191 Data Science jobs in El Segundo

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

About Ascent

Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies.

The Role

Our Data Science Associate will consult with various leaders in our business to track company/competitor performance, solve business problems using data, and influence our investments in data. They will also be responsible for mentoring junior analysts.

The Work

Data and analysis

• Take the lead in building predictive models including potential borrowers, defaults, and quality/valuations of properties for potential lending activities.
• Identify new business opportunities through tracking competitor trends and keeping management aware of developer lending market trends and insights.
• Support the team with ongoing research of machine learning and artificial intelligence trends. Develop methods for evaluating and selecting large language models (LLMs) for deployment.
• Analyze social networks for trends and insights working with Graph data.
• Assist in fostering a culture of test & learn within the company.

Leadership

• Serve as analytics consultant to a broad variety of line-of-business teams.
• Partner with technology teams on product changes and impacts on data/performance.
• Mentor junior analysts on various data science techniques.

Your Skills and Experience

• Analytics experience in residential real estate (SFR/MFR), mortgage, or banking required.
• Bachelor's degree in a quantitative field.
• 5-7 years of experience in analytical or consulting roles.
• Strong data science skills, especially in SQL and with AI/ML related Python libraries such as PyTorch, TensorFlow, MatPlotLib, Pycaret, and Keras. Conceptual knowledge of LLM's.
• Strong knowledge of statistics, hypothesis testing, and setting up experiments.
• Visibility to data visualization tools such as PowerBI or Tableau.
• Must have deployed several models to production.
• Exposure to data engineering skills.
• Strong communication and partnership skills, effective cross-department collaboration skills.
• Self-starter who can work under limited supervision.
• Mentoring skills to help develop junior analysts.

The Pay

Salary range is $130,000-$150,000 per year, with a discretionary bonus of 25% per year.

The Work Environment

• This role works on-site from Ascent's Encino office, Monday - Thursday (Fridays are work-from-home).
• Full-time, 40 hours per week; must be available for occasional overtime.
• Some nights and weekends required.

Ascent's Benefits

We offer a comprehensive benefits package designed to support your health, well-being, and work-life balance. Our benefits include five health plans, two dental plans, health savings and flexible spending accounts, vision coverage, a 401(k) plan, and other optional benefits to choose from.

Ascent's Pledge

We pledge to be fair and considerate in hiring and promoting individuals, ensuring everyone can contribute their fullest potential regardless of background, identity, or personal circumstances. By promoting equal opportunity, we not only enhance our workplace but also contribute to a more just and equitable society. At Ascent, we stand united in building a community where everyone is empowered to succeed. Thank you for joining us on our journey towards a more inclusive future.

The pay range for this role is:

130,000 - 150,000 USD per year (Los Angeles, CA)

Our client, a pioneering technology firm specializing in AI and machine learning, is offering an exceptional Data Science Intern opportunity for enthusiastic students in **Los Angeles, California, US**. This role provides invaluable real-world experience in applying advanced analytical techniques to complex datasets. The intern will work alongside experienced data scientists and engineers on cutting-edge projects, contributing to the development of innovative solutions.

Key Responsibilities:

• Assist senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
• Develop and implement statistical models and machine learning algorithms for predictive analysis and pattern recognition.
• Conduct exploratory data analysis (EDA) to identify trends, correlations, and insights.
• Visualize data and model results using tools like Matplotlib, Seaborn, or Tableau.
• Support the testing and validation of machine learning models.
• Contribute to the documentation of data science projects, methodologies, and findings.
• Collaborate with engineering teams to deploy models into production environments.
• Participate in team meetings, present findings, and contribute to brainstorming sessions.
• Learn and apply new data science techniques and tools under the guidance of mentors.
• Assist in the evaluation of data quality and integrity.
• Help in building dashboards and reports for monitoring key metrics.
• Stay updated on the latest advancements in data science and machine learning.

Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
• Proficiency in programming languages such as Python or R.
• Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Familiarity with SQL for database querying.
• Strong analytical and problem-solving skills.
• Excellent communication skills, both written and verbal.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new technologies.
• Previous exposure to data visualization tools is a plus.

This internship offers a unique opportunity to gain practical experience in a fast-paced, innovative environment and build a strong foundation for a career in data science.

Head of Data Science

About the Company

Innovative AI startup specializing in document redaction solutions

Industry
Information Technology and Services

Type
Privately Held

About the Role

The Company is in search of a Head of Data Science to lead its AI/ML-powered document redaction solutions. The ideal candidate will be a hands-on leader with a strong background in production-grade NLP and PDF processing, particularly in the areas of PII detection and Named Entity Recognition. Experience in a lean environment and the ability to scale a small data science team while actively contributing to the build process are essential. The role involves inheriting one team member and gradually expanding the team, so a collaborative and execution-oriented mindset is a must. Key responsibilities for the Head of Data Science include bringing models to market, continuously optimizing them in real-world settings, and having a strong focus on MLOps. While experience with SageMaker is preferred, it is not required, as the learning curve is considered manageable. The successful candidate will be expected to have a startup mindset, be scrappy, and be comfortable working in production environments. Python fluency is a given, and the ability to work with a small team to deliver high-quality, customer-facing solutions is a critical aspect of the role.

Travel Percent
Less than 10%

Functions

• Data Management/Analytics

Description

Position at CFO Services

*** DO NOT APPLY! THIS IS A TEST JOB POSTING

Data Scientist Job Responsibilities:

• Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Lead data experiments tasked by the Data Science Team.
• Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
• Develop and implement statistical models.
• Work with Machine Learning engineering team to implement model.
• Analyzes problems and determines root causes.
• Helps identify company data assets and assists in defining data models.
• Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Required Qualifications / Skills:

• Machine learning, regression analysis, statistical testing
• Feature engineering and data cleansing
• Advanced analytical knowledge of data
• Conducting big data analysis
• Data conditioning
• Programming advanced computing
• Developing algorithms
• Developing software and data models
• Executing predictive analytics

Education, Experience, and Licensing Requirements:

• 5+ years of professional experience
• Proficient with one or more programming languages (Python, R, Java, C++, etc.)
• Experience working with TensorFlow, SciKit Learn, NumPy, SciPy
• Experience working with NLP and BERT
• Experience implementing deep learning
• Specific examples using LSTM, RNN, and SVM a plus
• Git experience and Kubernetes a plus
• Experience working in AWS or Azure
• Demonstrated experience applying data science methods
• Experience implementing agile approach to artificial intelligence algorithm development

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About the job Data Science Analyst r

Data Science Analyst needs 5+ years data analysis, banking experience

Data Science Analyst requires:

• Practical experience with ETL, data processing, database programming and data analytics
• Extensive background in data mining and statistical analysis
• Able to understand various data structures and common methods in data transformation
• Excellent pattern recognition and predictive modeling skills
• Experience with programming languages such as Java/Python or R an asset
• Digital banking

Data Science Analyst duties:

• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop and execute upon data A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Create and use advanced machine learning algorithms and statistics: regression, distributions, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Work to analyze data from a wide variety of 3rd party data providers: Google Analytics, Adwords, Adobe, etc.
• Use distributed data/computing tools to achieve business results: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Work with cloud and distributed computing architectures, and data providers, e.g S3, Spark, DigitalOcean, Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL

Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .
The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.
We're looking for a Manager, Data Science, Ads to join Snap Inc.
What you'll do
+ Lead a team of data scientists focused on improving and evolving our ads marketplace through in-depth analysis of auction dynamics and marketplace efficiency that directly inform our product roadmap.
+ Help build and manage a team of high performing data scientists and help them execute along the most important priorities and deliver world-class products
+ Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best.
+ Work cross-functionally and partner with product managers, engineers, and researchers to solve problems, and conduct analytics studies to identify new product opportunities and shape product strategy
+ Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business conatext to translate what it all means
+ Lead the development & implementation of regular insights share-outs that drive the consumer voice throughout the organization
+ Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement
+ Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team.
Knowledge, Skills, Abilities:
+ Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing and ad load
+ Understanding of statistical analysis, experience with packages, such as R, MATLAB, Stata, etc.
+ Working knowledge of predictive modeling, machine learning, and experimentation/ causal inference methods
+ Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management.
+ Expertise in SQL and familiarity with Python
+ Excellent communication skills, with high attention to detail
+ Ability to initiate and drive projects to completion with minimal guidance
+ Ability to balance practical business needs and scientific rigor
Minimum Requirements
+ BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience
+ 7+ years of experience in quantitative analysis & data science or a related field
+ 3+ years experience in a leadership role within a data organization
Preferred qualifications
+ Advanced degree in a quantitative field (Economics, Computer Science, Physics)
+ Experience forming partnerships with cross-functional leaders in engineering, product, design, research, etc.
+ Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance.
+ Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC) ( :
The base salary range for this position is $229,000-$43,000 annually.
Zone B ( :
The base salary range for this position is 218,000- 326,000 annually.
Zone C ( :
The base salary range for this position is 195,000- 292,000 annually.
This position is eligible for equity in the form of RSUs.
**A Decade of Snap ( **:** Learn about our origin story, values, mission, culture of innovation, and more.
**CitizenSnap ( **:** In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
**The DEI Innovation Summit ( **:** Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
**Snap News ( **:** Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (

What We Do

CarParts.com is the go-to eCommerce platform for auto care and maintenance. We offer drivers quality parts at competitive prices and allow customers to schedule an appointment with a trusted mechanic directly from our website. We use world-class design principles and the latest technologies to deliver a fast, easy-to-use, and mobile-intuitive website. And with our company-owned national distribution network, we bring the best brands and manufacturers directly to consumers, cutting out the costs associated with brick-and-mortar retailers. Our more than 1,700 team members worldwide are dedicated to Empowering Drivers Along Their Journey.

Our Culture

At CarParts.com, we're DRIVEN by our core values: Safety First, Customer Focused, and a Commitment to Excellence. These values guide us in everything we do and push us further in our growth both as a company and as people. They cultivate an environment where employees are inspired and empowered as we build and thrive together. All the hard work of our entire team has resulted in back-to-back record-breaking quarters since Q1 of 2020, as well as our inclusion in the Los Angeles Business Journal's top 100 Best Places to Work in Los Angeles list for four years in a row (2020, 2021, 2022, 2023). Join us!

Summary of Role/Position

CarParts.com is seeking a Data Science & ML Ops Engineer with strong foundations in software engineering and applied machine learning operations. The ideal candidate will bridge the gap between data science and engineering by designing, deploying, and maintaining robust ML infrastructure, automation systems, and APIs that support intelligent, data-driven decision-making. This role requires someone with deep technical expertise in productionizing models, developing scalable services, and ensuring reliability of ML systems in real-world environments.

Responsibilities:

• Build, deploy, and maintain scalable ML pipelines and inference systems for production environments.
• Develop APIs and automation services using AWS Lambda, FastAPI, or Flask to deliver ML solutions at scale.
• Implement model versioning, serialization (Pickle, ONNX, joblib), and deployment best practices.
• Collaborate with data scientists to operationalize ML models, ensuring reproducibility and reliability in production.
• Design and support data-driven automation systems and decision-support tools for business operations.
• Integrate message queueing systems (AWS SQS or similar) for robust communication across services.
• Write unit tests, integration tests, and ensure maintainable code using PyTest or similar frameworks.
• Containerize services with Docker and manage deployments across cloud environments.
• Contribute to CI/CD pipelines (Jenkins, GitHub Actions, AWS CodePipeline) for ML systems.
• Implement logging, error handling, monitoring, and alerting for ML services and APIs.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related quantitative field with 2-3 years of professional experience.
• Strong proficiency in Python for software engineering, with some knowledge of JavaScript.
• Hands-on experience with ML libraries such as scikit-learn, XGBoost, LightGBM, or CatBoost, including inference pipelines.
• Proven experience building APIs and services using FastAPI, Flask, or AWS Lambda.
• Knowledge of RESTful services, JSON, and HTTP methods.
• Experience with model versioning and serialization frameworks (Pickle, ONNX, joblib).
• Familiar with containerization tools such as Docker for deploying ML services.
• Version control expertise with Git, including collaborative workflows (pull requests, branching, code reviews).
• Basic understanding of CI/CD practices and pipelines (Jenkins, GitHub Actions, AWS CodePipeline).
• Strong problem-solving skills with ability to implement robust logging, monitoring, and error handling in production.

Preferred Experience:

• Master's degree in Computer Science, Data Science, or related technical field.
• Experience with MLOps frameworks and lifecycle management tools.
• Familiarity with orchestration tools like Kubernetes, Airflow, or Databricks.
• Prior experience in e-commerce, logistics, or digital marketplaces.
• Exposure to cloud platforms (AWS, GCP, Azure) for ML deployments.

A reasonable estimate of the salary range for this position based on job experience, education level, global geographic region, etc: $120,000-$145,000

CarParts.com is an equal-opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Our management is dedicated to ensuring that we fulfill this policy with respect to hiring, placement, promotion,