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Oracle is hiring for an entry level Data Scientist role in US



Position:

  • Data Scientist 2

  • Individual contributor role focused on data experimentation, analytics, and algorithm development

  • Requires a strong foundation in statistical analysis, machine learning, and software engineering

Company:

  • Oracle America, Inc.

  • A global technology company recognized for its cloud platform and enterprise solutions

  • Known for innovation, integrity, and long-standing partnerships across industries

Location:

  • Burlington, Massachusetts, United States

  • Hybrid/Remote flexibility available depending on project needs

  • Offers proximity to Oracle’s East Coast operations hub

Job type:

  • Full-time regular employee position

  • Permanent role with long-term career growth opportunities

  • Includes full-time benefits, perks, and corporate resources

Job mode:

  • On-site with telecommute flexibility

  • Mostly remote interactions with teams, but occasional on-premise collaboration may be required

Job requisition id:

  • 292441

Years of experience:

  • No specific years mentioned; as per JD looks like 0-3 years

  • Skills-based evaluation with a preference for candidates with demonstrated expertise in relevant tools and techniques


Company Description

  • Oracle is a pioneering force in enterprise technology with over four decades of legacy in software and hardware innovation

  • Operates in more than 175 countries, delivering cloud infrastructure, applications, and platforms to millions of users

  • Known for fostering transformative partnerships across sectors including finance, telecom, healthcare, and government

  • Focuses on ethical innovation, sustainability, and creating equitable opportunities for people worldwide

  • Offers an inclusive workplace where people from all backgrounds can thrive, contribute, and lead initiatives

  • Encourages diversity, equity, and inclusion through targeted hiring practices, employee resource groups, and career development pathways

  • Invests heavily in research and development to remain at the cutting edge of AI, ML, and data science initiatives

  • Builds and deploys technologies that help businesses automate processes, enhance productivity, and improve decision-making


Profile Overview

  • This position is ideal for data professionals passionate about solving complex analytical challenges using innovative approaches

  • The Data Scientist 2 will be responsible for collaborating with Oracle’s product and service teams to drive data-driven strategies

  • Expected to handle large-scale data ingestion, transformation, and cleansing to produce reliable insights

  • Will support strategic product enhancements by designing and conducting data experiments and simulations

  • Involves the creation and implementation of algorithms and machine learning models to uncover hidden patterns in vast data landscapes

  • Acts as a bridge between data engineering and business decision-makers by interpreting and presenting findings clearly

  • Candidates must be proficient in coding, data visualization, and statistical modeling across structured and unstructured datasets

  • Successful applicants will work in a fast-paced environment where curiosity, initiative, and collaboration are valued


Qualifications

  • A Master's degree in Computer Science, Data Science, Engineering, or a similar technical field is a minimum requirement

  • Must demonstrate advanced understanding of the following core competencies:

    • Statistics - Ability to apply statistical tests and methods for hypothesis evaluation and model validation

    • Machine Learning - Hands-on experience with classification, regression, clustering, and anomaly detection models

    • Data Analytics - Ability to explore, interpret, and summarize data to inform decisions and drive innovation

    • Data Mining - Proficiency in identifying patterns and trends from both structured and unstructured data sources

    • Optimization - Familiarity with algorithms for improving processes, predictions, or system efficiencies

    • Programming Languages - Must be well-versed in Python, Java, and SQL for building scalable analytics solutions

  • Candidates should be able to build clean, reusable code and automate workflows for repeatable analyses

  • Excellent communication skills to articulate data insights to technical and non-technical stakeholders


Additional Info

  • Visa and work permit sponsorship is not available for this role, so applicants must have valid authorization to work in the US

  • Fluency in English (read, write, and speak) is mandatory

  • The compensation range is from $69,000 to $158,200 annually depending on experience, location, and internal equity considerations

  • Eligible employees may also receive bonus payouts and equity shares based on individual and team performance

  • Comprehensive benefits package includes:

    • Medical, dental, and vision insurance options

    • Short-term and long-term disability coverage

    • Basic and supplemental life insurance (including for dependents)

    • Health and dependent care flexible spending accounts

    • Pre-tax commuter and parking benefits

    • Access to a 401(k) plan with company matching contributions

    • Paid time off (PTO), including:

      • 13 vacation days in the first 3 years

      • 18 vacation days after 3 years

      • 11 company-paid holidays annually

      • 72 hours of paid sick leave each year (can carry forward up to 112 hours)

      • Paid parental leave and adoption assistance

    • Employee stock purchase plan with preferred pricing

    • Legal and financial counseling services

    • Additional voluntary benefits like auto, pet, and home insurance

  • Oracle is committed to accessibility and provides support for candidates needing accommodations throughout the application process

  • Equal Opportunity Employer: Oracle values diversity and does not discriminate on any legally protected basis

  • Applications for this role will remain open for a minimum of three calendar days from the posting date

  • Internal career mobility is encouraged, with ample learning and mentorship resources available for continued growth


Please click here to apply.


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