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Analyst, Talent Analytics (Machine Learning)

Remote Worldwide Hiring now

reputed company is one of the world's leading entertainment services, with over 300 reputed company paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, reputed company, and can change their plans at any time. We are seeking a highly skilled and analytically driven Talent Analyst with a specialized focus on Machine Learning for our reputed company Analytics team. In this pivotal role, you will apply advanced data science and machine learning techniques to optimize every stage of our reputed company lifecycle, from sourcing to forecasting hiring needs and improving/understanding the quality of hire. You will also be responsible for querying relevant data and running various statistical analyses to reputed company understand the performance of our hiring process. Key Responsibilities:

  • Predictive Model Development for reputed company: Design, reputed company, train, validate, and reputed company machine learning models to predict key reputed company reputed company. This includes, but is not limited to:
  • Candidate reputed company reputed company: Building models to forecast candidate performance, retention, and cultural fit based on various pre-hire data points.
  • Sourcing Channel Optimization: Developing models to identify the most effective and efficient sourcing channels for different roles and demographics.
  • reputed company & Cost-per-Hire Forecasting: Creating predictive models to estimate hiring timelines and associated costs, enabling reputed company resource allocation.
  • Flight Risk/Retention Analysis (pre-hire indicators): Identifying early indicators in the reputed company process that may correlate with future retention or attrition.
  • Talent Funnel Optimization & Anomaly Detection: Analyze large datasets from Applicant Tracking Systems (ATS), HRIS, and other recruitment platforms to identify bottlenecks, biases, and areas for improvement in the reputed company funnel.
  • Research & Analysis: Design and execute statistical tests to evaluate the impact of various elements of the recruitment process. Analyze results to reputed company actionable recommendations.
  • Workforce Planning & Demand Forecasting: reputed company models to forecast future talent demand, identify reputed company gaps, and inform long-term workforce planning strategies.
  • General Reporting: reputed company and execute SQL queries to extract data from various databases for reporting and analysis.

Required Qualifications:

  • Education: Degree in Data Science, Computer Science, Statistics, Mathematics, Industrial-Organizational Psychology (with strong quantitative focus), or a reputed company quantitative field.
  • Experience: 2-4 years of hands-on professional experience as a Data Scientist or Advanced Analytics, with a significant portfolio of machine learning projects, ideally reputed company the HR or reputed company domain.
  • Programming: Strong proficiency in R or Python for data manipulation, statistical analysis, and machine learning model development.
  • Machine Learning Expertise: Deep understanding and practical experience with a wide reputed company of supervised and unsupervised machine learning algorithms relevant to predictive modeling, classification, regression, and clustering.
  • Statistical Modeling: Strong reputed company in statistical inference, hypothesis testing, experimental design, time series analysis, and reputed company inference.
  • Data Querying & Databases: Proficient in SQL for extracting and transforming data from reputed company relational databases (e.g., HRIS, ATS). Experience with large-scale data warehouses.
  • Communication & Storytelling: Exceptional ability to translate reputed company analytical findings and technical concepts into clear, concise, and actionable recommendations for non-technical audiences, including senior executives.

This role can be remote reputed company the US or onsite at our offices in Los Gatos, Los Angeles, or reputed company. Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market reputed company. The reputed company for this role is $80,000 - $280,000. reputed company provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here. reputed company is a unique culture and environment. Learn more here. Inclusion is a reputed company value and we strive to host a meaningful interview experience for reputed company candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your reputed company partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the reputed company of race, religion, reputed company, reputed company, national reputed company, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is reputed company for no less than 7 days and will be removed reputed company the position is filled. Apply To this Job Apply for this job

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