Cancel

57 Senior Data Scientist Media Entertainment jobs in Arlington

Senior Data Scientist, Media & Entertainment

Arlington, Virginia Amazon

Job Viewed

Tap Again To Close

Job Description

Description
Are you looking to work at the forefront of Machine Learning and AI in the Media and Entertainment industry? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the Media & Entertainment, Sports and Games industries. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale modern solutions for never-before-solved problems.
Key job responsibilities
As a Senior Data Scientist, you will-
- Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate modern generative AI algorithms and build ML systems to address real-world challenges
- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to Product and Engineering teams to help define product direction
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Experience with statistical models e.g. multinomial logistic regression
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 5+ years of data scientist experience
- 10 years Media and Entertainment Experience
Preferred Qualifications
- Experience as a leader and mentor on a data science team
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)
- Experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Apply Now

Job No Longer Available

This position is no longer listed on WhatJobs. The employer may be reviewing applications, filled the role, or has removed the listing.

However, we have similar jobs available for you below.

Data Scientist

76102 Fort Worth, Texas Autonomous Solutions

Posted 6 days ago

Job Viewed

Tap Again To Close

Job Description

Principal Data Scientist

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. We deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail, and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.

As a Principal Data Scientist, you will play a key role in advancing ASI's industry-leading autonomous systems by transforming complex vehicle and operational information into clear, actionable insights. This position supports the development of reliable, high-performing AI and autonomy capabilities by delivering robust data pipelines, high-quality training datasets, and meaningful performance metrics. This role will bridge time-series sensor data with relational models to support high-quality training datasets, robust performance metrics, and deep analysis. The Data Scientist partners closely with AI/ML Engineers, Simulation Specialists, and Principal Architects to ensure ASI's autonomy stack evolves with a rigorous, data-driven foundation.

Responsibilities:
  • Analyze structured and unstructured data from sensors, vehicle logs, simulations, and field operations to identify trends, anomalies, and opportunities for system improvement.
  • Leverage operational information and field feedback to generate insights that drive continuous product improvements and inform technology roadmap decisions.
  • Design, implement, and maintain pipelines that move between time-series storage (e.g., InfluxDB) and relational models, enabling advanced analysis and reporting.
  • Help define and build out relational database models to organize and summarize sensor data, supporting ad hoc analysis, ML feature generation, and business reporting.
  • Define, track, and communicate key performance metrics for autonomy systems, partnering with engineering teams to drive alignment and accountability.
  • Collaborate with AI/ML Engineers and Simulation Specialists to identify gaps, prioritize labeling needs, and generate synthetic/simulation data strategies.
  • Develop and test data-driven hypotheses to validate new autonomy concepts and inform system design and R&D decisions.
  • Define and enforce data quality standards, performing validation and cleansing to ensure reliable, consistent inputs for analysis and AI development.
  • Analyze real-world deployment data to support continuous model improvement and closed-loop validation workflows.
  • Collaborate with Business Intelligence (BI) teams to align technology roadmap priorities with application and execution needs, ensuring data models and pipelines support effective reporting and decision-making.
Required Qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or related field.
  • 3-7 years of industry experience in data analysis, data engineering, or applied machine learning, with demonstrated impact on product development.
  • Experience working with time-series databases (e.g., InfluxDB) and relational databases (e.g., Postgres, MySQL, SQL Server), with ability to design and execute complex queries in both contexts.
  • Familiarity with relational theory, including schema design and best practices for structuring analytical models (specifically for driving AI models).
  • Proficiency in Python (e.g., pandas, NumPy, scikit-learn) and SQL, with strong data manipulation and analysis capabilities.
  • Experience designing and maintaining robust pipelines to move, transform, and summarize large-scale sensor data.
  • Experience with data visualization and dashboarding tools such as Power BI is highly desirable.
  • Solid understanding of statistical analysis, experimental design, and machine learning fundamentals.
  • Exposure to autonomy, robotics, automotive or construction vehicle systems, or sensor data is highly desirable.

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

View Now

Data Scientist

76102 Fort Worth, Texas ZipRecruiter

Posted 7 days ago

Job Viewed

Tap Again To Close

Job Description

Job DescriptionJob Description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. We deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity , Safety , Transparency , Humility , Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.

As a Data Scientist, you will play a key role in advancing ASI's industry-leading autonomous systems by transforming complex vehicle and operational information into clear, actionable insights. This position supports the development of reliable, high-performing AI and autonomy capabilities by delivering robust data pipelines, high-quality training datasets, and meaningful performance metrics. This role will bridge time-series sensor data with relational models to support high-quality training datasets, robust performance metrics, and deep analysis. The Data Scientist partners closely with AI/ML Engineers, Simulation Specialists, and Principal Architects to ensure ASI's autonomy stack evolves with a rigorous, data-driven foundation.


Responsibilities :

  • Analyze structured and unstructured data from sensors, vehicle logs, simulations, and field operations to identify trends, anomalies, and opportunities for system improvement.

  • Leverage operational information and field feedback to generate insights that drive continuous product improvements and inform technology roadmap decisions.

  • Design, implement, and maintain pipelines that move between time-series storage (e.g., InfluxDB) and relational models, enabling advanced analysis and reporting.

  • Help define and build out relational database models to organize and summarize sensor data, supporting ad hoc analysis, ML feature , and business reporting.

  • Define, track, and communicate key performance metrics for autonomy systems, partnering with engineering teams to drive alignment and accountability.

  • Collaborate with AI/ML Engineers and Simulation Specialists to identify gaps, prioritize labeling needs, and generate synthetic/simulation data strategies.

  • Develop and test data-driven hypotheses to validate new autonomy concepts and inform system design and R&D decisions.

  • Define and enforce data quality standards, performing validation and cleansing to ensure reliable, consistent inputs for analysis and AI development.

  • Analyze real-world deployment data to support continuous model improvement and closed-loop validation workflows.

  • Collaborate with Business Intelligence (BI) teams to align technology roadmap priorities with application and execution needs, ensuring data models and pipelines support effective reporting and decision-making.


Required Qualifications:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or related field.

  • 3-7 years of industry experience in data analysis, data engineering, or applied machine learning, with demonstrated impact on product development.

  • Experience working with time-series databases (e.g., InfluxDB) and relational databases (e.g., Postgres, MySQL, SQL Server), with ability to design and execute complex queries in both contexts.

  • Familiarity with relational theory, including schema design and best practices for structuring analytical models (specifically for driving AI models).

  • Proficiency in Python (e.g., pandas, NumPy, scikit-learn) and SQL, with strong data manipulation and analysis capabilities.

  • Experience designing and maintaining robust pipelines to move, transform, and summarize large-scale sensor data.

  • Experience with data visualization and dashboarding tools such as Power BI is highly desirable.

  • Solid understanding of statistical analysis, experimental design, and machine learning fundamentals.

  • Exposure to autonomy, robotics, automotive or construction vehicle systems, or sensor data is highly desirable.

At Autonomous Solutions, Inc. (ASI) , we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on , , , , , , , genetic information, veteran status, , , or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.



Job Posted by ApplicantPro

View Now

Data Scientist

76099 Grapevine, Texas Patriot Mobile

Posted 9 days ago

Job Viewed

Tap Again To Close

Job Description

Patriot Mobile is America's only Christian conservative wireless provider. We offer broad coverage on dependable, nationwide 4G or 5G LTE networks. We are committed to providing our members reliable wireless service and exceptional support while relentlessly fighting for our shared values. Patriot Mobile donates a portion of every dollar earned to support organizations that fight for First Amendment Religious Freedom and Freedom of Speech, Second Amendment Right to Bear Arms, Sanctity of Life, and the needs of our Veterans and First Responders.

Job Overview:

The Data Scientist will analyze large volumes of network, customer and operational data to uncover trends, predict behaviors, and optimize business performance. Your insights will directly influence strategic decisions in areas such as customer retention, network optimization, fraud detection, and personalized service offerings. This position will also help improve customer acquisition strategies and maximize advertising dollar efficiency through data-driven decisions. The ideal candidate will excel at analysis, manipulation, and cleaning of data, building predictive and prescriptive models using theoretical and computational techniques, extract insights from models to help inform business decisions and present results and recommendations to various business partners and leaders.

Essential Functions and Responsibilities:

· Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-driven decisions.

· Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.

· Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights.

· Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.

· Effectively and efficiently transition models from development to production within the organization's existing cloud ecosystem.

· Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.

· Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions.

Required Knowledge/Skills/Abilities:

· Ability to quickly learn, analyze situations, and make decisions which support the mission of Patriot Mobile.

  • Hands-on experience building and optimizing data solutions using Python and SQL.
  • Experience solving problems using a variety of statistical and machine learning techniques.
  • Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems.
  • Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
  • Proactive approach to identifying problems and developing innovative solutions.

Education and Experience:

· Bachelors degree or higher in a relevant analytical field

Physical Requirements:

· Must be able to sit or stand for long periods of time.

· Must be able to work in a variety of spaces to include cubicle, counter, and or desk areas.

· Must be able to lift and move items up to 25 pounds.

Patriot Mobile is an equal opportunity at-will employer and does not discriminate against any employee or applicant for employment based on age, race, religion, color, disability, sex, or national origin.

View Now

Data Scientist

75219 Dallas, Texas Kemper

Posted 5 days ago

Job Viewed

Tap Again To Close

Job Description

Location(s)
Alpharetta, Georgia, Birmingham, Alabama, Dallas, Texas, Downers Grove, Illinois, Jacksonville, Florida, Remote-CT, Remote-FL, Remote-TX
**Details**
Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises
Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization's success. As a member of the Kemper Auto Data Science team, this position is responsible for building and developing analytical solutions, especially in updating existing solutions.
**Responsibilities:**
+ Independently designs and develops analytical solutions.
+ Develops and automates processes that can be deployed throughout the organization to solve reoccurring analytics needs.
+ Communicates project progress and challenges to the working team.
+ Develops database, technical, and business knowledge.
**Qualifications:**
+ Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 2-4 years of experience working in a data science/analytics environment.
+ PhD in Mathematics, Statistics, Engineering, or other STEM field with related industry experience preferred.
+ Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, matplotlib, etc.).
+ Proficiency and experience with several modeling techniques such as generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering, and neural networks.
+ Some experience with natural language processing is preferred.
+ Prior experience working with imbalanced datasets and AWS is a plus.
+ Ability to work with various data formats. This includes relational databases (especially), delimited text files, data frames, and JSONs.
+ Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences.
The range for this position is $90300 to $50400. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors? This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)?
Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.
Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.
Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.
#LI-WH-1
**Kemper at a Glance**
The Kemper family of companies is one of the nation's leading specialized insurers. With approximately 13 billion in assets, Kemper is improving the world of insurance by providing affordable and easy-to-use personalized solutions to individuals, families and businesses through its Kemper Auto and Kemper Life brands. Kemper serves over 4.7 million policies, is represented by approximately 24,000 agents and brokers, and has approximately 7,500 associates dedicated to meeting the ever-changing needs of its customers. Learn more at Kemper.com .
*Alliance United Insurance Company is not rated.
_We value diversity and strive to be an employer of choice. An Equal Opportunity Employer, M/F/D/V_
**Our employees enjoy great benefits:**
- Qualify for your choice of health and dental plans within your first month.
- Save for your future with robust 401(k) match, Health Spending Accounts and various retirement plans.
- Learn and Grow with our Tuition Assistance Program, paid certifications and continuing education programs.
- Contribute to your community through United Way and volunteer programs.
- Balance your life with generous paid time off and business casual dress.
- Get employee discounts for shopping, dining and travel through Kemper Perks.
View Now

Data Scientist

75062 Irving, Texas Eliassen Group

Posted 21 days ago

Job Viewed

Tap Again To Close

Job Description

**Data Scientist**
**Irving, TX**
**Type:** Contract
**Category:** Data
**Industry:** Retail
**Reference ID:** JN -072025-102941
**Date Posted:** 07/20/2025
**Shortcut:** Description
+ Recommended Jobs
**Description:**
**Hybrid | Irving, TX**
You'll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day.
You will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue. Our engineers have solid technical background but enjoy learning new languages, technologies, and frameworks. From creating an experimental machine learning prototype to deploying a production-ready backend, our engineers take many hats to see projects to completion.
_Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance._
Rate: $58 - $2 / hr. w2
**Responsibilities:**
+ Research, prototype, and develop AI solutions to build personalized systems.
+ Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products.
+ Stay up to date with emerging technology and learn new technologies/libraries/frameworks
+ Learn and partner with peers across multiple disciplines, such as data, product, and systems design
+ Deliver on time with a high bar on quality of research, innovation and engineering
**Experience Requirements:**
+ 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
+ 2+ years of experience with SQL, PySpark and Python.
+ 2+ years of experience training, evaluating and deploying Machine Learning models.
+ 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
+ Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
**Education Requirements:**
+ Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
_W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality._
_Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact
_About Eliassen Group:_
_Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._
_Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._
_Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a 1,000 referral check!_
View Now

Data Scientist/Sr Data Scientist, IOC Analytics

75219 Dallas, Texas American Airlines

Posted today

Job Viewed

Tap Again To Close

Job Description

**Intro**
Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board!
**Why you'll love this job**
+ The role is a part of the Operations Decision Support team. Positioned within the Operations Planning and Performance (OP&P) organization, this team is ideally situated to support business units with cutting edge solutions and analytics for a robust, reliable, and efficient operation. We are responsible for helping to create and promote a cross-functional learning organization and continuous improvement culture through optimization modeling, advanced analytics, and data science.
**What you'll do**
_As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations._
+ · Develop business domain understanding, identify opportunities, and develop analytical solutions.· Apply Operations Research (OR), Statistical, Data Science and Machine Learning techniques to evaluate performance, prescribe solutions and improve decision making to support company's long-term strategic vision and growth initiatives.· Engage in a broad spectrum of data science activities including data mining, data wrangling, building descriptive and predictive data models, visualization, development of recommendations, and presenting to business stakeholders.· Create compelling and holistic stories for communicating and visualizing insights based on data-driven recommendations to provide actionable insights that drive informed decisions for a variety of operations-related problems.· Research current practices and industry trends and keep abreast of latest advances in OR, data science techniques and Cloud-based data analytics to solve complex airline operations problems.· Establish connections with multiple levels and job functions within Airports, TechOps, and Integrated Operations Center (IOC) from front-line team members to senior leadership to gain valuable insights into opportunities, data, people, and processes.
**All you'll need for success**
**Minimum Qualifications- Education & Prior Job Experience**
+ An advanced degree (Masters or higher) in a quantitative discipline (Operations Research, Data Science, Industrial Engineering, Computer Science, Decision Sciences, Statistics, etc.)
+ In-depth knowledge and strong background in one or more of the following specialized areas:
+ Advanced optimization modelling methods (LPs, MIPs, etc.) and experience building large-scale models using FICO Xpress, ILOG CPLEX, or similar
+ Experience in applying Machine Learning, Data Science, and AI-driven techniques to practical business problems
+ Expertise in at least one computer programming/scripting language (e.g., Python, R, Java, C++)
+ Practical experience in data extraction, engineering, cleansing, analysis, and visualization
+ Excellent interpersonal, relational and communication skills (both oral and written)
**Preferred Qualifications- Education & Prior Job Experience**
+ Domain knowledge in the airline industry or other transportation-related field.
+ Practical experience working with data and developing machine learning models using cloud technologies (data lake, Microsoft Azure, AzureML, Databricks)
+ Experience with visualization design and UX principles
+ Familiarity with behavioral science or contextual inquiry principles
**What you'll get**
Feel free to take advantage of all that American Airlines has to offer:
+ Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network.
+ Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more.
+ Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need.
+ 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year.
+ Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more
**Feel free to be yourself at American**
From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Employee Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world.
Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
EQUAL EMPLOYMENT OPPORTUNITY/ AFFIRMATIVE ACTION POLICY
American Airlines maintains a continuing policy of nondiscrimination in employment. It is our policy to provide equal opportunity and access for all persons, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a disabled veteran or other protected veteran, in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations. This policy of nondiscrimination shall include, but not be limited to, the following employment decisions and practices: hiring; upgrading; promotions; demotions or transfers; layoffs; recalls; terminations; rates of pay or other forms of compensation; selection for training, including apprenticeship; and recruitment or recruitment advertising.
View Now

Lead Data Scientist

76102 Fort Worth, Texas Autonomous Solutions

Posted 5 days ago

Job Viewed

Tap Again To Close

Job Description

Join us at ASI, where we are transforming industries through cutting-edge autonomous robotics solutions that prioritize safety, productivity, and efficiency. Guided by our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail, and Growth, we are excited to shape the future of automation in rapidly evolving markets.

As a Lead Data Scientist, you will be pivotal in advancing ASI's top-tier autonomous systems, turning complex vehicle and operational data into actionable insights. This role focuses on developing reliable and high-performing AI capabilities by creating robust data pipelines and high-quality training datasets, alongside meaningful performance metrics. You will work closely with AI/ML Engineers, Simulation Specialists, and Principal Architects to ensure our autonomy stack is built on a solid, data-driven foundation.

Key Responsibilities:
  • Analyze both structured and unstructured data from various sources including sensors, vehicle logs, simulations, and field operations to uncover trends, anomalies, and areas for improvement.
  • Utilize field feedback and operational information to generate insights that lead to continuous enhancements in our products and influence technology roadmap strategies.
  • Design and maintain pipelines that facilitate movement between time-series storage and relational models, allowing for advanced analysis and comprehensive reporting.
  • Define and build relational database models to manage and summarize sensor data effectively, supporting ad hoc analysis, ML feature generation, and business reporting.
  • Establish, monitor, and communicate key performance metrics for autonomy systems in collaboration with engineering teams to ensure accountability and alignment.
  • Work jointly with AI/ML Engineers and Simulation Specialists to identify gaps, prioritize labeling needs, and develop synthetic/simulation data strategies.
  • Create and validate data-driven hypotheses to inform system design and R&D decisions related to new autonomy concepts.
  • Set and enforce data quality standards through validation and cleansing processes ensuring reliable inputs for analysis and AI development.
  • Examine real-world deployment data for continuous model improvement and to support closed-loop validation processes.
  • Collaborate with Business Intelligence (BI) teams to align the technology roadmap priorities with application and execution needs, ensuring data models and pipelines effectively support decision-making and reporting.
Required Qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
  • 3-7 years of professional experience in data analysis, data engineering, or applied machine learning, showcasing a significant impact on product development.
  • Experience with time-series databases (e.g., InfluxDB) and relational databases (e.g., Postgres, MySQL, SQL Server), including the ability to craft and execute complex queries.
  • Understanding of relational theory involving schema design and the best practices for organizing analytical models to enhance AI models.
  • Proficient in Python (including libraries such as pandas, NumPy, scikit-learn) and SQL, demonstrating strong skills in data manipulation and analysis.
  • Proven experience in designing and maintaining robust data pipelines that handle large-scale sensor data.
  • Familiarity with data visualization and dashboarding tools such as Power BI is a plus.
  • Solid foundation in statistical analysis, experimental design, and machine learning principles.
  • Exposure to autonomy, robotics, automotive or construction vehicle systems, or sensor data is highly advantageous.

At Autonomous Solutions, Inc. (ASI), we promote a diverse, inclusive, and equitable workplace, offering equal opportunities to all employees and applicants. We are committed to preventing discrimination and harassment of any kind, and we comply with all applicable laws related to non-discrimination in employment. We also provide reasonable accommodations for individuals with disabilities throughout the hiring process.

View Now

Senior Data Scientist

76102 Fort Worth, Texas Elios Talent

Posted 6 days ago

Job Viewed

Tap Again To Close

Job Description

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Elios Talent Co-Founder of Elios-Relationship Builder and Servant Leader.Romans 10:9 Senior Data Scientist - Predictive Modeling | Python | Business Impact We're looking for a Senior Data Scientist to uncover insights, build predictive models, and drive data-informed decisions across the business. You'll play a critical role in transforming raw data into strategic recommendations and intelligent systems. What You'll Do: Design and deploy machine learning models to solve high-value business problems Analyze large datasets to uncover trends, patterns, and actionable insights Partner with cross-functional teams to define metrics and evaluate outcomes Build dashboards and reports to visualize KPIs and track model performance Communicate findings to both technical and non-technical audiences Contribute to data science best practices, experimentation frameworks, and model governance What We're Looking For: 5+ years of experience in data science or applied analytics Strong programming skills in Python and SQL Deep understanding of statistical modeling, machine learning, and data wrangling Experience with cloud-based data tools (AWS, GCP, or Azure) Proven ability to translate complex data into business value Bonus: Experience with A/B testing, causal inference, or time series modeling Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Analyst, Engineering, and Research Industries IT Services and IT Consulting, Financial Services, and Research Services Referrals increase your chances of interviewing at Elios Talent by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Tuition assistance Paid paternity leave Paid maternity leave Get notified when a new job is posted. Sign in to set job alerts for Data Scientist roles. Data Science & Machine Learning Engineer Fort Worth, TX $140,000.00-$55,000.00 1 week ago Freelance Software Developer (Python-Rust) - AI Trainer Dallas, TX 83,430.00- 222,480.00 2 weeks ago Principal AI Research Scientist (remote) Irving, TX 180,000.00- 190,000.00 1 week ago Irving, TX 180,000.00- 190,000.00 2 weeks ago Irving, TX 80,000.00- 100,000.00 6 months ago F-35 Fleet Analytics: Senior Data Scientist Frisco, TX 140,000.00- 260,000.00 1 week ago Dallas-Fort Worth Metroplex 120,000.00- 130,000.00 2 weeks ago Dallas, TX 150,000.00- 200,000.00 10 hours ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Senior Applied Scientist - Research Products Frisco, TX 140,000.00- 260,000.00 2 weeks ago Dallas, TX 150,000.00- 170,000.00 2 weeks ago Senior Applied Scientist - Research Products Frisco, TX 140,000.00- 260,000.00 1 week ago Dallas, TX 140,000.00- 145,000.00 3 days ago Freelance Software Developer (Rust) - AI Trainer Dallas, TX 175,000.00- 250,000.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

View Now

Lead Data Scientist

75062 Irving, Texas Caterpillar, Inc.

Posted 1 day ago

Job Viewed

Tap Again To Close

Job Description

**Career Area:**
Technology, Digital and Data
**Job Description:**
**Your Work Shapes the World at Caterpillar Inc.**
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
**Role Definition:**
Join Caterpillar as a Lead Data Scientist in a team responsible for bringing world class GenAI capabilities to our products and services
**Responsibilities:**
+ **Model Development:** Designing, implementing, and optimizing models used in generative AI solutions
+ **Algorithm Research:** Staying updated with the latest advancements in AI and machine learning algorithms and integrating them into the team's projects.
+ **Experimentation:** Conducting experiments to test the performance of different models and approaches, and iterating based on the results.
+ **Research and Implementation:** Agentic GenAI solution research and best approach to implement solutions
+ **Training and Mentorship:** Providing guidance and mentorship to junior data scientists and other team members.
**What you will have:**
+ **Business Statistics:** Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
+ **Analytical Thinking:** Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
+ **Machine Learning:** Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
+ **Programming Languages:** Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
+ **Requirements Analysis:** Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
**Top Candidates will have:**
+ Experience with Python libraries such as LangGraph, and LangChain
+ Experience with AWS Sagemaker or similar
+ Ability to evaluate generated content from Large-Language Models (LLM)
+ Machine Learning
+ Computer Vision
**Additional Details:**
This position has the option to be based out of either our Chicago, IL, Peoria, IL, or Irving, TX (Dallas) offices.
#LI
#BI
**Summary Pay Range:**
$126,000.00 - $204,720.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
**Benefits:**
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
+ Medical, dental, and vision benefits*
+ Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
+ 401(k) savings plans*
+ Health Savings Account (HSA)*
+ Flexible Spending Accounts (FSAs)*
+ Health Lifestyle Programs*
+ Employee Assistance Program*
+ Voluntary Benefits and Employee Discounts*
+ Career Development*
+ Incentive bonus*
+ Disability benefits
+ Life Insurance
+ Parental leave
+ Adoption benefits
+ Tuition Reimbursement
* These benefits also apply to part-time employees
Visa sponsorship is available for eligible applicants.
**Posting Dates:**
August 12, 2025 - August 24, 2025
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community ( .
View Now

Senior Data Scientist

75062 Irving, Texas Eliassen Group

Posted 21 days ago

Job Viewed

Tap Again To Close

Job Description

**Senior Data Scientist**
**Irving, TX**
**Type:** Contract
**Category:** Data
**Industry:** Retail
**Reference ID:** JN -072025-102944
**Date Posted:** 07/20/2025
**Shortcut:** Description
+ Recommended Jobs
**Description:**
**Hybrid | Irving, TX**
You'll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day.
_Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance._
Rate: $70 - $0 / hr. w2
**Responsibilities:**
+ Research, prototype, and develop AI/ML solutions to build personalized systems.
+ Build, deploy and analyze AI/ML solutions and perform statistical experiments when deploying new AI products.
+ Analyze and segment customer data and clearly visualize customer behavior to make product decisions.
+ Stay up to date with emerging technology and learn new technologies/libraries/frameworks.
+ Learn and partner with peers across multiple disciplines, such as data, product, and systems design.
+ Deliver on time with a high bar on quality of research, innovation and engineering.
**Experience Requirements:**
+ 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
+ 4+ years of experience with SQL, PySpark and Python.
+ 4+ years of experience training, evaluating and deploying Machine Learning models.
+ 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
+ 1+ years leading and mentoring Data Scientists and delegating tasks to deliver complex tasks.
+ Familiarity with containerized application tooling and deployments (Docker/Kubernetes).
**Education Requirements:**
+ Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience.
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
_W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality._
_Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact
_About Eliassen Group:_
_Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._
_Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._
_Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a 1,000 referral check!_
View Now