At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper. 

We’re a bank. But we don’t think like one. We’re always thinking about what’s next. About how we can innovate. Inspire. And develop the tools our customers need to improve their financial lives. That’s where you come in. Your ideas, your experiences and your skills will help us make banking simpler. Working here is about doing bold things. And having that feeling like you belong right where you are. Because we’re doing cool work that lets you have a life outside of work. That’s life at Capital One. 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/

Industry: Financial Services
Company Size: 10,001+ employees

Capital One

Savvy Admin PROD

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, we built the tools the marketplace lacked to operate at scale. In 2022, we launched Capital One Software, bringing Slingshot and Databolt to the global B2B market.

We are seeking a Senior Director-level Field CTO to be the face of Databolt. You are a technically elite practitioner who is equally at home deep in a codebase or center-stage at a global conference. You will bridge the gap between our innovative product team and the world’s most regulated buying centers—CISOs, Chief Data Officers, and VP Data Engineers—helping them solve the "impossible" paradox: securing sensitive data (PII/PHI) without stifling AI and analytics innovation.

**Who You Are**

- The Voice of Data Security: You are a recognized thought leader with a public track record (talks, blogs, open-source contributions). You don't just explain features; you articulate the paradigm shift in data security.

- Technically Lethal: You can stand up a Databolt environment, navigate a complex Snowflake/Databricks architecture, and debate the merits of vault-less tokenization vs. traditional encryption with a security architect.

- Strategic Evangelist: You understand that winning in cybersecurity requires a robust channel ecosystem. You will partner with elite VARs and GSIs to educate their technical leaders and ensure they are ardent advocates of our technology.

**What You’ll Do**

- Keynote & Content: Be the premier technical voice for Databolt at major industry events (e.g., AWS re:Invent, Snowflake Summit, RSA). Create high-signal technical content, from white papers to architectural deep-dives.

- Executive Advisory: Serve as a "Field CTO" for our most strategic Global 2000 prospects, helping them build business cases that align risk reduction with business enablement.

- Channel Enablement: Work closely with our Channel Chief to educate technical teams at partners like Optiv, GuidePoint, and WWT. You will ensure their architects can credibly deploy and support our "0 to 1" solutions.

- Product Feedback Loop: Funnel technical insights from the field directly back to Product and Engineering to ensure our roadmap stays ahead of evolving compliance and AI needs.

**How You’ll Make an Impact Y ****ou ** will define the market's technical perception of Databolt. Success is measured by the growth of our technical community, our presence in industry-leading security conversations, and the speed at which our channel partners can independently implement our solution for the world's largest enterprises.

**Basic Qualifications:**

- Bachelor’s Degree or military experience

- At least 9 years of experience in technical roles (for example: Engineering, Architecture, or Technical Consulting)

- At least 5 years of experience in a public facing role ( for example: Technical Evangelist, Field CTO, or Developer Advocate) with a verified portfolio of public speaking and technical content (for example: guides, blogs, white papers, podcasts, webinars)

- At least 4 years of experience with cloud data platforms (Snowflake, Databricks) and cloud infrastructure (AWS, Azure, or GCP)

**Preferred Qualifications:**

- Experience as a CISO, CTO, or Lead Security Architect at a major enterprise or high-growth cybersecurity startup

- Experience building relationships within the cybersecurity channel ecosystem (VARs, GSIs, and Analyst communities like Gartner, Forrester)

- Demonstrated experience in 0 to 1 startup environments, building the technical narrative for a nascent product category

- Experience in data security frameworks (PCI-DSS, HIPAA, GDPR) and cryptographic concepts (Tokenization, Encryption, IAM)

~~At this time, Capital One will not sponsor a new applicant for employment authorization for this position.~~

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $286,200 - $326,700 for Sr. Dir, Software Engineering

McLean, VA: $314,800 - $359,300 for Sr. Dir, Software Engineering

New York, NY: $343,400 - $392,000 for Sr. Dir, Software Engineering

Richmond, VA: $286,200 - $326,700 for Sr. Dir, Software Engineering

San Francisco, CA: $343,400 - $392,000 for Sr. Dir, Software Engineering

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Director, Field CTO- Capital One Software (Remote)

Sparksoft helps the clients achieve their business objectives by providing Innovative, best-of-breed software products and technology solutions at substantial cost savings. Sparksoft Team has considerable industry experience with wide range of leading companies.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

Sparksoft Corporation

Join us at Sparksoft, where we're not just another tech company—we're a catalyst for change. Our mission isn't just to offer IT solutions; it's to revolutionize the way you work. Here, passion isn't just a buzzword; it's the fuel behind groundbreaking ideas and transformative technologies. We serve a wide range of government clients, delivering impact that's felt across the nation.

Our true strength lies in our people. They're the problem-solvers and innovators consistently delivering extraordinary outcomes. With Sparksoft, you're not stepping into a routine job; you're joining a team committed to innovation and excellence. Our innovation extends beyond just delivering projects. Through our specialized Innovation Centers, we continuously refine our methods, ensuring we remain industry leaders.

We are Sparksoft!

Join Sparksoft’s Office of the Chief Data Officer as a Data Science Intern and contribute to impactful data-driven projects that support critical federal programs. In this role, you’ll transform public and corporate datasets into actionable insights through dashboards and visualizations. You’ll work alongside experienced data professionals, applying advanced analytics and machine learning techniques to solve real-world challenges. This internship offers hands-on experience with modern tools and methodologies while helping advance data innovation in the public sector.

**ROLE & RESPONSIBILITIES:**

- Develop interactive dashboards and visualizations using analytic languages and tools to communicate complex data clearly.

- Apply machine learning techniques for predictive analytics and hypothesis testing on diverse datasets.

- Collaborate with data scientists and stakeholders to identify trends and deliver actionable insights.

- Assist in data cleaning, preparation, and integration from multiple sources for analysis.

-  Document processes and findings to support transparency and reproducibility.

**REQUIRED EXPERIENCE:**

- Experience performing data visualization and analysis.

- Hands-on experience with machine learning for predictive analytics and hypothesis testing.

- Strong analytical thinking and problem-solving abilities.

- Ability to work collaboratively in a fast-paced, mission-driven environment.

- Excellent communication skills for presenting technical concepts to non-technical audiences..

- Candidates must be able to obtain and maintain a Public Trust clearance.

- Candidates must have lived in the United States 3 out of the past 5 years

**PREFERED EXPERIENCE:**

- Familiarity with Python and Java for data processing and modeling.

- Exposure to modern data platforms or cloud environments (e.g., AWS, Azure).

**EDUCATION & CERTIFICATIONS:**

- Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.

**WHAT WE OFFER:**

At Sparksoft, we know that people do their best work when they feel supported, inspired, and connected. That’s why we’ve built a workplace that balances comprehensive benefits with a culture of collaboration and innovation. From flexible time off to professional growth opportunities, we’re committed to helping you thrive both inside and outside of work. When you join Sparksoft, you’ll enjoy:

- Competitive compensation and a 401(k) with employer contributions to help you plan for the future

- Flexible paid time off and hybrid ways of working that support true work-life balance

- Comprehensive health coverage—including medical, dental, vision, life, and disability insurance

- A curated in-office experience designed to foster community, team connections, and innovation

- Opportunities to give back through Sparksoft Cares, including annual company-wide fundraising events

- Training and development programs that build new skills and prepare you for leadership roles

- A collaborative, transparent, and fun culture—recognized as a Great Place to Work®

**Accessibility and Accommodations: ** Sparksoft Corporation is committed to providing equal employment opportunities to all individuals. If you require accommodations during the application or interview process, please contact us at Sparksoft.Accommodations@sparksoftcorp.com or call 410-424-7700. Requests are reviewed and fulfilled on a case-by-case basis.

**Security Notice: **Your privacy and data security are important to us. Sparksoft Corporation will never request sensitive personal information via email. If you receive any suspicious communication claiming to be from Sparksoft, please report it immediately to our security team at abuse@sparksoftcorp.com.

**Artificial Intelligence (AI) Policy: ** While Sparksoft recognizes the value of artificial intelligence in the workplace, our hiring process is designed to assess each candidate’s individual skills, judgment, and problem-solving abilities. To maintain the integrity of this process, the use of AI tools at any stage of the application or interview is strictly prohibited. Violations of this policy may result in disqualification from consideration.

Data Science -Intern

HG Insights, the provider of data-driven insights to 75% of tech companies in the Fortune 100, is your go-to-market Technology Intelligence partner. 

We use advanced insights into Technology Intelligence — on IT spend, technographics, cloud usage, intent signals, Functional Area Intelligence, and contract details — to provide global B2B companies with a better way to analyze markets and target prospects. Our customers achieve unprecedented results in their marketing and sales programs thanks to the indexing of billions of unstructured documents each day with insights into product adoption, usage, spend data, and more to build high-resolution maps of activity across an organization’s entire digital infrastructure to power business decisions with precision and confidence.

Industry: Software Development
Company Size: 51-200 employees

HG Insights

**About HG Insights **

HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI-driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making.

Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

**Role Overview **

The Staff/ Senior/ Applied Data Scientist - Research is a collaborative analytical partner to the Head of Data Science, contributing to the design and validation of GTM insights that power the Contextual Intelligence initiative.

You will co-develop insight logic, selecting signals, designing scoring frameworks, prototyping models in Python, and validating outputs. You will also contribute to the production-ready briefs that are implemented in the data production pipeline by the engineering team.

This role sits at the intersection of statistical modeling, structured data analysis, and applied AI. You are comfortable reasoning about how to measure something rigorously, how entities and relationships in a knowledge graph can be leveraged, and how to use LLMs as a practical tool in the insight development workflow, not as a subject of research, but as part of the toolkit.

**What You Will Do **

**Insight & Model Development **

- Co-develop scoring frameworks and metrics models, contributing to signal selection, weighting logic, and model structure across a range of GTM insight types (acquisition, expansion, retention, strategic)

- Prototype insight logic in Python notebooks: assembling features from HG's structured data assets, implementing model components, and stress-testing outputs.

- Design and run validation experiments to confirm that insight outputs are directionally correct, well-calibrated, and meaningful across the full vendor universe

- Contribute to ontology and entity design, thinking through how vendors, products, companies, and relationships should be structured to support a given insight, informed by a conceptual understanding of the knowledge graph schema

**Production Brief Development **

- Translate insight designs into clear, implementation-ready production briefs

- Document model specifications precisely: component definitions, feature engineering, aggregation logic, edge case handling, and expected output distributions

- Participate in handoff reviews with the production function, answering implementation questions and refining specs based on feasibility feedback

**Insight Research & Discovery **

- Contribute to the prioritized insights catalog, researching new insight ideas, assessing data availability, and framing feasibility

- Stay current on GTM data science approaches, competitive intelligence methodologies, and relevant analytical techniques that could expand the insight library

**What We're Looking For **

**Core Skills **

- Statistical modelling depth: Ability to design and implement a range of scoring and metrics models from first principles; comfortable with component weighting, normalization, signed rate-of-change metrics, composite aggregation, and distribution analysis; knows when a technique is appropriate and why

- Python for analytical prototyping: Strong notebook-based Python for data manipulation, feature construction, model prototyping, and output validation; pandas, NumPy, and Scikit are daily

- SQL: Proficient in querying structured data at scale; used for signal extraction, feature derivation, and validation checks across large vendor and company datasets

- Analytical rigor & validation thinking: Ability to critically evaluate whether a model is measuring what it claims to measure; designs validation experiments, checks edge cases, and flags when outputs don't pass a sanity check

- Clear technical communication: Able to translate analytical logic into precise written specifications; the production brief is a key deliverable

**Applied AI & Graph Literacy **

- LLM API usage: Hands-on experience using Claude, GPT, or equivalent APIs as a practical tool; can design effective prompts, integrate LLM steps into an analytical workflow, and evaluate output quality critically

- Knowledge graph concepts: Conceptual understanding of how entities, relationships, and properties are structured in a graph; able to reason about how graph-derived features (e.g., vendor-product-company traversals) should inform insight design, without necessarily writing production Cypher

**Nice to Have **

- GTM/Management Consulting, or IT Research experience, familiarity with concepts like install base, intent signals, competitive intelligence, and market analysis. Experience writing Cypher or querying graph-structured data directly

- Experience working collaboratively with engineering, product and GTM teams

- Experience in a B2B SaaS or data products environment

**Tools & Environment **

**Primary **

- Python (pandas, NumPy, scipy, Jupyter)

- SQL

- LLM APIs (Claude, GPT)

- Git and version control

**Working Knowledge **

- Databricks

- Cloud storage

- Knowledge graph concepts

Staff/Senior Applied Data Scientist - Research

Healthix is the largest public Health Information Exchange (HIE) in the nation, serving New York City and Long Island. We collect data from more than 2,000 organizations, across 9,000 healthcare facilities for +21 million patients. We are devoted to developing, deploying and operating innovative uses of interoperable health information technology and analytics to facilitate patient-centric care and promote improved health care quality, coordination, and outcomes for New Yorkers.

Healthix was formed through several mergers, including NYCLIX, LIPIX, BHIX, and, most recently, NYCIG. Healthix brings to bear a great deal of expertise in delivering health information exchange services, access to clinical data and the tools to support improved outcomes for patients.

Among the key objectives for Healthix is expanding health information exchange (HIE) among its Participants while shaping a robust relationship with the New York eHealth Collaborative (NYeC) for development of the State Health Information Network for New York (SHIN-NY).

Nationally recognized as a leader in advancing health information exchange, Healthix fosters improvements in community clinical connectivity. Healthix has developed a portfolio of products and services that provide cost-effective access to a broad range of clinical information and related functionality to enhance patient care and the overall well-being of New Yorkers.

Industry: Hospitals and Health Care
Company Size: 51-200 employees

Healthix

**JOB TITLE: ** Data Analyst

**REPORTS TO: ** Director of Data Strategy and Reporting

**DEPARTMENT: ** IT

**HOURS: ** 40 Hours

**FLSA STATUS: ** Exempt

**SALARY: **$90k-125k

**POSITION SUMMARY: **

The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization’s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination – data stores defined and implemented based on system requirements and data consumer requirements.

Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning.

The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment.

Data Analyst

DeepIntent is the healthcare advertising platform marketers trust to drive effective campaigns. Purpose-built for healthcare and privacy-safe, the DeepIntent platform unites media, identity, and clinical data to produce industry-defining health intelligence. Consistently proven to deliver real-world results based on real-time optimization, the DeepIntent platform powers more than 600 pharmaceutical brands and all the leading healthcare agencies to innovate, differentiate, and reach their audiences across all channels and devices.

Industry: Advertising Services
Company Size: 201-500 employees

DeepIntent

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

**What You’ll Do**

DeepIntent is seeking an experienced Senior Director of Data Science to help lead our global data science organization and advance the next generation of data innovation in healthcare advertising technology. In this role, you will lead a team focused on advanced modeling, optimization, and AI initiatives that enable healthcare marketers to connect patients, providers, and brands responsibly and effectively.

The Senior Director, Data Science will help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes. This role will collaborate with data scientists across the U.S., Europe, and India while partnering closely with product, engineering, and commercial leaders to deliver scalable, data-driven solutions.

**Strategic & Organizational Leadership**

- Partner with executive and cross-functional leadership to translate data science capabilities into scalable, compliant, and commercially impactful solutions.

- Help execute the global data science roadmap supporting DeepIntent’s mission to transform healthcare marketing through data and technology.

- Lead and mentor a distributed team of data scientists across the U.S., Europe, and India.

- Foster a culture of innovation, experimentation, and collaboration across teams.

- Contribute to strategic planning and help identify new opportunities where advanced analytics and AI can drive business impact.

**Healthcare-Focused Data Science & AI**

- Develop and optimize predictive and causal models for patient and provider targeting, audience segmentation, and campaign performance measurement.

- Oversee the development and deployment of machine learning models supporting real-time bidding, healthcare audience modeling, and privacy-first identity resolution.

- Integrate real-world data (RWD), claims data, and digital engagement signals into scalable machine learning pipelines.

- Ensure models and data science practices align with healthcare privacy standards including HIPAA and other global regulatory frameworks.

**Data Infrastructure & Governance**

- Collaborate with engineering, product, and data partnerships teams to strengthen our data infrastructure supporting large-scale, multi-market model deployment.

- Implement best practices in feature engineering, reproducible research, and ML Ops to improve experimentation speed and reliability.

- Partner with legal and compliance teams to ensure responsible AI development and ethical use of healthcare data.

**Cross-Functional Collaboration**

- Work closely with Product, Engineering, Data Partnerships, and Commercial teams to design data-driven solutions that improve targeting precision, optimize media performance, and enhance client outcomes.

- Translate complex modeling outputs into actionable insights for internal stakeholders and clients.

**Who You Are**

- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field

- Master’s or Ph.D. in Computer Science, Statistics, Mathematics a plus

- 8+ years of experience in data science, machine learning, or advanced analytics roles.

- 5+ years of people management experience managing data science or analytics teams.

- Experience working with healthcare data, adtech platforms, or marketing analytics environments.

- Strong understanding of programmatic advertising, identity resolution, and healthcare data ecosystems (claims, RWD, HCP and patient data).

- Advanced experience with Python, SQL, Spark, and modern machine learning frameworks (TensorFlow, PyTorch, XGBoost).

- Strong foundation in statistics, causal inference, and measurement methodologies for media effectiveness and attribution.

- Excellent communicator capable of translating complex technical concepts to business stakeholders and clients.

- Experience working with healthcare compliance frameworks (HIPAA, GDPR, CCPA) and privacy-aware data science practices.

- Comfort working in global, cross-functional environments across multiple time zones.

- Passion for applying data science and AI to improve healthcare marketing outcomes.

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $185,000 - $220,000. The base salary range takes into consideration each candidate's skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here's what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

Sr Director, Data Science

Industry: Software Development
Company Size: 51-200 employees

Netrolynx AI

**About The Company**

USAA is a leading financial services organization dedicated to serving members of the military community and their families. Our mission is to empower our members to achieve financial security by offering highly competitive products, exceptional service, and trusted advice. With a strong commitment to integrity, honesty, loyalty, and service, USAA strives to be the preferred choice for military personnel and their loved ones. We foster a culture of innovation, collaboration, and continuous improvement, ensuring that our members receive the best possible support and solutions. Our organization values diversity, inclusion, and professional development, making USAA a dynamic and rewarding place to build a career.

**About The Role**

We are seeking a highly skilled and experienced Director of Data Science to lead our team of data scientists. In this strategic role, you will be responsible for translating complex business challenges into innovative analytical solutions utilizing statistical models, machine learning, simulation, and optimization techniques. Your leadership will drive the development of scalable, automated solutions that generate actionable insights, enhance revenue, and reduce costs and risks. You will collaborate closely with business leaders to identify opportunities, scope projects, and ensure alignment with organizational objectives. Additionally, you will oversee the management of the team's project portfolio, maintain compliance with model risk policies and regulatory standards, and influence the future direction of data science initiatives at USAA. This role offers flexibility to work remotely within the continental U.S., with occasional travel, and requires on-site presence for individuals within a 60-mile radius of USAA offices.

**Qualifications**

The ideal candidate will possess a strong academic background with a bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, engineering, or related fields. Alternatively, extensive professional experience (minimum of 8 years) in predictive modeling, machine learning, and large data analysis can substitute formal education. A master's degree or higher (e.g., PhD) in a relevant STEM discipline, with at least 6 years of relevant experience, is preferred. Proven leadership experience with at least 3 years of direct management is essential. Candidates should demonstrate excellent communication skills, capable of translating complex technical insights to diverse audiences, including senior executives. Technical proficiency in programming languages and tools such as SQL, Python, R, Spark, and Hadoop is required. Experience with a broad range of modeling techniques, including linear and logistic regression, time series analysis, neural networks, decision trees, and clustering methods, is vital. A solid understanding of model governance, regulatory compliance, and best practices in AI/ML deployment is also necessary. Candidates should showcase a track record of delivering impactful data science solutions and fostering talent within their teams.

**Responsibilities**

- Serve as a thought leader and strategic advisor to business units, shaping analytics strategies that enhance competitiveness and market differentiation.

- Influence and collaborate with business, data, and technology leaders to invest in and expand advanced analytical capabilities through strategic planning and budgeting.

- Lead and mentor a team of data scientists, fostering a collaborative environment focused on building and deploying innovative analytical solutions in an agile manner.

- Identify, scope, and manage complex analytical projects by working closely with stakeholders, translating technical results into clear business insights.

- Champion efforts to deliver scalable, automated insights using machine learning, simulation, and optimization techniques.

- Ensure all modeling and machine learning solutions comply with industry standards, model risk policies, and regulatory requirements.

- Partner with enterprise analytical and IT teams to develop core capabilities and streamline processes across the organization.

- Assess resource needs, including technology investments, third-party support, or additional personnel, to support project execution.

- Oversee recruitment, development, and retention of team members, providing coaching and performance management to foster growth and excellence.

- Monitor and mitigate risks associated with analytical activities, ensuring adherence to compliance and risk management policies.

**Benefits**

USAA offers a comprehensive benefits package designed to support the physical, financial, and emotional well-being of our employees. Benefits include extensive medical, dental, and vision coverage, a 401(k) plan, pension options, life insurance, parental leave, adoption assistance, and paid time off that encompasses holidays and volunteer hours. We also provide wellness programs and initiatives aimed at promoting a healthy lifestyle. Our commitment to professional growth is reflected in our career development opportunities, ongoing education, and support for achieving individual and organizational goals. We strive to create a positive, inclusive work environment where employees feel valued, supported, and empowered to succeed.

Equal Opportunity

USAA is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace where all qualified applicants receive fair consideration regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. We believe that diversity enhances our organization and enables us to better serve our members and communities. We encourage individuals from all backgrounds to apply and join our team in making a meaningful impact.

Data Scientist

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