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  • The site is refreshed daily to remove out-of-date content.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.

Job Information

Nestle Senior Data Scientist in Warszawa, Poland

As the Data Science Hub Europe in Nestle, we continuously search for new talents to join our international team dedicated to delivering efficient and high-quality data solutions. In your role of a Data Scientist, you will collaborate with fellow Data Scientists , Analysts and Engineers to drive innovation and develop top-notch analytical models and methods. Your skill, competence and creativity will directly support and impact critical business decisions in areas of supply chain and marketing.

In this role you will:

• Be a key contributor and idea nurturer at each stage of the data science lifecycle, from business understanding through model development to industrialization

• Design, build and maintain statistical/machine learning models to optimize business operations

• Lead exploration and experimentation with innovative ML techniques and approaches to maximize value generated by the team

• Be a thought leader in development of methodology within big scale transformational projects

• Communicate model & analysis results to a non-technical audience that includes stakeholders and senior management, and win their buy-in

• Coach and mentor other team members on multiple aspects of a data scientist role

You are the right candidate if you bring along:

• 4+ years of professional experience building and industrializing machine learning solutions

• Proficiency in Python and its use with version control (git) and testing

• Solid knowledge of SQL, PySpark and Databricks

• Broad experience in application of ML concepts and methodologies (regression and classification, time series modeling, feature engineering and selection, regularization etc.)

• Expertise in time series / ML techniques and algorithms and their pros and cons

• Ability to reframe business challenges into data science problems and adjust ML methods & tools accordingly

• Excellent communication and presentation skills, in particular facilitation of grasping complex topics by broad audiences, incl. non-technical stakeholders

• Track record of effective collaboration with IT / data engineering teams in development and production phase

You will draw even more of our attention if you have:

• Broad familiarity with visualization tools (Power BI, R Shiny, etc.) and solutions based on them

• Experience in leading cross-functional and/or international projects

• Interest in codifying and disseminating knowledge & best practices, incl. documentation of projects

• Knowledge of other languages used in data science (R, Julia, etc) and their pros and cons

In return we offer:

• Exciting work in a multi-cultural team of bright minds – data lovers and practitioners

• Flexible remote work options, or – if your prefer – access to a modern office in Warsaw’s Mokotów, walking distance from Metro Wilanowska

• Internal training programs and access to external knowledge resources aimed at expanding your skills and competence

• Support in building your ML skills and portfolio through participation and presenting at conferences and events

• Opportunities to develop further in our Data Science Hub as well as in the international organization

• Option of full-time contract

• All kinds of juicy fringe benefits: private medical care, pension fund, cafeteria program, Multisport card, co-financing of meals in the company's canteen, discounts for Nestle products …

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