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  • The site is refreshed daily to remove out-of-date content.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

Apple Data Scientist in Austin, Texas

Data Scientist

Austin,Texas,United States

Software and Services

Apple is a place where extraordinary people gather to do their best work. If you’re excited by the idea of making a real impact, a career with Apple might be your dream job… Just be prepared to dream big! An expert in advanced analytics, you are passionate about turning data into impactful insights, and driving creative data science solutions. You are skilled at creating analytical models and interactive visualizations. You are a motivated self-starter, comfortable navigating through ambiguity to evaluate complex data, analyze data from multiple angles, build analytical workflows, to deliver findings that directly impact the business. If this describes you, then you should consider joining us.

Key Qualifications

  • 5+ Years of experience in modeling and solving large-size decision optimization problems using constraint programming, mixed integer programming, etc., and data science, machine learning, anomaly detection techniques

  • Meticulous attention to detail, data integrity, and data wrangling

  • Passionate about understanding and solving problems, drawing insights and hidden patterns from data, visualization and data storytelling

  • Skilled in Python

  • Ability to get things done, experience in delivering end-to-end projects

  • Knowledge of relational database technologies such as Snowflake, MySQL, and lightweight user interfaces like Streamlit, Tableau, ThoughtSpot, virtualization using Docker, Kubernetes

  • Ability to articulate complex AI concepts in business terms, know how to tell a story to highlight key insights, and present analysis effectively to key partners

  • High intellectual curiosity to learn and understand business needs

  • Excellent social skills to collaborate with cross-functional partners to share knowledge, communicate findings, and integrate feedback

  • Proven ability to operate comfortably and effectively in a fast-paced, highly-matrixed, rapidly changing environment

  • Demonstrated collaboration as well as leadership and influencing skills

Description

  • You have outstanding communication skills, proven data science and advanced analytics capabilities, strong business acumen, and an innate drive to deliver results - You are a self-starter, comfortable with ambiguity, and enjoy working in a fast-paced dynamic environment - Innovative and strategic approach to reporting and business analytics - Develop custom models, algorithms, and interactive visualizations to deliver Supply Chain insights - Wrangle and analyze data to identify patterns, trends, and feature engineering - Evaluate business needs through in-depth conversations with business users to understand the domain and apply data science for insights - Present key findings to leadership to evaluate business impact, in non-technical terms

Education & Experience

▪ Bachelor’s degree required in Data Science, Machine Learning, Computer Science, Mathematics or Statistics. MSc in Data Science or Operations Research

Additional Requirements

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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race,color,religion,sex,sexual orientation,gender identity,national origin,disability,Veteran status,or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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