Top data science jobs are well-paying, always in-demand, and have lots of career advancements

There's never been a better time to learn data science and enter the workforce as a data scientist. Because of the extreme inflow of big data, the data science landscape is drastically evolving and housing more professionals. Not just the tech industry, but also other sectors like healthcare, telecommunication, education, banking, manufacturing, are opening their door for data science professionals. Glassdoor has labeled data science as the second-best job in America in 2021. This marks almost a decade of data science's undying dominance in the sphere. Top data science jobs are well-paying, always in-demand, and have lots of career advancements. Besides, when an aspiring data scientist or a data science professional looks for a new job, he or she is offered a plethora of opportunities. But one thing data scientists should keep in mind is that the technology sphere is constantly evolving. Therefore, they too should be ready to gear up their talent and skills whenever needed. Beyond data scientists, people who have learned data science can take up jobs like data analyst, business intelligence analyst, data engineer, data analytics consultant, machine learning engineer, machine learning scientist, etc. Analytics Insight has listed top data science jobs to apply for this weekend.

Top Data Science Jobs to Apply Now

Senior Data Scientist at IBM

Location: Bengaluru, Karnataka

Roles and Responsibilities: As a data scientist at IBM, the candidate is expected to transform the company's clients' data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. He/she should be adept across data science techniques using open source tools to solve varied use cases of IBM clients. They work closely to build storing and enduring relationships with client staff based on innovation, trust, and service excellence. The candidate should learn emerging technologies used in the company and use them for the benefit of clients.

Qualifications:

• The candidate is mandated to have a BTech or Masters degree in Operation Research, Applied Mathematics, Statistics, Econometrics, Electrical or System Engineering, Physical, or similar highly quantitative field.
• He/she should have the talent and skill to transform business requirements into data science formulations and implement the solutions in an efficient and scalable fashion.
• A strong understanding of data science concepts, model development, etc is preferred.
• The candidate should be highly skilled in Python and various data science-related libraries of Python including TensorFlow, Keras, Sci-Kit Lean, pandas, Numpy, and PySpark.
• They should also have hands-on experience in convolutional neural networks, computer vision, etc.

Apply here for the job

Data Scientist- Assistant Manager at Genpact

Location(s): Hyderabad, Gurgaon, Bengaluru, Mumbai

Roles and Responsibilities: The data scientist cum assistant manager position based out in India focuses on enterprise-level experience for machine learning model building, validation, scoring, monitoring, etc. The candidate is expected to do analysis on back-office operations, be able to understand and translate and integrate the analysis from back-office to front-office. He/she should analyze data and provide key findings with potential, business impact. They are responsible for Model Build. The candidate should select features, build and optimize classifiers using machine learning techniques.

Qualifications:

• A in Economics or M.S in Statistics with 4+ years of relevant experience in data science and advanced analytics and overall, 5-7 years experience in data science practice is necessary.
• Prior experience in model building is also mandated.
• The candidate should have well-versed knowledge in predictive analytics, AI, and machine learning.
• He/she should be a professional in statistical testing, regression, etc.
• They should build and implement models, use and create algorithms, and run the models simultaneously using a variety of tools.

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Data Scientist at TCS

Location(s): Kolkata, Hyderabad, Pune, Gurgaon, Chennai, Bengaluru, Mumbai

Roles and Responsibilities: As a data scientist at Tata Consultancy Services, the candidate should have the ability to understand a problem statement and implement analytical solutions or techniques independently or with minimal supervision.

Qualifications:

• The candidate is mandated to have 5-8 years of experience in data science, developing analytics models using different techniques.
• He/she should have hands-on experience in programming languages like Python, PySpark, Scala, SQL, etc.
• They should have experience and knowledge in various machine learning, deep learning, text mining techniques, etc.
• The candidate should be well-versed in the areas of marketing analytics or risk analytics.

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Data Scientist at Schneider Electric India

Location: Bengaluru

Roles and Responsibilities: The selected candidate should work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. He/she should develop custom data models and algorithms to apply to datasets. They should coordinate with different functional teams to implement models and monitor outcomes.

Qualifications:

• The candidate should have 7+ years of experience in the field.
• He/she should have strong problem-solving skills with an emphasis on product development.
• They should have experience in creating and using advanced machine learning algorithms and statistics like regression, scenario, simulation, analysis, modeling, clustering, decision trees, neural networks, etc.
• Extraordinary knowledge in R, SQL, and Python and familiarity with Scala, Java, or C++ is necessary.

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Senior Data Scientist at Microsoft

Location: Bengaluru

Roles and Responsibilities: As a senior data scientist at Microsoft, the candidate will work with huge volumes of data to solve or enable solving real-world ML problems that are productized into the company's MLOps platform to be consumed by downstream applications OR become product feature OR stand-alone products. He/ she will work closely with global teams with an opportunity to create a phenomenal impact. They will combine data sciences depth, programming expertise, and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem-solving across the enterprise.

Qualifications:

• 8+ years of experience in machine learning, deep learning, etc is necessary.
• The candidate should have a Master's degree in computer science, mathematics, statistics, physics, or any related field.
• He/ she should have prior knowledge and expertise in classification, prediction, recommender systems, time series forecasting, anomaly detection, optimization, graph ML, and NLP.
• They should be able to prepare data pipelines and feature engineering pipelines to build robust models using SQL, PySpark, Azure Data Studio, etc.,

Apply here for the job