70 Computer Science jobs in Dallas

Benefits: Medical, Dental, Vision, Paid time off, Stock plan, Remote work policy.

Role Overview:

• Seeking a high-impact principal data science engineer to join a founding team focused on advancing our mission to combat the skilled worker crisis by unlocking high pay, high dignity careers for talent. The role will have a high degree of autonomy and will have the opportunity to touch all areas of the stack (full stack machine learning, Client operations and API development).
• This role represents a chance to join an early-stage team with a focus on creating large-scale positive impact in the world while also generating substantial value in a multi-trillion-dollar industry .

What you'll be doing:

• Developing our core technology product, a data-rich system of engagement and record for identifying, qualifying, staffing, optimizing, and retaining skilled talent .
• Partnering to build and execute a data strategy in support of the long-term business vision .
• Building Client algorithms to support skilled worker retention as well as matching algorithms underlying a labor marketplace.
• Flexing across the entire machine learning model development lifecycle, including EDA, data pipelines, feature engineering, model productionisation and monitoring.
• nalyzing data (market, user behavior, etc.) to inform new feature development and the associated ROI across our various customer personas .
• Ensuring security best-practices around PII and other sensitive data/access .
• Bringing values-centered leadership and deep belief in our mission for serving customers, partners, & employees.

Must have:

• Tracker record of building and shipping production-grade data products, from 0-1.
• Comfortable working across the stack with modern programming languages and frameworks ( Python, Java ) & platforms ( WS, GCP, Azure , etc.).
• ble to flex from 100% data science focus to 100% engineering execution based on company needs, with the most likely split being near the center.
• Early-stage startup experience.

Nice to have:

• Big tech company experience at companies such as: mazon (strongly preferred), pple, Twitter, Amazon, Google, Meta, MicroSoft, Netflix , etc.

**Overview**
Intuit SBSEG Data and Analytics has an exciting opportunity to be part of the fast-growing Mid-market Analytics team that plays a critical role in driving growth in Mid-market with a long-term winning strategy. Disrupt the small business mid-market is one of Intuit's 5 Big Bets initiatives.
The Mid-market Analytics team is responsible for (1) providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps, (2) providing data/tools/actionable insights/experimentation for the execution of multiple Mid-market priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the mid-market business is doing.
We are looking for a Manager 3, Data Science, who is intellectually curious and extremely self-driven, with a proven track record of leading analytics support for a critical or high-growth business areas. The ideal candidate will also have a passion for building and developing a high-performing Data Science team, while demonstrating a forward-looking, strategic and extreme ownership mindset.
**What you'll bring**
+ Minimum 10+ years of experience in analytics or Data Science area
+ Minimum 5 years of experience in managing a team of 7+ data scientists/analysts.
+ 10+ years of hands-on experience in SQL and data visualization tools such as Tableau, Qlik.
+ Multiple years of experience in applying advanced analytics techniques such as python, ML models, LLM, etc., is highly preferred.
+ Ability to create analytical framework for solving complex business problems with proven track record.
+ Ability to manage multiple projects simultaneously to meet objectives.
+ Ability to identify strategic opportunities.
+ Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives.
+ Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.
**How you will lead**
+ Build and develop a high-performing Data Science team.
+ Influence strategic business decisions and operational decisions by conducting customer segmentation and profiling, product analytics, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.
+ Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes.
+ Proactive explore and identify new business opportunities to help business partners to achieve business goals.
+ Communicate data and insights effectively to business partners of all levels including senior leadership team.
+ Collaborate with other analytics teams and data engineers to work on cross-functional projects or develop analytics/AI capabilities.
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

**Overview**
Since our founding in 1924, we've cut cardiovascular disease deaths in half, but there is still so much more to do. To overcome today's biggest health challenges and accelerate this progress, we need passionate individuals like you. Join our movement, be part of the progress, and help ensure a healthier future for all. You matter, and so does the impact you can make with us.
This internship supports the Data Science team and offers hands-on experience in data science and statistical analysis within clinical or biomedical research settings. Interns will contribute to the development of machine learning models, conduct experimental design and evaluation, and assist in summarizing results and drafting manuscripts. You will have the opportunity to work closely with staff across departments and contribute to impactful, high-quality research.
The American Heart Association's Internship Program provides college students an opportunity for hands-on experience in various facets for individuals interested in gaining work experience with a non-profit, voluntary health organization.
The Association offers many resources to help you maintain work-life harmonization through your changing needs and life situations. To help you be successful, you will have access to Heart U, our award-winning corporate university, as well as training and support locally and through our National Center.
#TheAHALife is more than a company culture; it is our way of life. It embodies our commitment to work-life harmonization and is guided by our core values where our employees can thrive both personally and professionally. Discover why you will Be Seen. Be Heard. Be Valued at the American Heart Association by following us on LinkedIn, Instagram, Facebook, X, and at heart.jobs.
**Internship Overview:**
+ Time Commitment: 25 hours per week
+ Internship Duration: 9/8/25-12/5/25
+ Location:Remote
+ Salary: $23.00 per hour
**Internship Outcomes:**
Individuals participating in the internship program are provided with an opportunity to:
+ Gain important and practical job skills to be successful in a non-profit environment.
+ Opportunity to explore a career-path with a reputable voluntary health/service organization.
+ Complete an internship that enriches your academic and professional resume as well as enriching your personal life by making a difference in the lives of others.
**Responsibilities**
**Tasks could include things like the following:**
+ Retrieve, process, and clean large-scale biomedical data, build high-quality datasets.
+ Design and develop machine learning models for clinical or biomedical research, with a focus on Large Language Models (LLMs), medical imaging, or multimodal AI.
+ Conduct experimental design and evaluation, including statistical analysis, performance assessment, error analysis, and robustness testing.
+ Collaborate with cross-functional teams, including clinicians, data scientists, and engineers, to refine research questions and interpret results.
+ Contribute to scientific writing, including drafting manuscripts for peer-reviewed journals and preparing materials for presentations or conferences.
+ Develop interactive data visualization tools to communicate insights clearly.
**Qualifications**
+ **Currently pursuing an MS or PhD degree in Computer Science, Biomedical Informatics, Engineering, Statistics, or a related quantitative field.**
+ **Demonstrated experience with large-scale machine learning or foundation models, including training, fine-tuning, and evaluating LLMs (e.g., GPT, BERT) or vision models (e.g., CNNs, Vision Transformers.**
+ **Strong programming skills in Python (or R), with experience in machine learning frameworks.**
+ **In-depth knowledge of study design, data analysis, and statistical methodologies, with prior experience working with clinical or biomedical data (e.g., EHRs, images.**
+ **Prior authorship or co-authorship of peer-reviewed publications is strongly preferred.**
+ Experience with interactive visualization tools (e.g., Plotly, Dash, D3.js, or React) is a plus.
+ Excellent communication skills, with the ability to present results to both technical and non-technical audiences.
+ Ability to deal professionally in a corporate or non-profit environment and assume responsibility for guiding projects and programs from inception through completion.
+ Ability to work in a fast-paced, dynamic environment managing multiple priorities involving multiple entities.
+ Intermediate to excellent proficiency in MS Word, Excel, Outlook and PowerPoint.
+ **Minimum availability of 20 hrs/wk, M-F between the hours of 8:00am-5:00pm.**
+ **Required Equipment: Reliable WiFi Connection.**
+ **Must be legally authorized to work in the United States for any employer without sponsorship, now or in the future. For any roles working remotely, the work must also be performed inside the United States, not in a foreign country.**
**Compensation & Benefits**
**The job application window is expected to close: August 1, 2025.**
The American Heart Association invests in its people. Visit Rewards & Benefits to see more details.
+ **Compensation and Performance** - Attracting talented, committed interns means offering competitive compensation, ongoing professional development and training, and an environment in which to work and grow. And we do.
+ **Professional Development -** You can join one of our many Employee Resource Groups (ERG) or be a mentor/mentee in our professional mentoring program. HeartU is the Association's national online university, with more than 100,000 resources designed to meet your needs and busy schedule.
+ **Healthcare Benefits** - You will have the opportunity to participate in our Teladoc General Medical and Behavioral Health programs. We also provide access to our Employee Assistance Program (EAP) at no cost as a confidential program designed to assist employees and family members with personal issues that affect their relationships at home or at work.
**Apply Today:**
So, are you ready to intern for the largest voluntary health organization dedicated to fighting heart disease, stroke, and other cardiovascular diseases?
The American Heart Association's 2028 Goal: Building on over 100 years of trusted leadership in cardiovascular and brain health, by 2028 the Association will drive breakthroughs and implement proven solutions in science, policy, and care for healthier people and communities. The greatest discoveries in health must reach everyone where they are.
**At American Heart Association | American Stroke Association, our mission is to be a relentless force for a world of longer, healthier lives, regardless of race, ethnicity, gender, gender identity, religion, age, language, sexual orientation, national origin and physical or cognitive abilities.**
**This position not a match with your skills?** Click here to see other opportunities.
In accordance with local and state laws where applicable, qualified applicants with arrest or conviction records will be considered for employment.
EOE/Protected Veterans/Persons with Disabilities
#AHAWAYUP, #LI-DNP
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**Default: Location : Location** _US-TX-Dallas_
**Posted Date** _1 week ago_ _(7/9/2025 9:51 AM)_
**_Requisition ID_** _2025-16131_
**_Job Category_** _Administrative Support_
**_Position Type_** _Part Time_

We're driven by curiosity, passion, optimism, and the belief that everybody can grow.
As a Data Science Senior Associate within the Product & Experience team at Chase Bank, you will be a key player in boosting our operational efficiency and productivity. Your role will involve providing valuable analysis and actionable insights to enhance our planning and prioritization, minimize bottlenecks, and eradicate waste. You will be tasked with sourcing, developing, and monitoring metrics related to CI/CD enhancements and GenAI solutions. Additionally, you will be in charge of creating dashboards to monitor efficiency metrics across the company and determining the impact of these initiatives. Your crucial role will also include building analytics engineering pipelines and developing data science models to measure the impact. You will collaborate closely with cross-functional teams, such as Technology and Finance, to analyze intricate data sets, develop predictive models, and provide actionable insights to improve our product offerings and technology efficiency.
**Job Responsibilities:**
+ Collaborate with product managers, engineers, and other stakeholders to understand business objectives and translate them into data-driven solutions.
+ Analyze large and complex data sets to identify trends, patterns, and opportunities for improvement in the product development life cycle.
+ Develop and implement predictive models and machine learning algorithms to forecast product performance and operational processes.
+ Design and conduct experiments to test hypotheses and validate model outcomes, ensuring accuracy and reliability.
+ Create and maintain dashboards and reports to visualize key metrics and insights, facilitating informed decision-making across teams.
+ Stay up to date with industry trends, emerging technologies, and best practices in data science and analytics.
+ Mentor data scientists and contribute to the development of a collaborative and innovative team environment.
**Required Qualifications, Capabilities, and Skills:**
+ Bachelor's degree in data science, Statistics, Computer Science, or a related field.
+ Ability to tackle unstructured problems; strong learning aptitude required.
+ Experience with data analytics and/or visualization techniques (e.g., SQL, Python, Tableau), as well as data warehousing technologies (e.g., Snowflake, Databricks, Redshift).
+ Exceptional communication (written and verbal) and presentation skills - an ability to communicate effectively with diverse audiences across business and technology partners, including senior leadership.
+ Proven experience (5+ years) in data science, analytics, or a related role, preferably within the financial services or technology industry.
+ Expertise in machine learning techniques, statistical modeling, and data mining.
+ Excellent problem-solving skills and the ability to work with complex data sets to derive actionable insights.
+ Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audiences.
+ Ability to work independently and collaboratively in a fast-paced, dynamic environment.
**Preferred Qualifications, Capabilities, and Skills:**
+ Experience with Agile methodologies and proficiency in Atlassian tools like Jira and Jira Align to manage workflows and enhance team collaboration.
+ Familiarity with analytics engineering tools like dbt and Airflow.
+ Familiarity with DevEx metrics and an understanding of software deployment pipelines.
+ Familiarity with AI technologies, including prompt engineering and proof-of-concept (POC) development, to leverage advanced analytics and machine learning capabilities.
+ Experience with ThoughtSpot or similar data visualization tools, enhancing the ability to create intuitive and impactful data insights.
+ Master's degree in data science, Statistics, Computer Science, or a related field.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
**Base Pay/Salary**
Chicago,IL $104,500.00 - $155,000.00 / year

We're driven by curiosity, passion, optimism, and the belief that everybody can grow.

As a Data Science Senior Associate within the Product & Experience team at Chase Bank, you will be a key player in boosting our operational efficiency and productivity. Your role will involve providing valuable analysis and actionable insights to enhance our planning and prioritization, minimize bottlenecks, and eradicate waste. You will be tasked with sourcing, developing, and monitoring metrics related to CI/CD enhancements and GenAI solutions. Additionally, you will be in charge of creating dashboards to monitor efficiency metrics across the company and determining the impact of these initiatives. Your crucial role will also include building analytics engineering pipelines and developing data science models to measure the impact. You will collaborate closely with cross-functional teams, such as Technology and Finance, to analyze intricate data sets, develop predictive models, and provide actionable insights to improve our product offerings and technology efficiency.

Job Responsibilities:

• Collaborate with product managers, engineers, and other stakeholders to understand business objectives and translate them into data-driven solutions.

• Analyze large and complex data sets to identify trends, patterns, and opportunities for improvement in the product development life cycle.

• Develop and implement predictive models and machine learning algorithms to forecast product performance and operational processes.

• Design and conduct experiments to test hypotheses and validate model outcomes, ensuring accuracy and reliability.

• Create and maintain dashboards and reports to visualize key metrics and insights, facilitating informed decision-making across teams.

• Stay up to date with industry trends, emerging technologies, and best practices in data science and analytics.

• Mentor data scientists and contribute to the development of a collaborative and innovative team environment.

Required Qualifications, Capabilities, and Skills:

• Bachelor's degree in data science, Statistics, Computer Science, or a related field.

• Ability to tackle unstructured problems; strong learning aptitude required.

• Experience with data analytics and/or visualization techniques (e.g., SQL, Python, Tableau), as well as data warehousing technologies (e.g., Snowflake, Databricks, Redshift).

• Exceptional communication (written and verbal) and presentation skills - an ability to communicate effectively with diverse audiences across business and technology partners, including senior leadership.

• Proven experience (5+ years) in data science, analytics, or a related role, preferably within the financial services or technology industry.

• Expertise in machine learning techniques, statistical modeling, and data mining.

• Excellent problem-solving skills and the ability to work with complex data sets to derive actionable insights.

• Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audiences.

• Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications, Capabilities, and Skills:

• Experience with Agile methodologies and proficiency in Atlassian tools like Jira and Jira Align to manage workflows and enhance team collaboration.

• Familiarity with analytics engineering tools like dbt and Airflow.

• Familiarity with DevEx metrics and an understanding of software deployment pipelines.

• Familiarity with AI technologies, including prompt engineering and proof-of-concept (POC) development, to leverage advanced analytics and machine learning capabilities.

• Experience with ThoughtSpot or similar data visualization tools, enhancing the ability to create intuitive and impactful data insights.

• Master's degree in data science, Statistics, Computer Science, or a related field.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Base Pay/Salary
Chicago,IL $104,500.00 - $155,000.00 / year

We're looking for a data scientist with experience with innovative artificial intelligence (AI), generative AI and large language models (LLMs) to support AI solutions across the business for both government and private-sector clients. The ideal candidate will have a strong technical background, leadership capabilities, and the ability to drive AI adoption across various domains. In addition, the ideal candidate will possess a degree in computer science, AI, data science, engineering, or similar domain areas, as well as previous experience in consulting.
The chosen candidate will become a member of the Digital and Data team at Jacobs, helping drive innovation in technical project work for our clients in collaboration with subject matter experts, technologists, engineers, data scientists, project managers, and more.
Location: DFW area in Texas, United States
Key Responsibilities:
* Strong technical understanding for supporting AI, GenAI, and LLM solution developments/deployments across the business
* Oversight, development, implementation/maintenance, education, and selling of digital AI and digital solutions internally and externally
* Cross-collaboration between markets, variable business units, and geographies (global timezones)
* Presentations to internal project teams and external stakeholders
* Technical report writing and communications
* Development, incubation, and scaling of new innovative AI and digital solutions
* Strategic discussions/advocacy with leadership and path forward developments for various internal/external initiatives
* Investigation, support and maintenance of existing and new AI and digital tools/platforms/solutions
* Participate in knowledge sharing and learning across the businesses and domains
* Abstract development and submissions for varied conferences/events throughout the year
* 3-5 years of experience in the consulting industry, or similar domains
* Bachelor's degree in computer science, AI, data science, engineering, or similar domain
* Technical proficiency with AI, GenAI, LLM tools/applications/solutions
* OpenAI, Copilot Studio, Palantir Foundry/AIP, Open-Source, or similar
* Working knowledge with scripting languages such as python, typescript, R, SQL or similar
* Ability to travel as necessary to meet project and client requirements
* Task management experience
Preferred:
* Master's degree in computer science, AI, data science, engineering, or similar domain
* Experience in the AEC industry and Aviation market.
* Technical proficiency with tools and platforms such as:
* Microsoft Azure, Microsoft Fabric, Palantir Foundry, Palantir AIP, AWS, Python, Power BI, GIS, and database technology (data lakes, vector database, etc.)?
* Experience with Geospatial data and software (Esri)
* Experience with digital solutions, field-based data capture, and data management best practices
* Experience with CAD design and engineering and/or construction related workflows
#LI-MB5
Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.

Description We are looking for a visionary Director of Data Science & AI to lead the development of cutting-edge machine learning systems that enhance autonomous threat detection across decentralized networks. This role requires a strategic leader who can architect innovative solutions, build a high-performing team, and partner across departments to embed artificial intelligence into core system designs. If you are passionate about leveraging AI to create secure, scalable, and adaptive systems, this opportunity offers a chance to make a transformative impact.
Responsibilities:
- Design and implement machine learning systems to detect anomalies, identify malicious activities, and adapt to evolving threat vectors within decentralized network environments.
- Develop real-time intelligence pipelines that process large-scale data signals into actionable insights with speed and accuracy.
- Lead the end-to-end lifecycle of AI model development, including designing, training, testing, and deploying models tailored for security and anomaly detection.
- Collaborate with infrastructure and platform teams to optimize data telemetry, build labeled datasets, and scale data quality across the organization.
- Partner with cross-functional teams, including Security, Platform, and Network Engineering, to integrate AI solutions seamlessly into system architecture.
- Recruit, mentor, and manage a team of elite machine learning engineers and research scientists, fostering innovation and excellence in a dynamic environment.
- Stay ahead of emerging threats by analyzing attack patterns, adversarial behaviors, and cutting-edge detection methods to refine defenses.
- Architect scalable AI and inference systems that balance performance, privacy, and security while adapting to evolving demands.
- Translate research innovations into production-grade systems that enhance threat detection and response capabilities. Requirements - At least 10 years of experience in machine learning, with a proven ability to apply AI models to real-world challenges such as security or large-scale data environments.
- Deep understanding of threat modeling, including common attack vectors, evasive behaviors, and adversarial tactics in network and identity systems.
- Expertise in designing and deploying machine learning models that operate robustly in production environments.
- Strong architectural skills, with the ability to design scalable and adaptive inference systems that prioritize security and performance.
- Leadership experience in building and scaling AI or data teams within high-growth, ambiguous environments.
- Proficiency in Python and modern machine learning frameworks such as PyTorch and TensorFlow.
- Familiarity with cloud technologies, data visualization, and tools like Apache Kafka, Hadoop, Spark, and AWS.
- Demonstrated technical rigor and curiosity, staying updated on advances in detection algorithms, graph modeling, and sequential analysis. Technology Doesn't Change the World, People Do.®
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app ( and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use ( .

**About CITI**
Citi, the world leading global bank, has approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Citi enables clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.
A critical enabler of Citi's mission to enable growth and economic progress is technology. Our teams are creating innovations used across the globe - we're changing the way people bank and how the world does business.
**Who We Are:**
Citi's Global Workforce Optimization (GWFO) is an organization within Citi's Enterprise of Excellence. Enterprise Excellence designs solutions providing transparency & visibility of the current state; empowers operations and functions to leverage enterprise solutions to drive improved process & workforce optimization; and supports the evolution of the organization via continuous improvement & simplification.
Our GWFO mission is to partner with Citi businesses globally to improve the customer experience, increase revenue, achieve service objectives, and maximize efficiency. GWFO support includes workforce management related activities, including capacity planning, analytics, and supplier tools support. Across the Citi Enterprise, we strive to:
+ Drive workforce strategy and provide insights across capacity planning and supported applications to optimize people and processes
+ Enable discipline, create consistency, and vigorously improve processes
+ Deliver & optimize applications and tools in real-time while driving control rigor
+ Serve as a trusted partner and subject matter expert supporting key strategic work
**Role Definition:**
We are hiring for the position of Vice President as an individual contributor to model predictive forecasts, create visualizations of data and insights, and build sustainable processes that produce output leveraging automation and artificial intelligence. The purpose of the role is to use Citi's data assets to analyze information and create actionable intelligence for our business leaders. In this role, you will serve as a key Data Science and Analytics partner, leveraging deep statistical expertise to drive impactful business strategy and decisions. You will collaborate with cross-functional teams to understand business goals, develop and translate complex analytical results into clear, compelling stories, and deliver recommendations for non-technical stakeholders. You will build, validate, and maintain predictive models to forecast performance metrics, customer behavior, and operational trends. You will also be responsible for developing data pipelines and repeatable analytical workflows that support scalable insights and automation across multiple business functions and international borders. You will do meaningful work from Day 1. Our collaborative and respectful culture lets people grow and have influence in one of the world's leading financial services organizations. We value what makes you unique so that you have opportunity to shine. You also get the opportunity to work with the best minds and top leaders in the analytics space.
**Who You Are:**
**Data Driven:** A proven history of enabling decision making and problem solving with data. Conceptual thinking skills must be complimented by a strong quantitative orientation and data driven approach
**Strong Technical Acumen:** You bring an established technical expertise in querying, scrubbing, and analyzing large datasets. You can design and implement advanced statistical techniques (regression, time series analysis, A/B testing, etc.) to support experimentation and optimization initiatives
**Strong Partner:** You effectively collaborate and seek to build trusted relationships with partners and stakeholders and work in tandem with them on all aspects from discovery to delivery of results. Strong collaborator who represents Workforce Management and communicates with team members to determine global solutions, crossing business boundaries and international constraints
**Strong Communicator:** You can communicate verbally and through written communication with clarity and can structure and present your work to senior leadership
**Clear Results Orientation:** You display a keen focus on achieving both short- and long-term goals and have experience driving and executing an agenda in a demanding and fast-paced environment, with an eye on risks & controls
**Innovative:** You are always challenging yourself and your partners to find better and faster ways of doing things. Proven record of business improvements and delivering measurable results to the business; creative analytical person with ability to think beyond current state
**Strategic:** You demonstrate strong judgment, integrity, and sensitivity to cultural diversity and key strategic themes across the Enterprise. Frequently involved in matters that require solutions based on complex, analytical thought
**Qualifications**
+ 6+ years of demonstrated experience in Data Science, Analytics, or related field with a history of successfully delivering complex projects
+ 5+ years of experience in Python, advanced SQL, data pipeline and data modeling, visualization tools (Tableau, Power BI etc.), building data roadmaps and strategies, and serving executives with data/reports/insights for strategic decision making
+ BS in Computer Science, Economics, Finance, Data Science, Math preferred
+ Prior experience in banking industry or financial services sector is highly desirable
+ Experience with databases and coding languages (SQL, SAS, Python, R, etc.)
+ Excellent analytical and critical thinking skills, with the ability to translate business requirement into technical solutions or opportunities
+ Detail oriented with good organization and presentation skills
+ Ability to interact with all levels, including senior management, as a business partner with good verbal and written skills
+ Ability to work independently in a fast-paced environment, to be able to prioritize work, set goals and complete work by designated deadlines
+ Ability to build alliances, influence and negotiate to drive decisions; Positions oneself to be a partner to drive results along with key stakeholders and decision makers. Provide input/recommendations to the respective budget and financial impacts to the organization
**Education:**
+ Bachelors/University degree, Master's degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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**Job Family Group:**
Decision Management
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**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
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**Time Type:**
Full time
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**Primary Location:**
Irving Texas United States
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**Primary Location Full Time Salary Range:**
$138,720.00 - $208,080.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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**Anticipated Posting Close Date:**
Jul 08, 2025
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Who is Nexxen?
Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform (DSP) and supply-side platform (SSP), with the Nexxen Data Platform at its core. With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions.

Why join the Nexxen team?
With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego.

Nexxen is seeking a Senior Product Manager with deep experience in managing complex, technical product featuresespecially those powered by AI and machine learning (ML)within our Supply Side Platform (SSP). You will be at the forefront of driving innovation by identifying high-impact problems where AI/ML technologies can unlock revenue potential, increase operational efficiency, and deliver intelligent automation.

As a Senior Product Manager, you will lead initiatives across the full AI product lifecyclefrom opportunity identification and model integration to performance evaluation and continuous improvement. You will work closely with engineering, data science, and business stakeholders to define, deliver, and iterate on AI-powered capabilities that scale and differentiate our platform.

This role will be based in the Bellevue office. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest.

Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are:

What youll do:

• Deeply understand the needs of our business and customers to define resilient, intelligent, and scalable product solutions
• Champion the discovery, definition, and prioritization of AI and ML features that enable better yield optimization, traffic prediction, and fraud detection
• Collaborate closely with engineering and data science teams to evaluate the feasibility and impact of machine learning approaches
• Define product requirements, success metrics, and milestones specifically tailored for AI-powered features
• Work with ML teams to operationalize models, including A/B testing frameworks, model retraining pipelines, and feedback loops
• Identify and quantify long-term opportunities for machine learning and AI technologies to differentiate our SSP in the market
• Ensure AI/ML models are explainable, ethical, and aligned with customer and business needs
• Drive alignment across executive stakeholders by clearly communicating technical concepts and business value
• Partner with data engineering and DevOps to ensure data quality, monitoring, and deployment pipelines support high-performing AI systems

What You'll Bring:

• 5+ years of technical product management experience, including direct ownership of AI/ML product features
• Experience with ad tech platforms, ideally with exposure to SSPs, RTB protocols, and programmatic media
• Deep understanding of machine learning lifecycle: data collection, feature engineering, model training, deployment, monitoring
• Demonstrated experience working with data science and ML engineering teams in a cross-functional agile environment
• Bachelor's degree in Computer Science, Engineering, or a related technical field; an advanced degree or MBA is a plus
• Knowledge of common ML frameworks (e.g., TensorFlow, PyTorch, XGBoost) and data platforms (e.g., Snowflake, Spark, Airflow)
• An analytical mindset with the ability to translate business problems into technical solutions
• Strong leadership and communication skills with a track record of influencing cross-functional teams and executive stakeholders
• Experience driving data-informed decisions through metrics, experimentation, and customer feedback

Bonus Points:

• Prior experience in building AI-powered features such as traffic forecasting, content classification, anomaly detection, or recommendation systems
• Familiarity with real-time data processing pipelines and MLOps best practices
• Experience navigating the ethical and regulatory implications of deploying AI at scale

At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you dont match this job description perfectly, dont worry! We would rather see your application than risk missing out on your potential to make an impact.

In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $210,000 at the time of posting, with the potential of an incentive or bonus. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have.

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