The World Economic Forum had predicted a global recession, exacerbated by geopolitical tensions like the Russia-Ukraine conflict. So far, over 2,16,910 people have been laid off, a staggering 315% increase compared to the previous year.
Amid this downturn, some companies are still interested in hiring data scientists, especially with the growing popularity of generative AI.
Microsoft
Microsoft is seeking a Data Scientist with extensive data management experience and expertise in statistical techniques. The role involves collaborating with engineers and customers to solve complex problems, analyzing data trends, and providing innovative solutions. The responsibilities include leading data-driven projects, preparing and evaluating data, applying machine learning algorithms, and presenting findings to stakeholders. The ideal candidate holds a Doctorate or Masters in relevant fields with data science experience, customer-facing project delivery, and collaboration skills. Geographical flexibility and open to travel are preferred.
Learn more about this job opportunity here.
AWS
Big tech Amazon Web Services is seeking a highly motivated data scientist to join their Infrastructure Supply Chain and Procurement team. The role involves building scalable, predictive business analytics solutions for AWS Supply Chain. The candidate should have expertise in optimisation, machine learning, and statistical modeling, with proficiency in time series forecasting and both supervised and unsupervised algorithms. Strong communication skills and the ability to work with stakeholders are essential. The candidate should have experience with inventory and network optimisation, as well as data flow solutions. Basic qualifications include more than years of data scientist experience, while Python, Perl, or other scripting language experience is preferred.
Explore further details regarding the position here.
PayPal
American financial giant PayPal is looking for a skilled machine learning scientist who can tackle impactful business challenges in consumer products. You will translate business problems into ML projects, automate data solutions with engineering collaboration, and present findings to stakeholders. Minimum qualifications include a Master’s degree in a quantitative field, over eight years of industry experience, expertise in statistical and ML algorithms, and familiarity with ML frameworks, big data, and coding in Python, Java, or Scala. Cloud experience and knowledge of personalisation and causal inferencing are advantageous.
Access more in-depth information about the job here.
PhysicsWallah
If you are interested in working in the growing edtech background, PhysicsWallah is looking for an experienced Data Scientist with over five years of experience. Primary responsibilities include guiding stakeholders on data science’s potential, analysing large data volumes, implementing solutions, and communicating results effectively. The ideal candidate possesses technical expertise, business understanding, user empathy, and mentors junior data scientists. Required skills include ML/DL model building, Java, Python, R, and shell scripting. Proficiency in querying relational, non-relational, and graph databases, along with machine learning and deep learning libraries (e.g., TensorFlow, PyTorch) is essential. Familiarity with visualization libraries and big data technologies is a plus.
Take a closer look at the job details on this link.
Airtel
Indian telecom services provider Airtel Digital has an opening for data science professional who is passionate about financial services (credit risk) with a chance to impact over 400 million consumers through ML. Responsibilities include solving complex underwriting and risk business problems, conducting A/B and multivariate hypothesis tests, and researching and implementing newer ML technologies. Applicants should have a bachelors or master’s in computer ccience or statistics or applied mathematics, three to seven years of credit risk ML experience, proficiency in Python, Tensorflow/PyTorch, PySpark, SQL, Hive, and strong coding skills.
Delve deeper into the job specifics on this site.
HP
HP’s Advanced Analytics & Economic Office seeks a senior data scientist with expertise in ML, econometrics, stats, and programming. The role involves creating analytical solutions to drive business decisions and collaborating with teams for impactful insights. Responsibilities include addressing pressing business issues, developing forecasting models, and influencing stakeholders. Minimum educational qualifications include masters or Ph.D. in economics, stats, or CS, over three years of analytical experience, knowledge of tech industry, time-series forecasting, and machine learning. Strong Python skills, SQL familiarity, problem-solving abilities, and effective communication are essential. The candidate must have a proactive attitude, curiosity, and the ability to work with cross-functional teams.
If you want to know more about the job, check out this page.
Earnest & Young
EY has an open position for a senior AI/ML data scientist that requires around five to eight years of work experience, focusing on ML and advanced analytics. AI project experience is preferred, along with client-facing roles. Key responsibilities include delivering ML/AI projects, client interactions, and mentoring. Qualifications include a B.Tech or M.Tech or PhD in Statistics, Economics, Computer Science, Robotics, or related fields. Proficiency in statistical techniques, Python or R coding, and knowledge in neural networks, deep learning are preferred. Strong communication, consulting, and project management skills are essential. The company offers a unique career-building opportunity with global support, inclusive culture, and advanced technology.
Follow this link to access more information about the position.
Google is hiring for its data science team in India focused on improving Google Search. A minimum of a bachelor’s degree in a quantitative field (e.g., statistics, data science) and at least five years of experience in analysis and coding (Python, R, SQL) are needed. Preferred qualifications include a master’s degree and experience in strategic analysis or operations management. Responsibilities include providing quantitative support, collaborating with various teams, analysing large data sets, and making business recommendations based on findings. The goal is to enhance product quality and user experience.
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