Overview
The role of a Data Scientist is one of the fastest-growing jobs in the United States and globally. For instance, the job scope for the field of Data Science has grown by 6.5 times in the United States. Machine Learning Engineer is at the top of the list in the U.S. as well, experiencing a massive 980% increase. There are way more Data Science and Big Data professionals than we had even during these periods of extreme flourishment in IT. This is especially due to the massive increase in the reliance on big data and the dependency on Data Science for operations of all kinds.
By learning the different techniques and tools associated with Data Science, you can cater to these highly specialized requirements:
- Data-Driven Decision Making
- Data System Development, Design, and Architecture
- Data Analytics
- Core Data Science and Advanced Analysis
- Analytics Management and Performance Management
- Operations and Project Management with Functional Analytics
Here are 3 main reasons why you should consider gaining more knowledge in Data Science:
- Step 1: Become interested in Data Science and the tools associated with the field.
- Step 2: Join an undergraduate degree relevant for Data Science (CS or IT-centric) or pursue a postgraduate program focused on Data Science.
- Step 3: If you have finished your degree already, you can start taking courses for tools and specific skills that you want to learn in Data Science.
- Step 4: Engage in projects, deploy your own projects or join an internship.
- Step 5: Finally, apply for jobs after preparing yourself for the interviews and technical rounds.
Data scientists require a broad set of skills to carry out their daily responsibilities. Some of them are:
- Mathematics and Algorithms
- Statistics and Statistical Tools such as SAS
- Programming Languages such as Python and R (If you want to develop systems, not absolutely required for business analytics but will be helpful in analytics as well.)
- Excel, Microsoft Power BI, or Tableau
- DBMS (RDBMS) and Database Management
- Data Mining and Data Warehousing
- Data Cleaning
- SQL and databases such as MySQL or MariaDB (Even MongoDB or NoSQL is great)
- Hadoop and Hadoop SPARK
- Machine Learning and ML algorithms (Supervised and unsupervised)
- Deep Learning and concepts such as NLP and Artificial Neural Networks
- Data visualization, forecasting, and reporting
- Analysis and Analytics
- Business Communications
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Instructors
Learn from India’s leading Data Science faculty and industry leaders
Hindol Basu
CEO
An alumnus of IIT and IIM with over 13 years of experience in analytics with industry leaders such as the CitiGroup, Tata Industries, etc.
Chandrashekar Ramanathan
Dean - Academics
Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
S. Anand
CEO
A gold medallist from IIM Bangalore, an alumnus of IIT Madras and London School of Business, Anand is among top 10 data scientists in India with 20 years of experience.
Tricha Anjali
Associate Dean
Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay. Her research interests include computer and wireless networks.
Sameer Dhanrajani
Co-Founder & CEO
An AI and Analytics evangelist for Fortune 500 companies who has won several industry awards in the field of analytics
Prof. S. Sadagopan
Director
Prof. Sadagopan is currently the Director (President) of IIIT Bangalore. He has an M.S. and a Ph.D. from Purdue University as well as a B.E. (Hons.) degree from Madras University.
Ujjyaini Mitra
Head of Analytics
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience
Prof. G. Srinivasaraghavan
Professor
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies as well as several other Fortune 500 companies.
Ankit Jain
Sr. Research Scientist
An alumnus of IIT Bombay, UCB and Harvard Business School with over 9 years of experience
Dinesh Babu Jayagopi
Associate Professor
Prof. Dinesh has a Ph.D. from Ecole Polytechnic Federate Switzerland, M.Sc. from IISc Bangalore in System Science and Signal Processing and a B.Tech. from Madras Institute of Technology
Kalpana Subbaramappa
Ex-AVP
Kalpana is the ex-AVP of Decision Sciences at Genpact with over 20 years' experience.
Mirza Rahim Baig
Lead Business Analytics
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains
Sajan Kedia
Lead Data Scientist (Pricing)
An alumnus of IIT with over 7 years of experience at Watson at IBM Research, startups & Myntra
Notes
Regardless of where you are, a simple search can show you the huge number of available jobs for Data Science professionals. This is especially true for Data Scientists in the U.S., as it is one of the fields with the highest demand and immense scope for growth. According to Indeed, Data Scientists earn an average salary of $119,277 in the U.S. per annum based on the salaries of around 2600 Data Scientists from the United States of America. The job role of a Data scientist is one of the most popular jobs in the United States currently, at least according to LinkedIn’s job reports. According to the 2020 U.S. Emerging Jobs Report, the hiring for these job roles increased by about 35%.
Going by the predictions provided by IBM, the number of job openings in the United States has increased to more than 2,720,000 now. Also, the big data market is projected to reach a market value of more than $103 billion by 2027, a huge chunk of which will be generated from the United States.
According to the US Bureau of Labor Statistics, Data Scientists and other Information research scientists will expect a growth of 22% in their respective fields between 2020 to 2030. This is the highest growth rate among all occupations and fields.
When we think about Data Scientists, we actually mean a variety of job roles that require the applications of Data Science.
Here are the top career paths for Data Scientists and the associated salaries (PayScale) in the United States of America:
1. Machine Learning Engineer
Machine learning engineers design, build, operate and maintain machine learning models or systems that get better while performing tasks. They source the data required for training Machine Learning systems and developing ML algorithms for training the models to operate without human supervision.
Salary: $121,018 on average per annum.
2. Data Architect
Data Architects evaluate and analyze a company’s data needs and then figuring out how to source the data efficiently. These professionals are also involved with designing the database systems and ensuring effective database management. Data Architects must be proficient in DBMS systems (mainly RDBMS), cloud computing, database designing, data migration, and data warehousing.
Salary: A median salary of $147,547 annually.
3. Data Scientist
This is one of the most desirable job roles in the U.S., with ample career scope and numerous options for a career change. Data Scientists can work on unstructured data and conduct statistical analysis to extract insights. They require a wide variety of skills, ranging from statistics, mathematics, database administration to visualizing, predicting, and reporting.
Salary: $96,480 on average annually.
A few other popular career paths for Data Scientists and their corresponding average or median salaries:
- Data Analyst: $78,353 annually
- Business Analyst: $77,854 annually
- Statistician: $75,156 annually
- Full-stack Developer: $96,898 annually
- Business Intelligence Developer: $94,189 annually
- Business intelligence Analyst: $77,854 annually
- Data Engineer: $92,503 annually
The global market for Data Science is only increasing. As per the latest stats, this field will expand at a CAGR of 26.9% till 2027, thus creating more unique job opportunities in the upcoming years.
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Vibhor Srivastava
The PGD-DA course from upGrad and IIIT-Bangalore has been a boon for me and it has helped enhance my skills in Excel, SQL, R, etc.
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Rutuja Mowade
It doesn’t matter what your previous working background is, as everything is taught from the basics.
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Group case studies really give a sense of teamwork, as it happens in regular classroom studies. It teaches us coordination and right attitude as a team player in meeting all the deadlines.
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They will prepare you how to face Data Science job interviews. Along with this, upGrad will also provide mock interviews and mock mcqs tests to check your capability for the interviews.
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Frequently Asked Questions
Program Curriculum & Learning Experience
How good is the Data Science Course from IIIT Bangalore?
upGrad PG Diploma in Data Science Program is in collaboration with IIIT-B. At upGrad we have empowered 12,600+ students in various fields ranging from Machine learning to Data Science to Data Analytics. More than 500 learners have had a successful transition with 72 LPA as the highest salary. Once the program is over you will have job opportunities in various roles such as Machine Learning Engineer, Data Engineer, Data Scientist, Data Analyst, etc.
How are placements & career support after PG Diploma in Data Science?
upGrad arranges hiring drives for our learners from every field, including the Data Vertical. So far, upGrad has empowered 12,600+ students in the field of Data Science. Specifically in the data Science program from IIIT-B, over 500 learners have had a successful career transition with the highest salary of 72 LPA and an average salary hike of 58%. Our students are working with top organisations like KPMG, Huron Consulting Group, Tata Consultancy, Tata Motors, Wipro, Accenture, Time Inc. and many more.
What are the important features upGrad's Data science program?
- Student Mentor Support With the constant support and motivation, studying for the program becomes very easy. They will be available to solve all your non-technical queries. Peer to Peer Interaction.
- Through our interactive and fun-filled basecamps, live sessions, and career-building workshops which are held by industry professions you will get to participate in group activities along with your peers with a similar profile as yours.
- 5 Unique Specialisations You can select from 5 specialisations as per your background and career aspirations. You will also get a PG Diploma in Data Science from IIIT-B with a specialisation.
- Dedicated Career Assistance Receive personalised career counseling sessions along with mock interviews with hiring managers. We have more than 300+ hiring partners which can help in enhancing your career.
What is the future of Data Science in the USA?
Data-driven decision making is the need of the hour. Companies that have not switched to it will soon be looking for ways to make use of their data. Those who are already utilizing it will keep doing so, and keep finding novel ways. In that sense, the future of Data Science is extremely bright. The USA being the home to so many industry giants (across different industries) will also see a constant (if not increasing) demand for data scientists in the coming years.
What is the salary trend for Data Science in the USA?
The final salary that you get will depend on a number of factors like your experience, education, skill set, role, organization, and a few more. That aside, we can see the Data Science salaries in the USA range from $90K to $200K. This figure will also depend on your location of work!