Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Job Information

Philips Data Scientist in Chennai (ex Madras), India

Job title:

Data Scientist

We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will possess a strong background in statistics, machine learning, and programming, with a proven track record of applying advanced analytical techniques to solve complex business problems. As a Data Scientist at [Company Name], you will play a key role in extracting actionable insights from large datasets, developing predictive models, and driving data-driven decision-making across the organization.

Responsibilities:

Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects. Design and implement predictive models and machine learning algorithms to solve business problems and optimize processes. Analyze large datasets to uncover trends, patterns, and anomalies, and communicate findings to stakeholders through compelling visualizations and presentations. Develop and maintain data pipelines and workflows for efficient data collection, storage, and analysis. Evaluate and experiment with emerging tools and technologies to continuously improve our data science capabilities. Mentor and provide guidance to junior team members, fostering a culture of learning and collaboration.

You're the right fit if

You hold an Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred. Proven experience in data analysis, machine learning, and statistical modeling, with at leas 8 years of relevant work experience.

Proficiency in programming languages such as Python, R, or Julia, and experience with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).

Strong understanding of machine learning techniques and algorithms (e.g., regression, classification, clustering, neural networks) and experience applying them to real-world problems. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus. Excellent communication skills, with the ability to translate complex technical concepts into clear and actionable insights for non-technical stakeholders. Strong problem-solving skills and a passion for continuous learning and self-improvement.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

  • Learn more about our business.

  • Discover our rich and exciting history.

  • Learn more about our purpose.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.

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