149 Lead Data Scientist jobs in Los Angeles

Join Disney's Direct to Consumer Experimentation and Causal Inference Data Science team as a Lead Data Scientist, where you'll transform complex data into strategic business decisions that shape the future of streaming entertainment. Collaborating closely with cross-functional partners across the Business, you'll architect and execute sophisticated experiments that optimize every aspect of the subscriber journey-from initial acquisition through long-term retention and revenue growth.

As part of Disney's rapidly evolving streaming ecosystem, you'll tackle complex business challenges that directly impact millions of subscribers across Disney+, Hulu, and ESPN. Your insights will shape Product roadmaps, pricing strategies, and user experience optimizations that drive measurable business growth.

What You'll Do

• Design and Execute Experiments : Lead end-to-end A/B testing initiatives and Geo Experiments, from hypothesis formation and experimental design to statistical analysis and business recommendations

• Apply Causal Inference Methods : Leverage advanced techniques including difference-in-differences, instrumental variables, propensity score analysis, and other quasi-experimental designs to extract actionable insights from observational data

• Build Scalable Solutions : Develop experimentation and causal inference tools and frameworks that can scale across Disney's businesses

• Deliver Strategic Insights : Partner with stakeholders to identify optimization opportunities and translate complex analytical findings into clear business recommendations

• Drive Innovation : Be a thought leader on robust and rigorous analysis throughout the Data Intelligence and Analytics team

• Influence Executive Decisions : Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders

Minimum Qualifications

• Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study

• 7+ years of experience conducting strategic analyses and communicating insights to drive decision-making.

• Expertise in Python, R, or similar languages, including experience building software packages for statistical analysis.

• Expertise in SQL.

• Proficient in analyzing data and developing ML models using Python (with ML frameworks like LGBM, scikit-learn, etc.).

• Strong background in statistical modeling: regression,classification, time series forecasting, causal inference, and other techniques.

• Highly collaborative with excellent written and verbal communication skills and demonstrated experience presenting directly to Executive stakeholders

• Demonstrated ability to translate complex data into clear and actionable narratives, and the ability to communicate opportunities and challenges to multiple stakeholders.

• Robust knowledge of causal inference approaches such as propensity scores, synthetic controls, difference-in-differences, doubly robust methods, meta learners, and uplift modeling.

• Deep understanding of assumptions required for causal inferences, including the foundational statistical concepts that underpin the approaches.

• Proven ability to manage end-to-end experimentation and causal inference analyses, from initial requirements to impactful outcomes.

• Exceptional curiosity and a drive for insights that impact business outcomes.

Preferred Qualifications

• Masters or PhD in quantitative field with an emphasis on experimentation or causal inference.

• Experience applying strategic thinking to analyze market trends and consumer insights, with preference for candidates who have worked with subscription-based business models.

• Ability to adapt quickly in a fast-moving environment with shifting priorities.

• Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, and Github.

#DISNEYANALYTICS

#DISNEYTECH

The hiring range for this position in Santa Monica, CA and Glendale, CA is $152,200 - $04,100 per year, in NYC area is 159,500- 213,900, and in San Francisco area 166,800- 223,600. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job ID:

Location: Santa Monica,California

Job Posting Company: Disney Direct to Consumer

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Join Disney's Direct to Consumer Experimentation and Causal Inference Data Science team as a Lead Data Scientist, where you'll transform complex data into strategic business decisions that shape the future of streaming entertainment. Collaborating closely with cross-functional partners across the Business, you'll architect and execute sophisticated experiments that optimize every aspect of the subscriber journey-from initial acquisition through long-term retention and revenue growth.
As part of Disney's rapidly evolving streaming ecosystem, you'll tackle complex business challenges that directly impact millions of subscribers across Disney+, Hulu, and ESPN. Your insights will shape Product roadmaps, pricing strategies, and user experience optimizations that drive measurable business growth.
**What You'll Do**
+ **Design and Execute Experiments** : Lead end-to-end A/B testing initiatives and Geo Experiments, from hypothesis formation and experimental design to statistical analysis and business recommendations
+ **Apply Causal Inference Methods** : Leverage advanced techniques including difference-in-differences, instrumental variables, propensity score analysis, and other quasi-experimental designs to extract actionable insights from observational data
+ **Build Scalable Solutions** : Develop experimentation and causal inference tools and frameworks that can scale across Disney's businesses
+ **Deliver Strategic Insights** : Partner with stakeholders to identify optimization opportunities and translate complex analytical findings into clear business recommendations
+ **Drive Innovation** : Be a thought leader on robust and rigorous analysis throughout the Data Intelligence and Analytics team
+ **Influence Executive Decisions** : Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders
**Minimum Qualifications**
+ Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study
+ 7+ years of experience conducting strategic analyses and communicating insights to drive decision-making.
+ Expertise in Python, R, or similar languages, including experience building software packages for statistical analysis.
+ Expertise in SQL.
+ Proficient in analyzing data and developing ML models using Python (with ML frameworks like LGBM, scikit-learn, etc.).
+ Strong background in statistical modeling: regression,classification, time series forecasting, causal inference, and other techniques.
+ Highly collaborative with excellent written and verbal communication skills and demonstrated experience presenting directly to Executive stakeholders
+ Demonstrated ability to translate complex data into clear and actionable narratives, and the ability to communicate opportunities and challenges to multiple stakeholders.
+ Robust knowledge of causal inference approaches such as propensity scores, synthetic controls, difference-in-differences, doubly robust methods, meta learners, and uplift modeling.
+ Deep understanding of assumptions required for causal inferences, including the foundational statistical concepts that underpin the approaches.
+ Proven ability to manage end-to-end experimentation and causal inference analyses, from initial requirements to impactful outcomes.
+ Exceptional curiosity and a drive for insights that impact business outcomes.
**Preferred Qualifications**
+ Masters or PhD in quantitative field with an emphasis on experimentation or causal inference.
+ Experience applying strategic thinking to analyze market trends and consumer insights, with preference for candidates who have worked with subscription-based business models.
+ Ability to adapt quickly in a fast-moving environment with shifting priorities.
+ Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, and Github.
#DISNEYANALYTICS
#DISNEYTECH
The hiring range for this position in Santa Monica, CA and Glendale, CA is $152,200 - $04,100 per year, in NYC area is 159,500- 213,900, and in San Francisco area 166,800- 223,600. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
**Job ID:**
**Location:** Santa Monica,California
**Job Posting Company:** Disney Direct to Consumer
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Our client, a global leader in agricultural technology and innovation, is seeking a highly skilled and visionary Lead Data Scientist to drive insights from vast datasets within the agriculture and forestry sectors. This critical role is based in the bustling metropolis of Los Angeles, California , and requires an on-site presence.

The ideal candidate will hold a Master's or Ph.D. in Data Science, Statistics, Computer Science, Agricultural Science, or a related quantitative field. A minimum of 7-10 years of experience in data science, with a significant focus on applying advanced analytical techniques to agricultural or environmental data, is essential. Proven experience in leading data science projects and mentoring junior team members is required. You must possess a strong command of statistical modeling, machine learning algorithms, predictive analytics, and data visualization techniques. Proficiency in programming languages such as Python or R, and experience with big data technologies (e.g., Spark, Hadoop) and SQL is mandatory.

Responsibilities will include developing and implementing sophisticated analytical models to optimize crop yields, predict disease outbreaks, manage resource allocation (water, fertilizer), and improve forestry management practices. You will work with diverse data sources, including satellite imagery, sensor data, weather patterns, and soil data, to derive actionable insights. Collaborating closely with agronomists, researchers, and business stakeholders to understand their needs and translate them into data-driven solutions will be key. The ability to communicate complex findings clearly and effectively to both technical and non-technical audiences through reports and presentations is critical. This role demands a passion for leveraging technology to solve complex challenges in sustainable agriculture and forestry. You will be instrumental in shaping the future of food production and natural resource management through data-driven innovation. This is an unparalleled opportunity to make a tangible impact on global food security and environmental sustainability.

Our client is seeking a visionary Lead Data Scientist to spearhead innovative AI and Machine Learning research initiatives. This fully remote position offers the opportunity to work from anywhere in the US, collaborating with a globally distributed team of brilliant minds. The ideal candidate will have a deep passion for pushing the boundaries of artificial intelligence, a strong academic background, and extensive experience in developing and deploying cutting-edge ML models. You will play a pivotal role in defining the future of our data-driven products and services.

Responsibilities:

• Lead the research and development of advanced AI/ML algorithms and models to address complex business challenges.
• Design and implement machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation.
• Develop and optimize deep learning architectures for areas such as natural language processing, computer vision, and predictive analytics.
• Conduct rigorous experimentation to validate hypotheses, assess model performance, and identify areas for improvement.
• Stay at the forefront of AI/ML research by reading academic papers, attending conferences, and contributing to the broader scientific community.
• Mentor and guide junior data scientists, fostering a collaborative and innovative research environment.
• Translate complex research findings into actionable insights and recommendations for product teams and stakeholders.
• Collaborate with software engineers to deploy ML models into production systems.
• Define research roadmaps and identify new opportunities for AI/ML application.
• Present research findings and project progress to executive leadership and technical teams.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 5+ years of hands-on experience in data science and machine learning research and development.
• Proven expertise in statistical modeling, machine learning algorithms (e.g., deep learning, reinforcement learning, supervised/unsupervised learning), and MLOps.
• Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, Scikit-learn) and R.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of mathematics, statistics, and linear algebra.
• Excellent problem-solving skills and the ability to tackle ambiguous and complex challenges.
• Exceptional communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Demonstrated ability to lead research projects and mentor junior team members.
• A strong publication record in top-tier AI/ML conferences or journals is a significant plus.

This is a fully remote role, offering unparalleled flexibility. If you are passionate about AI/ML and eager to make a significant impact, we encourage you to apply. This role is focused on research and development and is ideally suited for individuals who thrive in a remote-first environment.

Our client, a rapidly growing FinTech company, is looking for an exceptional Lead Data Scientist specializing in AI/ML to join their fully remote team. This is a groundbreaking opportunity to shape the future of our data-driven products and strategies from anywhere in the US. As a Lead Data Scientist, you will be instrumental in designing, developing, and deploying sophisticated machine learning models that drive significant business value. Your expertise will span data mining, statistical modeling, and advanced machine learning techniques to solve complex problems in areas such as fraud detection, customer segmentation, and predictive analytics. You will lead a talented team of data scientists, providing technical guidance, mentorship, and strategic direction. The role requires a deep understanding of data pipelines, big data technologies, and cloud platforms. You will collaborate closely with product managers, engineers, and business stakeholders to translate business needs into data science solutions. This is a remote-first position, demanding excellent communication and collaboration skills, as well as the ability to work independently and manage your time effectively in a distributed team environment. We are seeking a visionary leader with a proven track record of delivering impactful AI/ML solutions and a passion for pushing the boundaries of data science.

Key Responsibilities:

• Lead the end-to-end development and deployment of machine learning models and AI solutions.
• Design and implement advanced statistical and ML algorithms for various business applications.
• Mentor and manage a team of data scientists, fostering a culture of innovation and technical excellence.
• Collaborate with engineering teams to build robust data pipelines and ML infrastructure.
• Work with product and business stakeholders to define project requirements and deliver actionable insights.
• Evaluate and benchmark model performance, ensuring scalability and accuracy.
• Stay at the forefront of AI/ML research and identify opportunities for adoption.
• Develop and maintain documentation for models, algorithms, and processes.
• Present complex findings and recommendations to technical and non-technical audiences.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 8+ years of experience in data science and machine learning, with at least 2 years in a lead or management role.
• Expertise in programming languages such as Python or R, and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Proven experience in deploying ML models into production environments.
• Excellent understanding of statistical modeling, experimental design, and A/B testing.
• Strong communication, collaboration, and leadership skills suitable for a remote environment.
• Experience in the financial services or FinTech industry is a plus.

Our client is seeking a highly skilled and innovative Lead Agricultural Data Scientist to drive advancements in modern farming techniques. This is a fully remote position, offering the flexibility to work from any location. The ideal candidate will possess a strong background in data science, machine learning, and statistical modeling, with a deep understanding of agricultural applications. You will lead the development of cutting-edge data-driven solutions to optimize crop yields, improve resource management, and enhance the efficiency of agricultural operations. This role involves collaborating with agronomists, researchers, and technology experts to translate complex agricultural challenges into actionable data insights.

Key responsibilities include designing and implementing advanced analytical models to interpret large datasets from various sources, including sensor networks, satellite imagery, and historical yield data. You will develop predictive models for weather patterns, disease outbreaks, and optimal planting/harvesting times. The Lead Agricultural Data Scientist will be responsible for managing data pipelines, ensuring data quality, and exploring new data sources for agricultural insights. You will also mentor junior data scientists, present findings to stakeholders, and contribute to the strategic direction of data science initiatives within the organization. This role requires a proactive approach to identifying opportunities for data-driven innovation in the agricultural sector.

Qualifications include a Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Agricultural Science with a strong quantitative focus, or a related field. A minimum of 7-10 years of experience in data science, with a significant portion focused on agricultural applications or similar complex biological systems, is required. Proven expertise in machine learning algorithms, statistical modeling, and data visualization tools is essential. Proficiency in programming languages such as Python or R, and experience with big data technologies (e.g., Spark, Hadoop) are mandatory. Strong understanding of agricultural practices and challenges is highly desirable. Excellent communication, leadership, and problem-solving skills are critical for collaborating effectively in a remote team environment and translating technical findings for a diverse audience. This is a pioneering opportunity to shape the future of agriculture through data and technology.

**THE COMPANY**
**Silvus Technologies** is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever-evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide the vital communications for mission critical applications in the harshest environments from underground tunnels to high altitude balloons.
Silvus StreamCaster® radios are being rapidly adopted by customers all over the world ranging from the U.S Departments of Defense, to International, Federal, State and Local Law Enforcement agencies, all the way to the Super Bowl, Grammys and industry-leading drone, robot, and other unmanned systems manufacturers.
_Wouldn't you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of "_ Keeping Our Heroes Connected ( _"?_
Silvus' rapid growth is fueled by a focus on research and innovation and a team of the most passionate, skilled, and creative thinking individuals. _If you are looking for a challenging experience, you owe it to yourself to learn how Silvus can provide a rewarding opportunity that creates a pathway to a fulfilling career._
THE OPPORTUNITY
Silvus is seeking a **_Machine Learning Engineer_** with a strong background in wireless communications to join our innovative _R&D team_ . This role will report to the _R&D Director, Machine Learning_ and will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems. The successful individual in this role will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.
This position is based at Silvus Technologies' headquarters in the heart of vibrant **West Los Angeles,** **CA** and is on a hybrid schedule; a minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.
The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.
ROLE AND RESPONSIBILITIES
+ Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
+ Analyze real-world RF datasets to extract insights and develop predictive models.
+ Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack.
+ Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models.
+ Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
+ Participate in performance benchmarking and iterative improvement cycles.
+ Stay current with the latest Machine Learning research for wireless and embedded systems.
REQUIRED QUALIFICATIONS
+ M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
+ Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
+ Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
+ Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
+ Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
+ Proficiency in MATLAB or C/C++ for signal processing algorithm development.
+ Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire.
+ **Must be a U.S. Citizen** due to clients under U.S. government contracts.
PREFERRED KNOWLEDGE, SKILLS AND ABILITIES
+ Excellent communication and collaboration skills.
+ Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.
+ Familiarity with embedded ML, real-time systems, or deploying ML on edge devices.
+ Background in adaptive modulation, beamforming, or cognitive radio techniques.
+ Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
+ Experience with GPU acceleration or model optimization for constrained environments.
WORKING CONDITIONS & PHYSICAL REQUIREMENTS
+ Office environment.
+ Outdoor environment for demos.
+ Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
+ While performing the duties of this job, the employee is required to do the following:
+ Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
+ Perform bending and reaching movements to place items on lower and higher shelves.
**COMPENSATION**
_The pay range is NOT a guarantee. It is based on market research and peer data, and will vary depending on the candidate's experience and qualifications._
CA Pay Range
$120,000-$160,000 USD
**NOTE - As a U.S. Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements are needed for some Engineering or R&D roles. This generally does NOT apply to International positions; only job postings for positions located in the U.S. Exceptions will be included in the Required Qualifications section of the posted position.**
**_All Employment is contingent upon the successful clearance of a background check._**
Silvus is proud to be an equal-opportunity employer, and we value diversity. We do not discriminate on the basis of race, color, age, religion or belief, ancestry, national origin, sex (including pregnancy), sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, physical or mental disability, protected veteran status, genetic information, political affiliation, or any other factor protected by applicable federal, state, or local laws.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.
_*Silvus does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to Silvus Technologies._

**Disney Entertainment and ESPN Product & Technology**
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
Here are a few reasons why we think you'd love working here:
+ **Building the future of Disney's media:** Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
+ **Reach, Scale & Impact:** More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News.and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally.
+ **Innovation:** We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.
Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.
**Disney Entertainment and ESPN Product & Technology** team is looking for a passionate **Lead Machine Learning Engineer** to drive the security and operation anomaly detection initiatives within the **Commerce, Data,** **and Identity Alliance.**
We're seeking experienced ML engineers to lead on developing and deploying machine learning models that help reduce the security and operation risk for our services. In this role, you'll work with teams across commerce, growth, and identity to leverage machine learning solutions that enhance the security posture of our services.
This team is based out of the New York and the Santa Monica offices, and you will be a key leader helping drive the ML initiatives across the team. You will have an opportunity to learn about the various security challenges of a streaming organization.
**Responsibilities**
+ Design, build, and optimize machine learning models that improve our security posture.
+ Manage the full lifecycle of ML development, including data collection, feature engineering, model selection, evaluation, and production.
+ Collaborate with engineers to deploy models at scale, ensuring robust A/B testing frameworks to assess the impact on key business metrics.
+ Lead exploratory analyses and complex statistical modeling to deliver actionable insights that inform high-stakes business decisions.
+ Translate complex data into clear and actionable insights through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.
+ Drive data-informed decision-making by presenting findings that highlight security implications.
+ Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities.
+ Mentor and grow a high-performing team of data scientists, creating an environment that encourages learning and innovation.
**Minimum Qualifications**
+ Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master's degree or PhD is a plus.
+ 7+ years of experience in building, deploying, and evaluating real-world machine learning solutions.
+ Proficiency in Python, R, SQL, and other relevant programming languages.
+ Experience with data wrangling tools (e.g., Pandas, NumPy), databases (e.g., MySQL, PostgreSQL), and big data platforms (e.g., Spark, Databricks, Jupyter, Snowflake, Airflow, GitHub).
+ Expertise in ML libraries such as scikit-learn, SciPy, and related technologies.
+ Strong foundation in statistics, probability, and data modeling techniques.
+ Excellent problem-solving, communication, and collaboration skills.
**Preferred Qualifications**
+ Experience working with Amazon Web Services.
+ Experience with Tableau, Power BI, or similar platforms.
+ Experience building anomaly detection models.
+ Knowledge of software security.
The hiring range for this position in Los Angeles is $202,900 to $72,100 per year, in San Francisco is 222,200 to 297,900 per year, and in New York or Seattle is 212,600 to 285,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
**Job ID:**
**Location:** Glendale,California
**Job Posting Company:** Disney Entertainment and ESPN Product & Technology
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Our client is seeking a highly accomplished Senior Machine Learning Engineer to join their innovative and fast-paced team, working entirely remotely. This role is central to developing and deploying cutting-edge machine learning models that drive significant business value across our product lines. You will be responsible for the end-to-end lifecycle of ML models, from data acquisition and feature engineering to model training, validation, deployment, and monitoring. The ideal candidate will have a deep understanding of various ML algorithms, strong programming skills in Python, and extensive experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is essential. Your responsibilities will include architecting scalable ML systems, optimizing model performance, and collaborating closely with data scientists and software engineers to integrate ML solutions into production environments. You will play a key role in identifying new opportunities for leveraging AI and ML to solve complex business problems. We are looking for a proactive problem-solver with exceptional analytical skills, a passion for applied machine learning, and the ability to lead complex projects in a fully remote setting. Strong communication skills are vital for collaborating effectively with cross-functional teams and articulating technical concepts to stakeholders. Join us to build the next generation of intelligent products and shape the future of AI.

Responsibilities:

• Design, build, and deploy machine learning models and pipelines.
• Develop and maintain scalable ML systems on cloud platforms.
• Perform data preprocessing, feature engineering, and model training.
• Optimize model performance, accuracy, and efficiency.
• Implement MLOps practices for model deployment, monitoring, and lifecycle management.
• Collaborate with data scientists and software engineers to integrate ML solutions.
• Evaluate and experiment with new ML algorithms and technologies.
• Troubleshoot and resolve issues related to ML models and infrastructure.
• Document ML models, processes, and best practices.
• Contribute to the overall AI/ML strategy and roadmap.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, or a related quantitative field.
• 5+ years of experience in machine learning engineering or applied data science.
• Proficiency in Python and core ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud ML services (e.g., AWS SageMaker, Azure ML, Google AI Platform).
• Strong understanding of MLOps principles and tools.
• Experience with big data technologies (e.g., Spark) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities in a remote environment.