Analytics Insight has listed top data science jobs that professionals can apply for in this month.

In the modern world, the data science sphere is filled with connected networks and technological interventions. More and more technologies and tools are invading the market every year and the transformation is likely to continue into the coming decade as well. This has opened many vacancies on the job market as well. Data science jobs are growing like never before at an exponential rate. Glassdoor has named data scientist as the third best job in America in 2020. As we all know, Harvard Business Review declared data scientists as the 'sexiest job of the 21st century.' Even though many technologies emerge from the digital radar, data science jobs are anticipated to see many more openings in the upcoming years. Some of the famous data science roles are analytics translator, data engineer, machine learning engineer, data scientist, data architect, software engineer, etc. Analytics Insight has listed top data science jobs that professionals can apply for this month.

Data Scientist at IBM

Location: Noida, Hyderabad/Secunderabad, Bangalore

Company: IBM (International Business Machines) is a global technology company that provides hardware, software, cloud-based services, and cognitive computing. Founded in 1911 following the merger of four companies in New York State, IBM believes that the application of intelligence, reason and science can improve business, society, and the human condition. The company has developed a thoughtful, comprehensive approach to corporate citizenship that they believe aligns with IBM's values and maximized the impact they can make as a global enterprise.

Roles and responsibilities: As a data scientist at the IBM Garage team, the candidate will be part of a cross-functional team that delivers a unique client co-creation experience to accelerate client transformation. He/she is expected to be a key contributor to a pre-sales Garage team, partnering with clients to understand business problems and propose solutions. Henceforth, the candidate is expected to demonstrate strong business acumen and the ability to understand business problems, formulate hypotheses, and test conclusions to influence solution design. He/she is expected to have an excellent understanding of machine learning and deep learning techniques and algorithms, such as Deep CNNs, optimizers, feature engineering, transformers, etc. The candidate is expected to have at least 5-8 years of work experience as a data scientist.

Apply here for the job.

Digital Enterprise Architect at Mphasis

Location: Bangalore

Company: Mphasis Group is a global, multicultural organization headquartered in Bangalore, India. The company applies next-generation technology to help enterprises transform business globally. Mphasis specializes in providing a suite of application development and maintenance services, infrastructure outsourcing, and business & knowledge process outsourcing solutions to clients around the world. The company focuses on customer-centric products and uses the exponential power of cloud and cognitive to provide a hyper-personalized digital experience to clients and their end-users.

Roles and responsibilities: As a digital enterprise architect, the candidate is expected to thrive in an open, dynamic, flexible, collaborative environment, and desire creative freedom and an opportunity to work with performing teams. He/she should help the company discover the hidden information in vast amounts of data from their client projects and aid them to derive cognitive-based solutions for it. The primary focus of the candidate should be applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with the company's solutions like automated scoring using machine learning techniques, build recommendation systems, improve and extend the features used by its existing classifier, develop internal A/B testing procedures, build system for automated fraud detection, etc. He/she should have a solid knowledge of several statistical modeling and learning techniques. The candidate should have hands-on coding in Azure Databricks, PySparks, Azure AI/ML services, and Python/R.

Apply here for the job.

IDM- Lead Data Scientist at Philips India Limited

Location: Bangalore

Company: Philips India Limited is a subsidiary of Royal Philips of the Netherlands, a leading health technology company focused on improving people's health and enabling better outcomes across the health continuum from healthy living and prevention, to diagnosis, treatment, and home care. Founded in 1939, Philips India Limited leverages advanced technology and deep clinical and consumer insights to deliver integrated solutions.

Roles and responsibilities: The lead data scientist is expected to ensure the strategic direction for data science capabilities for Philips India Limited. He/she should continuously evaluate the latest techniques in artificial intelligence, machine learning, robotics, statistical analysis, etc. The candidate should implement advanced algorithms for business problems based on statistical analysis, coding, deep learning, advanced data mining, etc. They should develop new algorithms if necessary to bring predictive, advanced statistics/learning-based solutions. He/she should also have experience of 10-15 years as a data scientist or a data analyst.

Apply here for the job.

Digital Data Scientist at GlaxoSmithKline Pharmaceuticals Ltd

Location: Bangalore

Company: GlaxoSmithKline Pharmaceuticals Ltd is one of the leading pharmaceutical companies in India. GSK is a science-led global healthcare company with a special purpose to help people do more, feel better, and live longer. The company aims to be one of the world's most innovative, best performing, and trusted healthcare companies. GSL's prescription medicines range across therapeutic areas, such as anti-infectives, dermatology, gynecology, diabetes, oncology, cardiovascular disease, and respiratory diseases. The company offers a range of vaccines for the prevention of many types of diseases.

Roles and responsibilities: As a digital data analyst, the candidate is expected to be accountable for the delivery of a portfolio of digital biomarker data science projects across several disease areas. He/she will apply their expertise in signal processing, and machine learning to derive solutions to a range of problems in digital sensor data. The candidate should process, analyze, and interpret digital biomarker data using common programming languages such as Python. He/she should create a novel algorithm to extract information from unstructured raw sensor data and other multiparametric datasets captured in Phase I-IV clinical trials. The candidate should have a higher degree in engineering, data science, statistics, applied mathematics, computer science, or related disciplines. Ph.D. candidates with knowledge in data science will be given high preference.

Apply here for the job.

Data Scientist at Novartis

Location: Hyderabad

Company: Novartis is a global healthcare company based in Switzerland that provides solutions to address the evolving needs of patients worldwide. Novartis believes to re-imagine medicine to improve and extend people's lives. The company uses innovative science and technology to address some of society's most challenging healthcare issues. Novartis has discovered and developed breakthrough treatments and found new ways to deliver them to as many people as possible.

Roles and responsibilities: As a data scientist, the candidate is expected to work on a number of business applications including customer segmentation & targeting, event prediction, propensity modeling, churn modeling, customer lifetime value estimation, forecasting, recommender systems, modeling response to incentives, marketing mix optimization, price optimization, etc. He/she should develop automation for repeatedly refreshing analysis and general insights. The candidate should have a Master's in a quantitative discipline like computer science, applied mathematics, bioinformatics, statistics, etc. He/she should also have 8+ years of relevant experience in data science.

Apply here for the job.