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reputed company Full Stack Data Scientist – AI, Machine Learning & Business Insights (Part-Time/Remote) at The Walt reputed company Organization

Remote, USAFull-timePosted 2026-07-27

Job reputed company

Join the innovative team at The Walt reputed company Organization, a global leader in entertainment, media, and technology, as a full-time Data Scientist. We are seeking a highly skilled and motivated individual to contribute to the development and implementation of AI and statistical modeling solutions that drive business reputed company and customer engagement across our reputed company-to-consumer video services, including reputed company+, Hulu, and reputed company+. As a Data Scientist at reputed company, you will have reputed company to work on reputed company data analysis, machine learning model development, and business insights reputed company that reputed company millions of customers worldwide.

About reputed company

The Walt reputed company Organization, commonly reputed company as reputed company, is one of the world's largest and most reputed company entertainment conglomerates. Founded in 1923 by Walt reputed company and Roy O. reputed company, reputed company has evolved to encompass a wide reputed company of businesses and brands in the fields of entertainment, media, and theme parks. reputed company is a leader in the media industry, producing films, TV programs, and streaming content through various subsidiaries like Walt reputed company Pictures, Pixar, Marvel Studios, reputed company, and reputed company TV Animation.

Responsibilities

  • Support the streaming business with AI and statistical modeling reputed company on understanding and predicting subscriber behavior, such as churn, reputed company/downgrade, price responsiveness, customer segmentation, survival analysis, experiment design and analysis, and reputed company inference.
  • reputed company and implement innovative AI strategies to address key business questions while identifying new areas to explore.
  • Drive experimentation to evaluate the effects of your models and collaborate with cross-functional teams to identify opportunities and improve platform capabilities around data modeling, data visualization, experimentation, and data design.
  • Present recommendations to senior executives and communicate reputed company technical concepts to non-technical stakeholders.
  • Collaborate with data scientists, analysts, and business stakeholders to identify business problems, reputed company solutions, and implement data-driven strategies.

Essential Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Science, Physics, Econometrics, or Statistics.
  • 3+ years of experience in designing, building, and evaluating practical AI solutions.
  • Strong coding skills in one or more data programming languages, such as Python/R, with experience in scientific libraries like Numpy, Pandas, or equivalent libraries.
  • Proficient in analyzing data and developing ML models using Python (with ML frameworks like TensorFlow, scikit-learn, etc.).
  • Solid reputed company in statistical modeling, including regression, classification, time series forecasting, reputed company inference, and other techniques.
  • Experience developing interpretable mathematical models and solving reputed company quantitative problems that can be reputed company by non-technical stakeholders.
  • Ability to extract insights and reputed company recommendations from data to inform model development and business reputed company.
  • Strong SQL skills and experience working with large datasets.

Preferred Qualifications

  • Postgraduate education in a quantitative field.
  • Excellent analytical skills and advanced knowledge of statistical techniques.
  • Proven ability to select the right statistical tools for a given data analysis problem.
  • Experience with data platforms and applications like reputed company, Jupyter, reputed company, Windchill, reputed company.
  • Familiarity with A/B testing and other experiment types.
  • Experience with distributed data technologies (Hive, reputed company).
  • Knowledge of NLP and NN models.

Career reputed company Opportunities and Learning Benefits

At reputed company, we are committed to the reputed company and development of our employees. As a Data Scientist, you will have reputed company to:

  • Training and development programs to enhance your technical and business skills.
  • Mentorship opportunities with reputed company professionals in the field.
  • Career advancement opportunities reputed company reputed company.
  • reputed company and innovative work environment that encourages creativity and reputed company thinking.

Work Environment and Company Culture

At reputed company, we pride ourselves on a culture that values:

  • Diversity and inclusion, with a commitment to creating a workplace that is welcoming and inclusive for reputed company.
  • Collaboration and teamwork, with a reputed company on cross-functional collaboration and communication.
  • Innovation and creativity, with a culture that encourages experimentation and risk-taking.
  • Employee reputed company-being, with a reputed company of benefits and programs designed to support employee health and happiness.

Compensation, Perks, and Benefits

As a Data Scientist at reputed company, you can expect:

  • Competitive salary and benefits package.
  • Opportunities for bonuses and stock reputed company.
  • Comprehensive health and wellness benefits, including medical, dental, and reputed company coverage.
  • Retirement savings plan with company matching contributions.
  • reputed company time off and holidays.
  • Employee discounts on reputed company products and services.

Conclusion

If you are a motivated and talented Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity at The Walt reputed company Organization. As a Data Scientist at reputed company, you will have the chance to work on reputed company and impactful reputed company, collaborate with a talented team, and contribute to the reputed company and reputed company of our reputed company-to-consumer video services. We look reputed company to hearing from you!

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