML methods like classification, regression pattern finding, clustering, dimensionality reduction, anomaly detection, etc. 
  • They should have experience with Hadoop, Spark. 

Apply here for the job. 

 

Senior Data Scientist at Ab Inbev

Location(s): Bengaluru

Roles and Responsibilities: The senior data scientist at Ab Inbev is expected to understand and solve complex business problems with sound analytical prowess and help businesses with impactful insights in decision-making. He/she should ensure any roadblocks in implementation and bring it to the notice of the analytics manager to make sure that the project deadline doesn’t get affected. They should document every aspect of the project in standard way, for future purposes. 

Qualifications: 

  • The candidate should have a degree in engineering, mathematics, or computers. 
  • He/she should at least have 4-5 years of data science, machine learning working experience. 
  • They should have proven skills in translating statistics into insights. 

Apply here for the job. 

 

Data Scientist | Computer Vision at Sutherland Global Services

Location(s): Hyderabad

Roles and Responsibilities: Sutherland Global Services is a process transformation company with over 30-years of experience in serving customers across many domains. In its initiative to innovate, the company wants a data scientist with computer vision knowledge to help its purpose. 

Qualifications: 

  • The candidate should have computer vision, OCR, and NLP knowledge.

Apply here for the job.