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MathWorks has a hybrid work model that enables staff members to split their time between office and home. The hybrid model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations. Learn More: https://www.mathworks.com/company/jobs/resources/applying-and-interviewing.html#onboarding. The Data Science Engineer will work in Development to support data analysis, creation of reports & dashboards, communication and training for our key data science programs. This position involves end to end data science work from identifying questions & use cases, to conducting analyses, and also helping teams understand and use data for decision-making. MathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence. Partner with Subject Matter Experts (SMEs) and Development teams to identify business questions and translate them into data-driven analyses. Leverage Agentic AI workflows to analyze, clean, and transform raw data and produce reliable datasets for reporting and modeling. Develop and maintain dashboards and reports (Power BI, MATLAB) to communicate key insights and business trends. Build statistical, machine learning, and NLP/LLM-based models to analyze both quantitative and qualitative data, understand user behavior, identify usage patterns, and answer business questions. Communicate insights clearly to technical and non-technical stakeholders and support product improvement actions. Strong knowledge of SQL, relational databases, and querying large datasets Experience programming in Python, R, or MATLAB Basic understanding of statistics, probability, machine learning, and metrics design Familiarity with data visualization tools such as Power BI or Tableau Ability to communicate technical topics to diverse audiences A bachelor's degree and 6 years of professional work experience (or a master's degree and 3 years of professional work experience, or a PhD degree, or equivalent experience) is required. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.