Data Engineer jobs at Lincoln Financial Group - 2096 jobs
Data Engineer Analyst
Lincoln Financial Group 4.6
Data engineer job at Lincoln Financial Group
Alternate Locations: Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina) Work Arrangement: Hybrid : Employee will work 3 days a week in a Lincoln office
Requisition #: 74460
The Role at a Glance
The Customer360 is Lincoln Financials' enterprise data lake and mastering platform with hands-on support for advanced analytics, machine learning and AI, and service integrations across the technology portfolio including actuarial, digital and web and product platforms. A DataEngineer on the Customer360 team supports the platform architecture, design and implementation of enhancements, surfaces and vets emerging capabilities and partners with teams across the enterprise to implement their business cases.
What you'll be doing
* Organizes, interprets, and analyzes more complex data across their area of responsibility to support business and corporate strategic goals.
* Familiarity with several programming languages and knowledge of learning machine methods commonly used in data science applications
* Build or support creation of data models and pipelines
* Evaluate business needs and objectives of our users, assist in project scoping.
* Help prepare data for prescriptive and predictive modeling.
* Combine raw and provisioned information from different data sources.
* Explore ways to enhance data quality and reliability and develop procedures to implement improvements.
* Identify opportunities for data acquisition across Lincoln's systems.
* Ability to collaborate with business stakeholders, data scientists and architects on simple to complex projects.
* Identifies and recommends process improvements that significantly reduce workloads or improve quality for their assigned area(s) of responsibility.
* Maintains an understanding of how the data contained in the various systems are utilized, and is able to triangulate various aspects of the data into a usable format to support decision making.
* Serves as a resource to advise management & business stakeholders on use of quality business analytics, tools, and methods to improve efficiency, accuracy, and interpretation of various business metrics.
What we're looking for
Must-Have Experience (Required):
* 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of Bachelor's) in DataEngineering (Minimum Required)
* 1 - 3+ Years of dataengineering experience, which can include internships while completing a degree.
* Working knowledge of AWS services EKS, EC2, S3, Cloudwatch and others
* Working knowledge of code based CICD ETL programs using Gitlab with AWS
* Foundational knowledge of Dataiku or similar Data Science Modelling and Automation Platforms
* Foundational knowledge of visualization tools (Tableau, PowerBI)
* Foundational knowledge of various languages like SQL and Python
* Working knowledge of API service integrations
Application Deadline
Applications for this position will be accepted through Decenber 31, 2025, subject to earlier closure due to applicant volume.
What's it like to work here?
At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future.
What's in it for you:
* Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes
* Leadership development and virtual training opportunities
* PTO/parental leave
* Competitive 401K and employee benefits
* Free financial counseling, health coaching and employee assistance program
* Tuition assistance program
* Work arrangements that work for you
* Effective productivity/technology tools and training
The pay range for this position is $69,000 - $124,600 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln's total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln's standard benefits package.
About The Company
Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services.
With our 120-year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach.
Lincoln Financial Distributors, a broker-dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life & Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice.
Lincoln is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Follow us on Facebook, X, LinkedIn, Instagram, and YouTube. For the latest company news, visit our newsroom.
Be Aware of Fraudulent Recruiting Activities
If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.
Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. Please contact Lincoln's fraud team at ******************** if you encounter a recruiter or see a job opportunity that seems suspicious.
Additional Information
This position may be subject to Lincoln's Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln's current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.
Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees.
Lincoln Financial is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex (including pregnancy), age, national origin, disability, sexual orientation, gender identity and expression, Veteran status, or genetic information. Applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling ************.
This Employer Participates in E-Verify. See the E-Verify notices.
Este Empleador Participa en E-Verify. Ver el E-Verify avisos.
Nearest Major Market: Philadelphia
Job Segment: Data Analyst, Database, SQL, Accounting, Actuarial, Data, Technology, Finance, Insurance
$69k-124.6k yearly 60d+ ago
Looking for a job?
Let Zippia find it for you.
Lead Data Engineer (Intelligent Foundations and Experiences)
Capital One 4.7
Plano, TX jobs
Lead DataEngineer (Intelligent Foundations and Experiences) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking DataEngineers who are passionate about marrying data with emerging technologies. As a Capital One Lead DataEngineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed.
What You'll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Basic Qualifications:
Bachelor's Degree
At least 4 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
7+ years of experience in application development including Python, SQL, Scala, or Java
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
4+ year experience working on real-time data and streaming applications
4+ years of experience with NoSQL implementation (Mongo, Cassandra)
4+ years of data warehousing experience (Redshift or Snowflake)
4+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
McLean, VA: $193,400 - $220,700 for Lead DataEngineer
Plano, TX: $175,800 - $200,700 for Lead DataEngineer
Richmond, VA: $175,800 - $200,700 for Lead DataEngineer
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 ************** 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 **********************
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).
$77k-99k yearly est. Auto-Apply 4d ago
Lead Software Engineer, Back End
Capital One 4.7
Plano, TX jobs
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You'll Do:
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Basic Qualifications:
Bachelor's Degree
At least 4 years of professional software engineering experience (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
Master's Degree
7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
2+ years of experience with AWS, GCP, Azure, or another cloud service
4+ years of experience in open source frameworks
1+ years of people management experience
2+ years of experience in Agile practices
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
McLean, VA: $193,400 - $220,700 for Lead Software Engineer
Plano, TX: $175,800 - $200,700 for Lead Software Engineer
Richmond, VA: $175,800 - $200,700 for Lead Software Engineer
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 ************** 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 **********************
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).
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking a Network & DevOps Engineering leader who is passionate about network automation with emerging technologies to join our team. As a Network & DevOps Engineering leader, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One's foundational cloud infrastructure layer, including observability, connectivity, resilience and availability.
What You'll Do:
Lead a team managing a portfolio of diverse technology projects and developers specializing in automation, distributed microservices, and back-end systems to automate on-premise and cloud network platforms.
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive intent based networking and automation.
Utilize programming languages like Java, Python, SQL, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services. Additionally work with automation platforms such as Itential.
Collaborate with on-premise network infrastructure and colocation stakeholders to automate repetitive tasks and identify opportunities for efficiency.
Lead a software engineering team responsible for identifying automation opportunities, designing, developing, and deploying solutions aimed at reducing manual effort, overhead, and streamlining infrastructure management.
Spearhead inter-team solutions to automate compliance and control management initiatives.
Basic Qualifications:
Bachelor's degree
At least 6 years of experience in DevOps Engineering (Internship experience does not apply)
At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
At least 6 years of Unix or Linux system administration experience
At least 4 years of experience in people management
Preferred Qualifications:
7+ years of DevOps Engineering experience
5+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby)
4+ years of experience in infrastructure automation (on-prem and cloud), implementation and delivery
3+ years of experience with monitoring tools (Splunk or Zabbix)
3+ years of experience with Container orchestration services including Docker or Kubernetes
3+ years of experience working with Agile Development Practices
3+ years of experience working in SRE environment
Capital One will consider sponsoring a new qualified 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.
McLean, VA: $229,900 - $262,400 for Sr. Mgr, Software Engineering
Plano, TX: $209,000 - $238,500 for Sr. Mgr, Software Engineering
Richmond, VA: $209,000 - $238,500 for Sr. Mgr, 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 ************** 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 **********************
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).
$84k-102k yearly est. Auto-Apply 4d ago
Staff Data Platform Engineer for AI & Analytics
Social Finance, Inc. (SoFi 4.5
San Francisco, CA jobs
A leading financial services company in San Francisco is seeking an experienced Staff Software Engineer for their Data Platform group. The role involves driving technical architecture, mentoring team members, and optimizing data systems. Ideal candidates possess over 10 years of software engineering experience, strong programming skills, and a collaborative mindset. This position offers competitive remuneration and opportunities for professional growth.
#J-18808-Ljbffr
$138k-179k yearly est. 4d ago
Applied Data Scientist - Finance/Trading Analytics
The Voleon Group 4.1
Berkeley, CA jobs
A leading financial technology firm is looking for an entrepreneurial Data Scientist to build data analysis frameworks. This role involves harvesting insights from complex data and requires 1+ years of experience with datasets. Responsibilities include ensuring data correctness and performing analyses on trading systems. The base salary ranges from $150,000 to $190,000, complemented by a comprehensive benefits package including medical coverage and paid time off.
#J-18808-Ljbffr
$150k-190k yearly 2d ago
Data Scientist
The Voleon Group 4.1
Berkeley, CA jobs
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals.
In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
The Voleon Group is forming a new team to help advance our data-driven investment initiatives. As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business.
Responsibilities
Design and implement systems to ensure data correctness and monitor data healthin data stores and live feeds
Proactively identify abnormalproductionbehavior and communicate them clearly to relevant stakeholders
Performextemporaneousanalyseson research and production trading systems with leadership
Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems
Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring
Requirements
1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization
Experience using statistical methodsto analyze data,identify patterns, conduct root cause analysis, discover insights, and recommend solutions
Ability toframe and answerquestions mathematically
Ability to infer useful forward-looking directions from results of retrospective analysis
Fluency in managing, processing, and visualizing tabular datausing a combination of SQL, Pandas, and R
Basic software development skills and experience with bash, linux/unix, and git
Ability to refine requirements from ambiguous requests toproduce reports demonstrating excellence in communication
Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)
Preferred
Master's degree in a quantitative discipline
Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships
Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow
Compensation
The base salary range for this position is $150,000 to $190,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.
“Friends of Voleon” Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use thisformto submit your referral. For more details regarding eligibility, terms, and conditions, please make sure to review the Voleon Referral Bonus Program.
Equal Opportunity Employer
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Vaccination Requirement
The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon's ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.
#LI-MD1
#J-18808-Ljbffr
$150k-190k yearly 3d ago
Data Architect (2 positions)
Banking Soft Solutions LLC 4.1
San Jose, CA jobs
At Banking Soft Solutions (BSS) LLC, our mission is to launch a new Cryptocurrency exchange called ‘Marai-X'. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging on-chain platform - and with it, the future global financial system.
Our team is dedicated to eliminating customer pain points, resolving the current challenges of existing Cryptocurrency exchanges such as weaker protection against hackers, making users keep assets on the exchanges, and high transaction fees.
To achieve our mission, we're seeking a very specific candidate. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high-caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.
As a Data Architect, you will serve as a Backend DB and Interface Architect for specific modules in the cryptocurrency exchange. Aligned with our mission to deliver outstanding support, you will work closely with developers, software programmers, and QA testers to ensure compliance with audit requirements, generate actionable insights, and share key findings with stakeholders. You'll have the opportunity to work on a high-impact project in the trillion-dollar Cryptocurrency market. We're not just building systems; we're creating a scalable, high-performance exchange that makes a real difference in the crypto world. We prioritize design quality, customer focus, and rapid iteration.
Please note that this role is expected to report onsite at our corporate office in San Jose, CA.
We are looking to fulfill 2 positions for this same role.
Your Role and Responsibilities:
Design a centralized Crypto Currency Exchange (Marai-X) with a web interface, admin dashboard, mobile apps, and trading engine.
Design features including onboarding, crypto wallet, charts, order book, transaction history, and portfolio analytics.
Design crypto staking, cold wallet integration, credit card integration, P2P crypto trading, KYT practices, exchange token, and API endpoints.
Collaborate with engineering leaders to define crypto exchange visions and translate them into technical roadmaps.
Lead the design and review of new and existing system architecture.
Conduct deep research into current platforms and identify areas for optimization.
Create documentation, diagrams, and presentations to communicate architectural strategies.
Mentor and coach developers to cultivate technical leadership.
Architect integration patterns for Developer Platforms and test environments.
Develop technical standards, blueprints, and design patterns for internal tools.
Implement developer-focused solutions like portals and API gateway integrations.
Evaluate strategic architecture investments and technologies.
Prioritize scalability, security, traceability, and observability in designs.
Guide technology investment decisions aligned with industry standards.
Apply organizational principles such as Conway's Law to system design.
Lead cross-functional architecture reviews and maintain design records.
Support teams in incident management and RCA processes.
Collaborate to reduce inefficiencies and redundant development efforts.
Mentor teams and advocate engineering excellence and innovation.
Communicate technical concepts clearly across all stakeholder levels.
Develop with blockchain tools, smart contracts, and decentralized platforms.
Drive architectural decisions in a fast-paced startup environment.
Qualifications:
Education: 4-year bachelor's degree in a relevant field or 3 years of relevant work experience.
Creativity, pragmatism, and empathy in solving technical and business challenges.
A love of technology and a growth mindset.
Strong communication skills in written, verbal, and visual formats.
Experience designing large-scale, complex software systems with strategic outcomes.
Proven ability in mentoring engineers and developing talent.
Experience with high-volume platforms, cloud technologies, and modern architectures.
Strong knowledge of systems design, distributed systems, and enterprise architecture.
Core Competencies:
Mission-driven: Commitment to BSS's mission and enhancing customer experience.
Problem solver: Strong analytical and solution-oriented mindset.
Expert calibrator: Skilled in communication, negotiation, and alignment handling.
Project management: Ability to manage and execute architecture-focused projects.
Reporting management: Skilled in dashboards, documentation, and presentations.
Stakeholder management: Able to engage and influence across the organization.
Time management: Excellent prioritization and deadline management.
Nice to Haves:
Familiarity with crypto exchange or banking systems.
Knowledge of AI capabilities for developer productivity.
Expertise in Solidity, Rust, or Move.
Backend skills in Node.js, Go, or Python.
Proficiency in Web3.js, Ethers.js, or Polkadot.js.
Experience with Ethereum, Hyperledger, or Solana.
Knowledge of cryptography, consensus, and layer-2 solutions.
Experience with Docker, Kubernetes, AWS, or GCP.
Understanding of blockchain security practices.
Prior supervisory or team leadership experience.
Background in customer support or account management.
Basic knowledge of cryptocurrency and change management.
#J-18808-Ljbffr
$126k-173k yearly est. 4d ago
Distinguished Data Engineer - Card Data
Capital One 4.7
San Francisco, CA jobs
Distinguished DataEngineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.**About the Team:** Capital One is seeking a Distinguished DataEngineer, to work in our Credit Card Technology DataEngineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in DataEngineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank's core profitability and security, this is your team.This leader must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics.**Our Distinguished Engineers Are:*** Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices* Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates* Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community* Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities**Responsibilities:*** Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in* Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team* Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible* Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization* Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner* Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent**Basic Qualifications:*** Bachelor's Degree* At least 7 years of experience in dataengineering* At least 3 years of experience in data architecture* At least 2 years of experience building applications in AWS**Preferred Qualifications:*** Masters' Degree* 9+ years of experience in dataengineering* 3+ years of data modeling experience* 2+ years of experience with ontology standards for defining a domain* 2+ years of experience using Python, SQL or Scala* 1+ year of experience deploying machine learning models* 3+ years of experience implementing big data processing solutions on AWS***Capital One will consider sponsoring a new qualified applicant for employment authorization for this position***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 . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
#J-18808-Ljbffr
$106k-144k yearly est. 3d ago
Senior Data Engineer, Card Data Platform
Capital One 4.7
San Francisco, CA jobs
A financial services company in San Francisco seeks a Distinguished DataEngineer to lead innovation in data architecture and management. The role involves building critical data solutions, mentoring teams, and leveraging cloud technologies like AWS. Ideal candidates will have significant experience in dataengineering, a Bachelor's degree, and proficiency in modern data practices to drive customer value through analytics and automation.
#J-18808-Ljbffr
$106k-144k yearly est. 1d ago
Head of Data Science
Varo Money, Inc. 4.4
San Francisco, CA jobs
Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us.
We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision‑making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, DataEngineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending.
What you'll be doing
Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals.
Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision‑making.
Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions.
Data Integrity & Risk: Work closely with DataEngineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency.
Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately.
Team Leadership & Mentorship: Attract, hire, mentor, and coach a high‑performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross‑functional collaboration.
You'll bring the following required skills and experiences
8+ years of experience in Data Science, Applied Science, or a related quantitative field.
Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement).
Technical Fluency: Expert‑level proficiency in Python and its scientific computing stack (Pandas, Scikit‑learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real‑world datasets.
Data Ecosystem Experience: Hands‑on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure).
Leadership Acumen: Demonstrated ability to thrive in a fast‑paced environment, attract high‑quality talent, and drive a data‑informed culture.
$250,000 - $300,000 a year
For cash compensation, we set standard ranges for all US‑based roles based on function, level, and geographic location, benchmarked against similar‑stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range.
This role is also eligible for a bonus, equity, and competitive benefits.
We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you!
About Varo
Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all‑digital, mission‑driven, FDIC‑insured, and designed around the modern American consumer.
As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer‑first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system.
Learn more about Varo by following us:
Facebook - **********************************
Instagram - **************************
LinkedIn - *****************************************
Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Beware of fraudulent job postings!
Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail ********************* with the pertinent information and contact information.
CCPA Notice at Collection for California Employees and Applicants:
****************************************
#J-18808-Ljbffr
$250k-300k yearly 19h ago
Principal Data Scientist - Product
Gusto 4.5
San Francisco, CA jobs
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve.
About the Role
Gusto is looking for highly skilled, motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive.
In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto.
Here's what you'll do day‑to‑day:
Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high‑leverage opportunities, set long‑term measurement and experimentation direction, and align executive stakeholders around data‑driven priorities.
Execution Excellence: Drive and execute on org‑level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains.
Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org‑wide decision quality.
Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data‑informed strategy across the org.
Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI‑assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact.
Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling.
Here's what we're looking for:
10+ years of experience in Data Science at a product‑focused software company.
Strong SQL and Python skills.
Proven ability to apply statistical methods, causal inference, and experimental design to real business problems.
Experience developing Machine Learning models is a plus.
Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership.
Demonstrated experience leading large, technically complex projects with clear business impact.
A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights.
Passion for mentoring others and raising the bar for data science craft across the team.
BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience.
Compensation
Our cash compensation range is $170,000-$210,000 per year in Denver, $185,000-$225,000 in Los Angeles, and $200,000-$240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise.
Work Location
Employees based in Denver, San Francisco, and New York City are expected to work from the office on designated days approximately 2-3 days per week. The same expectations apply to all Gusto roles in these locations.
EEO Statement
Gusto is an equal‑opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy and related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
#J-18808-Ljbffr
$200k-240k yearly 4d ago
Lifecycle Marketing Data Scientist - Campaigns & Modeling
Wealthfront Corporation 4.6
Palo Alto, CA jobs
A leading financial technology company in Palo Alto seeks a Data Scientist to join its Lifecycle Marketing team. The role involves maximizing lead conversion and optimizing client engagement through personalized campaigns. Ideal candidates should have a Masters or PhD and 4-8+ years of experience, with strong skills in Python, SQL, and Statistics. This position offers a salary range of $164,000 - $184,000, plus benefits including medical, vision, and professional development.
#J-18808-Ljbffr
$164k-184k yearly 1d ago
Data Scientist, Lifecycle Marketing
Wealthfront Corporation 4.6
Palo Alto, CA jobs
The Wealthfront Data Science team utilizes our rich financial and behavioral data to influence Marketing, Product and information security decisions. The team draws from backgrounds in Computer Science, Natural Sciences, Statistics, Operations Research, Economics and Finance.
The Data Scientist in this role will be primarily embedded within Wealthfront's Lifecycle (LC) Marketing team. The objectives of the LC Marketing team are maximizing lead conversion and optimizing client engagement. The team addresses these goals by designing and executing personalized campaigns delivered via Emails, InApp merchandising, and push notifications.
The set of potential projects for this role includes (but is not limited to) client segmentation, campaign design and analysis, and client value modeling. A successful Lifecycle Marketing Data Scientist employs a combination of economic intuition, first-principles mathematical modeling, statistics (including causal inference) and machine learning.
A key desired trait for this role is an ability to collaboratively create experiments based on clients' hypothesized pain points, aspirations, and moments of delight. An ideal candidate will also act as a mentor to junior team members and demonstrate an ability to explain technical concepts in a simple language.
Responsibilities
Suggest and analyze Lifecycle Marketing campaigns rooted in clients' delight and friction.
Employ and exemplify rigor in mathematical analyses and sound design principles in software development.
Collaborate with the Lifecycle Marketing team to define quarterly and yearly initiatives.
Turn initiatives into projects with clear rationale, candidate approaches and milestones.
Execute planned projects through hands‑on work and delegation. This includes tracking priority and progress of projects in weekly meetings.
Articulate technical information, including assumptions, methodologies, and outcomes to specialists across disciplines. Translate hunches to hypotheses and numbers into recommendations.
Absorb and articulate the Marketing strategy and project rationales to Data Scientists.
Requirements
Masters or PhD degree in Computer Science, Statistics, Operations Research or Natural Sciences, with 4-8+ years of prior experience as a Data Scientist.
Proficiency in Python and SQL.
A strong foundation in practical Statistics including the use of causal inference.
Strong mathematical and software engineering skills.
Fluency in long and short‑form oral and written communication.
Ability to sharpen or reframe project requirements through effective collaboration.
Desire to mentor junior Data Scientists by exemplifying math, engineering and technical communication skills.
Experience in a Marketing facing role preferred, but not required.
Estimated annual salary range: $164,000 - $184,000 plus Equity and a discretionary bonus.
Benefits
medical
vision
dental
401K plan
generous time off
parental leave
wellness reimbursements
professional development
employee investing discount
more!
About Wealthfront
Here at Wealthfront, our mission is to create a financial system that favors people, not institutions. We do this by leveraging technology to build powerful, low‑cost, and easy‑to‑use financial products that help modern investors grow and manage their money.
We started with the ambition to transform the investment advisory business. By automating strategies typically reserved for the wealthy, we unlocked access to high quality investment advice for a digitally‑native generation that was underserved by traditional institutions. Since then, we've expanded to a full suite of products designed to help our clients turn their savings into long‑term wealth, including:
A Cash Account that, through our partner banks, offers one of the highest annual percentage yields on uninvested cash in the industry, while providing instant and secure access to your money with no account fees and a full suite of checking features.
A zero‑commission Stock Investing Account with 50+ handpicked collections that help DIY investors discover new companies and make smarter investing decisions.
Multiple automated investing portfolios designed to unlock tax savings through sophisticated strategies like fixed income, tax‑loss harvesting, and direct indexing-which we offer at industry‑leading low costs and accessible minimums.
Our award‑winning products have attracted over 1 million clients who trust us with more than $85 billion of their hard earned savings-and we're far from done. If you're inspired to help us reshape the financial industry as we create our next chapter, let's talk!
For more information please visit ******************** We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Please review our candidate privacy notice.
Disclosures:All investing involves risk, including the possible loss of principal. Tax‑Loss Harvesting benefits vary depending on the client's entire tax and investment profile. Wealthfront doesn't provide tax advice. The Cash Account is offered by Wealthfront Brokerage LLC (“Wealthfront Brokerage”), Member of FINRA/SIPC. Wealthfront Brokerage is not a bank. We convey funds to partner banks who accept and maintain deposits, provide the variable interest rate, and provide access to FDIC pass‑through insurance. Investment management and advisory services-which are not FDIC insured-are provided by Wealthfront Advisers LLC (“Wealthfront Advisers”), an SEC‑registered investment adviser. The checking features offered in the Wealthfront Cash Account are provided by Green Dot Bank, Member FDIC. Fees and Eligibility requirements may apply to certain checking features, please see the Deposit Account Agreement for details.
By “award-winning products”, please refer to *************************** for more information. Wealthfront Corporation oversees Total Client Assets and Trusted Clients through Wealthfront Advisers and Wealthfront Brokerage. Wealthfront Advisers and Wealthfront Brokerage are wholly owned subsidiaries of Wealthfront Corporation.
#J-18808-Ljbffr
$164k-184k yearly 1d ago
Staff Data Scientist, Product: Strategic Impact & AI
Gusto 4.5
San Francisco, CA jobs
A leading HR tech company is seeking an experienced Staff Data Scientist based in Denver. This role involves leveraging statistical methods and causal analysis to drive strategic decision-making. Candidates should have 7-10 years of experience in data science, strong skills in SQL and Python, and the ability to communicate complex findings effectively. The position aims to support small businesses by integrating data and AI across various teams. Competitive compensation ranging from $154,000 to $181,000 per year is offered.
#J-18808-Ljbffr
$154k-181k yearly 19h ago
Principal Data Scientist - Product
Gusto 4.5
Los Angeles, CA jobs
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve.
About the Role
Gusto is looking for highly skilled, motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive.
In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto.
Here's what you'll do day‑to‑day:
Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high‑leverage opportunities, set long‑term measurement and experimentation direction, and align executive stakeholders around data‑driven priorities.
Execution Excellence: Drive and execute on org‑level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains.
Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org‑wide decision quality.
Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data‑informed strategy across the org.
Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI‑assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact.
Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling.
Here's what we're looking for:
10+ years of experience in Data Science at a product‑focused software company.
Strong SQL and Python skills.
Proven ability to apply statistical methods, causal inference, and experimental design to real business problems.
Experience developing Machine Learning models is a plus.
Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership.
Demonstrated experience leading large, technically complex projects with clear business impact.
A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights.
Passion for mentoring others and raising the bar for data science craft across the team.
BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience.
Compensation
Our cash compensation range is $170,000-$210,000 per year in Denver, $185,000-$225,000 in Los Angeles, and $200,000-$240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise.
Work Location
Employees based in Denver, San Francisco, and New York City are expected to work from the office on designated days approximately 2-3 days per week. The same expectations apply to all Gusto roles in these locations.
EEO Statement
Gusto is an equal‑opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy and related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
#J-18808-Ljbffr
$200k-240k yearly 4d ago
Staff Data Scientist, Product: Strategic Impact & AI
Gusto 4.5
Denver, CO jobs
A leading HR tech company is seeking an experienced Staff Data Scientist based in Denver. This role involves leveraging statistical methods and causal analysis to drive strategic decision-making. Candidates should have 7-10 years of experience in data science, strong skills in SQL and Python, and the ability to communicate complex findings effectively. The position aims to support small businesses by integrating data and AI across various teams. Competitive compensation ranging from $154,000 to $181,000 per year is offered.
#J-18808-Ljbffr
$154k-181k yearly 19h ago
Principal Data Scientist - Product
Gusto 4.5
Denver, CO jobs
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve.
About the Role
Gusto is looking for highly skilled, motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive.
In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto.
Here's what you'll do day‑to‑day:
Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high‑leverage opportunities, set long‑term measurement and experimentation direction, and align executive stakeholders around data‑driven priorities.
Execution Excellence: Drive and execute on org‑level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains.
Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org‑wide decision quality.
Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data‑informed strategy across the org.
Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI‑assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact.
Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling.
Here's what we're looking for:
10+ years of experience in Data Science at a product‑focused software company.
Strong SQL and Python skills.
Proven ability to apply statistical methods, causal inference, and experimental design to real business problems.
Experience developing Machine Learning models is a plus.
Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership.
Demonstrated experience leading large, technically complex projects with clear business impact.
A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights.
Passion for mentoring others and raising the bar for data science craft across the team.
BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience.
Compensation
Our cash compensation range is $170,000-$210,000 per year in Denver, $185,000-$225,000 in Los Angeles, and $200,000-$240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise.
Work Location
Employees based in Denver, San Francisco, and New York City are expected to work from the office on designated days approximately 2-3 days per week. The same expectations apply to all Gusto roles in these locations.
EEO Statement
Gusto is an equal‑opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy and related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
#J-18808-Ljbffr
$74k-106k yearly est. 4d ago
Head of Data Science
Varo Money, Inc. 4.4
Dallas, TX jobs
Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us.
We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision‑making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, DataEngineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending.
What you'll be doing
Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals.
Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision‑making.
Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions.
Data Integrity & Risk: Work closely with DataEngineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency.
Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately.
Team Leadership & Mentorship: Attract, hire, mentor, and coach a high‑performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross‑functional collaboration.
You'll bring the following required skills and experiences
8+ years of experience in Data Science, Applied Science, or a related quantitative field.
Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement).
Technical Fluency: Expert‑level proficiency in Python and its scientific computing stack (Pandas, Scikit‑learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real‑world datasets.
Data Ecosystem Experience: Hands‑on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure).
Leadership Acumen: Demonstrated ability to thrive in a fast‑paced environment, attract high‑quality talent, and drive a data‑informed culture.
$250,000 - $300,000 a year
For cash compensation, we set standard ranges for all US‑based roles based on function, level, and geographic location, benchmarked against similar‑stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range.
This role is also eligible for a bonus, equity, and competitive benefits.
We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you!
About Varo
Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all‑digital, mission‑driven, FDIC‑insured, and designed around the modern American consumer.
As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer‑first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system.
Learn more about Varo by following us:
Facebook - **********************************
Instagram - **************************
LinkedIn - *****************************************
Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Beware of fraudulent job postings!
Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail ********************* with the pertinent information and contact information.
CCPA Notice at Collection for California Employees and Applicants:
****************************************
#J-18808-Ljbffr
$81k-105k yearly est. 19h ago
Sr. Mulesoft Developer
Lincoln Financial Group 4.6
Data engineer job at Lincoln Financial Group
Alternate Locations: Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina) Work Arrangement: Hybrid : Employee will work 3 days a week in a Lincoln office
Hiring Manager: Swati Banerjee
Requisition #: 75250
The Role at a Glance
We are excited to onboard a MuleSoft Developer to our Wholesaler Experience team.
Background Details:
Lincoln's IT organization is seeking a Sr. MuleSoft Developer to help build and enhance integration solutions that support Lincoln's Distribution and Marketing Technology organization. This is an exciting opportunity to join a team that has fully embraced agile methodology and DevOps practices. As a senior developer, you will be responsible for designing and implementing scalable integration solutions using the MuleSoft Anypoint Platform, collaborating closely with cross-functional teams, and contributing to the development of APIs and microservices that connect Salesforce, AWS, and other enterprise systems.
What you'll be doing
* Collaborate with stakeholders to gather and understand integration requirements.
* Design, develop, test, and deploy MuleSoft integrations and APIs using the Anypoint Platform.
* Build scalable, reliable, and maintainable integration solutions that connect Salesforce, AWS, and other enterprise systems.
* Participate in code reviews and contribute to continuous improvement of development practices.
* Work closely with cross-functional teams to create and iterate on proofs of concept.
* Maintain and update technical documentation related to MuleSoft integrations.
* Stay current with MuleSoft platform features and industry trends through ongoing learning and certification.
* Manage multiple priorities and deliver high-quality solutions within tight deadlines.
* Communicate effectively with team members and business partners to meet delivery objectives.
* Actively participate in agile ceremonies and contribute to team collaboration and velocity.
What we're looking for
Must-haves:
* 7+ years of professional experience developing integration solutions using the MuleSoft Anypoint Platform, including MuleSoft Runtime, Anypoint Studio, and Anypoint Exchange
* Bachelor's degree in Computer Science, Information Systems, Information Technology, Computer Engineering, or equivalent work experience (4 years of experience in lieu of degree)
* Proficiency in Java development and familiarity with other programming languages
* Strong understanding of API design principles and RESTful web services
* Experience with integration patterns, message queues (e.g., IBM MQ, Amazon SQS), and asynchronous processing
* Proficiency with DataWeave for data transformation
* Experience with MUnit for automated testing of Mule applications
* Ability to create and interpret UML diagrams for system design and documentation
* Hands-on experience with CI/CD pipelines and DevOps practices
* Proven experience integrating with platforms such as Salesforce and AWS
* MuleSoft Certified Developer or MuleSoft Certified Integration Architect (at least one required)
* Excellent verbal and written communication skills
* Strong analytical and problem-solving abilities
* Experience working within agile teams and participating in agile ceremonies
Nice-to haves:
* Development or architectural experience within the Salesforce Platform
* Experience with Salesforce Financial Services Cloud and Salesforce Data Cloud
* Experience within the Financial Service industry
* Salesforce and/or AWS Certifications
* Experience deploying Mule applications to CloudHub or Runtime Fabric
* Familiarity with MuleSoft Accelerators for Financial Services
* Understanding of event-driven architecture or microservices design
* Knowledge of OAuth, SAML, JWT for secure integrations
Application Deadline
Applications for this position will be accepted through December 31, 2025, subject to earlier closure due to applicant volume.
Job Segment: Developer, Java, Programmer, Information Technology, Computer Science, Technology