Top data science jobs look for professions with mathematical and statistical knowledge

Crowned as the most promising profession of the century, data science is constantly in need of tech-savvy professionals who are good at data literacy and has extraordinary knowledge in business. Because of the spiraling demand, data science jobs are in the ascendancy. The commercial sphere has come to a realization that big data allows better decision-making, helps create efficient teams and supports company growth. Besides, the World Economic Forum has also put out a statement that the jobs of the future will revolve around big data, artificial intelligence, engineering, and cloud computing, instigating more hype for data scientists. But over the past few years, corporate organizations have moved from the umbrella term 'data scientists' to adverse job profiles like data engineers, data architects, business analysts, data analysts, statisticians, machine learning engineers, etc. Top data science jobs look for professions with an aptitude for mathematics and statistical analysis who can integrate business strategies with data. Analytics Insight has listed the top data science jobs to apply for this weekend.

Top Data Science Jobs to Apply this Weekend

Lead Data Scientist BFSI at IBM

Location: Bengaluru

Roles and Responsibilities: IBM's Global Technology Services (GTS) business unit is on a mission to be the most trusted partner to its clients and enables them with a game-changing technology backbone to drive competitive advantage. Therefore, the company is looking for passionate data scientists with expertise in machine learning, who can contribute to delivering on this vision. As a data scientist at IBM, the candidate will be at the forefront of this ride and get to work with end clients on a regular basis. They will create a compelling value proposition and targeted content to significantly improve their chances of winning in the marketplace.

Qualifications:

• The candidate is expected to hold a Ph.D. or Master's degree in quantitative fields such as computer science, applied mathematics, statistics, physics, engineering, or finance.
• He/she should have an overall 10 years of experience in data science, statistical analysis, data analytics, and machine learning.
• They also need to possess at least 7 years of experience working in the BFSI domain in implementing data science or AI solutions from exploration to production.
• At least three years of experience in holding senior roles like team lead, managing a data scientist's team is necessary.
• They should work closely with the ML engineering or infrastructure team to help define the vision of ML training and ML inference platforms running on the cloud as well as On-prem.

Apply here for the job.

Senior Data Scientist at Adidas Group

Location: Gurgaon

Roles and Responsibilities: As a senior data scientist at Adidas Group, the candidate is expected to apply their expertise in statistics and build machine learning models to make predictions and answer key business questions. They should focus on understanding, cleaning, analyzing data from the past and present perspectives, and producing reliable predictions for the future. He/she should work on analytics, business analysis, consultancy, data modeling and design, emerging technology monitoring, programming, software development, data visualizations, etc. The candidate should maintain key relations with global IT, respective business function teams, HR management, and Digital and controlling teams.

Qualifications:

• The candidate should own a four-year college or university degree with a focus on business administration or IT or related areas, or an equivalent combination of education and expertise.
• He/she should have at least 7-year experience in IT, 5-year experience in relevant areas, and 2-years of experience in team management.
• They should have strong understanding knowledge of the regional and global market landscape and global market.
• Mandated to know about critical element management and regional project development.

Apply here for the job.

Senior Data Scientist at Happiest Minds Technologies

Location: Bengaluru

Roles and Responsibilities: Happies Minds Technologies expects the candidate to have special skills in data science, machine learning, deep learning, Python, NLP, etc. He/she should have experience in data modeling, R, SQL, and statistics. They should have the ability to deal with business problems using big data. The candidate should use his/her knowledge in data mining and machine learning techniques to utilize datasets. They should discover new opportunities where advanced analytics techniques can be leveraged for solving problems.

Qualifications:

• The candidate should have experience in programming languages like Java, C, or Python.
• He/she should possess knowledge in relational databases and SQL.
• They should have relevant experience in big data platforms like the Hadoop ecosystem.

Apply here for the job.

Data Scientist + Python + Big data at Capgemini

Location(s): Hyderabad, Chennai, Bengaluru

Roles and Responsibilities: As a data scientist at Capgemini, the candidate is expected to work with team members, leaders, and business stakeholders to identify, develop and communicate the value in new and innovative analytics use cases. He/she should lead and support analytical requirements by gathering both bottoms up and top down on various analytics initiatives across the business. They should have excellent problem-solving, analytical, program management, and organizational skills.

Qualifications:

• The candidate is mandated to own a bachelor's degree in computer science, information technology, or related field.
• He/she should have knowledge in Python with data science, machine learning, and SQL required.
• They should have experience in Python, PySpark, R, Java, HTML, CSS, Javascript, Webservices, Relational Databases, SQL, and developing APIs.
• Strong relational databases and strong SQL coding experience are necessary.
• The candidate should have the ability to deploy understand API design concepts and standards.
• They should have experience in solving problems, organize program management, and organizations skills.

Apply here for the job.

Senior Data Scientist at Amazon

Location: Bengaluru

Roles and Responsibilities: Amazon is looking for a senior data scientist who can join the company's effort to build the next-generation of analytics systems measuring marketing ROI using machine learning and econometrics at a big data scale. The candidate will work with distributed machine learning and algorithms across multiple platforms to harness enormous volumes of online data at scale to match customers and products or offers based on probabilistic reasoning. In order to effectively work with the existing team, the candidate should be fluid in data warehousing, feature extraction, feature engineering, feature selection, machine learning, causal modeling, statistical algorithms, recommenders, model evaluation, validation, deployment, etc.

Qualifications:

• The candidate should have Bachelor's or Master's degree in machine learning, information science, engineering, statistics, or any highly quantitative field with industry work experience.
• He/she should have a proven ability to relate to and solve business problems through machine learning and statistics.
• They should have at least 10-year hands-on experience developing and implementing machine learning algorithms and statistical models.
• Knowledge in programming, prototyping, and scripting skills like Oracle, SQL, Hive, Pig, SAS, R, Weka, Python, etc are mandatory.

Apply here for the job.