Delivery Consultant- GenAI/ML & Data Science, AWS Industries
Amazon 4.7
Data scientist job in Jersey City, NJ
Application deadline: Jan 16, 2026
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Experience developing software code in one or more programming languages (java, python, etc.)
- PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)
Preferred Qualifications
- Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Experience with coding, automation and scripting (e.g., Terraform, Python)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base pay range for this position is listed below. Hourly pay ranges include the base pay rate plus the highest available shift differential which applies depending on the shift you select.
Colorado $131,300 - $177,600 annually / hourly
National $118,200 - $204,300 annually / hourly
For salaried roles, your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ***************************************************** .
For hourly roles, as a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at ********************************************* .
$131.3k-177.6k yearly 5d ago
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Senior Analyst, Data Scientist (Ref: 194314)
Forsyth Barnes
Data scientist job in New York, NY
Job Title: Senior Analyst, Data Science & Analytics
Salary: $90,000 - $118,000
Contact: ********************************
is not available for C2C or C2H and the client is unable to sponsor at this time.
About Us
We are collaborating with a respected organization in the textiles and apparel manufacturing and retail sectors. Renowned for its commitment to innovation and quality, this organization delivers exceptional products while fostering a collaborative workplace that supports professional development and teamwork.
Job Description
The Analyst, Data Analytics & Data Science position plays a key role in designing and implementing reporting tools such as metrics dashboards to support data-driven decision-making and strengthen operational controls across new and existing processes. This role also focuses on collecting and analyzing data to develop business cases and ROI assessments that identify and drive improvement opportunities throughout the organization.
Key Responsibilities
Manage operational requests by defining technical requirements and developing SQL queries to deliver reports, metrics, and dashboards using Power BI
Design advanced Power BI reports and dashboards utilizing DAX and other advanced features
Support data cleansing, analytics workflows, and presentation of multiple analytics initiatives
Act as a liaison between business stakeholders and IT teams, as directed by management
Ensure clear understanding of business objectives and deliverables
Contribute to prioritization, estimation, and scoping of strategic initiatives
Document and analyze business and technical requirements thoroughly
Participate in collaborative problem-solving with business users and leadership
Support change management efforts and lead end-user training sessions
Partner with IT to resolve system issues and improve processes
Provide regular updates on project progress and issue resolution
Requirements
Bachelor's degree in Engineering, Mathematics, Computer Science, or a related field
1-2 years of experience developing business or technology solutions
Exposure to R and Python, with a foundational understanding of machine learning concepts
Familiarity with data warehouse and business intelligence tools, particularly Power BI
Proficiency in DAX, Power Query, and Power BI features
Ability to read and write SQL queries proficiently
Strong working knowledge of Microsoft Office tools (Excel, PowerPoint, Word, Visio, SharePoint)
UI/UX Exposure
Exposure to Databricks
Experience in the corporate retail sector is a plus
Desired Skills & Characteristics
Strong analytical and modeling skills with the ability to visualize complex concepts
Interest in analyzing complex business relationships
Excellent critical thinking, project management, and communication skills
Comfortable working across both detailed operational tasks and strategic initiatives
High intellectual curiosity with a results-driven mindset
Self-motivated and capable of managing multiple projects simultaneously
Strong time management and organizational skills
Exceptional verbal and written communication abilities
Ability to combine quantitative expertise with strong interpersonal skills
Thrives in a fast-paced, dynamic environment
Other
As the organization continues to evolve, data engineering and MLOps capabilities will become increasingly important. Experience with Databricks and Python-based tools is essential, along with the ability to adapt to the rapidly changing analytics landscape.
$90k-118k yearly 2d ago
Reinsurer Actuary
BJRC Recruiting
Data scientist job in New York, NY
Pricing Reinsurance Actuary
New York, USA
Our Client
Our client is a modern reinsurance company specializing in data-driven portfolios of Property & Casualty (P&C) risk. The firm's approach combines deep industry relationships, a sustainable capital structure, and a partner-first philosophy to deliver efficient and innovative reinsurance solutions.
As the company continues to grow, Northern is seeking a Pricing Actuary to strengthen its technical and analytical capabilities within the underwriting team. This is a unique opportunity to join a collaborative and forward-thinking environment that values expertise, precision, and long-term partnerships.
Responsibilities
Lead the pricing of reinsurance treaties, with a primary focus on U.S. Casualty Programs, and expand to other lines as the portfolio grows.
Provide core input into transactional and portfolio-level underwriting decisions.
Conduct peer reviews of pricing models and assumptions prepared by other team members.
Support quarterly loss ratio analyses to monitor portfolio performance, identify trends, and inform capital management strategies.
Contribute to the annual reserve study process and present insights to the executive leadership team.
Execute benchmark parameter studies and communicate findings to management to support strategic planning.
Participate in broker meetings and client visits, helping to structure and negotiate optimal treaty terms.
Enhance portfolio monitoring and efficiency through process improvement, automation, and the development of analytical tools and dashboards.
Some travel may be required.
Qualifications
Degree in Actuarial Science, Mathematics, Statistics, or a related field.
FCAS or ACAS designation (or international equivalent) strongly preferred.
Minimum of 8-10 years of actuarial experience in Property & Casualty reinsurance or insurance pricing.
Proven expertise in casualty and specialty lines, including professional liability, D&O, and E&O.
Strong analytical and problem-solving skills, with demonstrated experience in data modeling, pricing tools, and portfolio analytics.
Excellent communication and collaboration abilities, capable of working closely with underwriting, finance, and executive teams.
The Ideal Profile
A technically strong, business-minded actuary who thrives in a dynamic, collaborative, and data-driven environment.
Recognized for analytical rigor, attention to detail, and the ability to translate complex models into actionable insights.
Values teamwork, intellectual curiosity, and innovation in solving industry challenges.
Seeks to contribute meaningfully to a growing, entrepreneurial organization shaping the future of reinsurance.
Why Join the Team
This is a rare opportunity to join a modern, high-growth reinsurer where your analytical insight and strategic thinking will directly influence underwriting decisions and company performance. Northern offers a collaborative culture, flexible hybrid work model, and the chance to shape cutting-edge reinsurance strategies in partnership with leading underwriters and actuaries.
REF# WEB1429
$91k-142k yearly est. 12h ago
Data & Performance Analytics (Hedge Fund)
Coda Search│Staffing
Data scientist job in New York, NY
Our client is a $28B NY based multi-strategy Hedge Fund currently seeking to add a talented Associate to their Data & Performance Analytics Team. This individual will be working closely with senior managers across finance, investment management, operations, technology, investor services, compliance/legal, and marketing.
Responsibilities
This role will be responsible for Compiling periodical fund performance analyses
Review and analyze portfolio performance data, benchmark performance and risk statistics
Review and make necessary adjustments to client quarterly reports to ensure reports are sent out in a timely manner
Work with all levels of team members across the organization to help coordinate data feeds for various internal and external databases, in effort to ensure the integrity and consistency of portfolio data reported across client reporting systems
Apply queries, pivot tables, filters and other tools to analyze data.
Maintain client relationship management database and providing reports to Directors on a regular basis
Coordinate submissions of RFPs by working with RFP/Marketing Team and other groups internally to gather information for accurate data and performance analysis
Identifying opportunities to enhance the strategic reporting platform by gathering and analyzing field feedback and collaborating with partners across the organization
Provide various ad hoc data research and analysis as needed.
Desired Skills and Experience
Bachelor's Degree with at least 2+ years of Financial Services/Private Equity data/client reporting experience
Proficiency in Microsoft Office, particularly Excel Modeling
Technical knowledge, data analytics using CRMs (Salesforce), Excel, PowerPoint
Outstanding communication skills, proven ability to effectively work with all levels of Managment
Comfortable working in a fast-paced, dead-line driven dynamic environment
Innovative and creative thinker
Must be detail oriented
$68k-96k yearly est. 12h ago
Sr. Data Scientist
Betmgm
Data scientist job in Jersey City, NJ
Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business.
As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include:
Medical, Dental, Vision, Life, and Disability Insurance
401(k) with company match
Pre-tax spending accounts including health care FSA and commuter savings
Flexible paid time off
Professional development reimbursement and ongoing skills training opportunities
Employee resource groups
Swag, ticket giveaways, and more!
At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win.
About the Role
We are seeking a Senior DataScientist to take a leading role in building and deploying machine learning solutions that power personalization and create measurable business impact. This is a highly visible, cross-functional position where you will work closely with product managers, ML engineers, and commercial stakeholders to transform raw data into actionable insights and scalable models. You'll leverage cutting-edge tools and techniques to segment users, predict behaviors, and optimize experiences across the customer journey.
As a Senior DataScientist, you will design and deliver advanced analytics projects from exploration and modeling through deployment and measurement of impact. You'll make technical decisions, lead collaborative problem-solving sessions, and mentor other datascientists as you raise the overall level of technical rigor within the team. This role is perfect for someone who thrives in a fast-moving environment, enjoys turning complexity into clarity, and is motivated by seeing their models drive real-world outcomes.
Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units
Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions
Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer
Lead projects from start to finish, set proper expectations, and collaborate with other datascientists, ML engineers, and product managers to communicate technical findings and support data driven decision making
Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership
Stay up to date on the latest advancements in data science and leverage cutting edge technology
Mentor, brainstorm with, and enable others within the DS team and broader Data organization
Education and Experience:
Bachelor's degree needed in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field
5+ years of experience in data science, creating and deploying models
Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems.
Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models
Experience in experimentation to validate models' impact and ability to quantify that impact
Technical Expertise:
Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker.
Experience with statistical modeling, A/B testing, and customer segmentation techniques.
Experience implementing and overseeing ML platforms and building unified data products across multiple domains.
Familiarity with online gaming platforms, trading systems, and marketing technologies.
Can write production level code, understand principles of programming
Leadership & Soft Skills:
Strategic thinker with a proven ability to balance short-term results with long-term goals.
Excellent communicator with the ability to translate complex technical concepts into clear, actionable strategies for stakeholders at all levels.
Collaborative team player who excels in cross-functional environments.
The annual salary range for this position is $118000 to $155000. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan.
Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc.
Gaming Compliance & Licensing Requirements
As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification.
In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives.
About BetMGM
BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms.
BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.
If you need assistance or accommodation with your application due to a disability, you may contact us at .
This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time.
#LI-HYBRID
#LI-JLEE
$118k-155k yearly 5d ago
Data Scientist
Gartner 4.7
Data scientist job in Stamford, CT
About this role
In Gartner's Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way.
We are searching for a talented datascientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team.
What you'll do
* Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow.
* Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails.
* Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery
* Leverage statistical and machine learning techniques to extract actionable insights from client retention data.
* Develop customer churn prediction models that proactively identify at-risk clients,
* Build tools to process structured and unstructured data
* Engineering features and signals to train ML model from diverse data collection
What you'll need
* BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus)
* 4 years' experience in data science methodologies as applied to live initiatives or software development// Experience working with Gen AI projects
* Minimum 4+ years of experience in python coding and statistical analysis
* Minimum 2 years working experience in several of the following:
o Prompt Engineering and working with LLMs
o Machine Learning and statistical techniques
o Data mining and recommendation systems
o Natural Language Processing and Information Retrieval
o Experience working with large volumes of data
o User behavior modeling
Who you are
* A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge.
* Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies.
* Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented.
* Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business
What we offer
* A collaborative, positive culture. You'll work with people who are as enthusiastic, smart and driven as you are. You'll be managed by the best too.
* Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization.
About Gartner:
Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A - Visit gartner.com to learn more.
Diversity, inclusion and engagement at Gartner:
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion.
Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at or by sending an email to
#LI-Hybrid
#LI-GV1
Who are we?
At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.
Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.
Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
What makes Gartner a great place to work?
Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.
We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.
Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.
We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
What do we offer?
Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
Ready to grow your career with Gartner? Join us.
Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 98,000 USD - 133,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.
Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at or by sending an email .
Job Requisition ID:106172
By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.
Gartner Applicant Privacy Link: applicant-privacy-policy
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$78k-103k yearly est. 4d ago
Actuary - Reserving
Argonaut Management Services, Inc.
Data scientist job in New York, NY
Argo Group International Holdings, Inc.and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions.
Job Description
Actuary - Reserving
Reporting to the Head of Reserving - Casualty, the Actuary - Reserving will be responsible for supporting reserve reviews and related activities, including communication to stakeholders, ad-hoc projects and process improvement efforts.
Accountabilities
Perform reserve reviews under the direction of the Head of Reserving - Casualty and prepare related reports, summaries, and ad-hoc analyses/views of results.
Interact with various stakeholders including finance, claims, underwriting and pricing departments to determine holistic views of reserves.
Assist in the preparation of the year-end reporting, including Actuarial Opinions, Actuarial Reports, and other GAAP and statutory regulatory reporting.
Evaluate current approaches and propose improvements to all stages from data collection to final reporting, with the goal of automating and increasing the efficiency of the reserving department.
Assist in the development and training of other Reserving staff.
Qualifications
Bachelor's degree in actuarial science, mathematics, or related field of study.
5+ exams of the Casualty Actuarial Society pursuing credentials.
5+ years of property/casualty experience, preferable with commercial lines.
Strong communication skills with the ability to convey technical concepts to non-technical audiences including executive management.
Ability to execute and lead concurrent projects.
Ability to work independently, but understand place within a team environment, and collaborate appropriately to achieve the best product.
Detail-oriented and able to quickly evaluate the accuracy of information.
Proficient in Microsoft Office products.
Demonstrated experience with various data software such as SQL, R, Python, or VBA
Experience with ResQ preferred.
The salary range for the Actuary - Reserving role provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, all employees are eligible for an annual bonus based on company and individual performance as well as a generous benefits package.
Chicago: $125,500 - $149,200
NYC: $136,900 - $163,000
While this role is ideally suited for candidates with 5+ years of actuarial reserving experience, we will also consider early-career actuaries (Actuary Analyst - Reserving) with strong technical skills and demonstrated exam progress. Responsibilities and compensation will be commensurate with experience.
PLEASE NOTE:
Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.
If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at .
Notice to Recruitment Agencies:
Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions.
We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics.
The collection of your personal information is subject to our HR Privacy Notice
Benefits and Compensation
We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.
$136.9k-163k yearly 5d ago
Principal Data Engineer
Fresh 3.6
Data scientist job in New York, NY
Principal Data Engineer - New York (Hybrid, 3 days on-site)
Package: Competitive - Looking for experienced ICs, package will be based on interview performance.
We are partnering with a fast-growing global Data and AI Consultancy to hire Principal Data Engineers. This is an exciting opportunity for someone who loves complex problem-solving, cutting-edge technology and working across multiple clients and industries (predominantly regulated spaces: finance, insurance and health care + more).
The ideal candidate is passionate about data engineering and has a background in building robust pipelines, and helping businesses leverage their data for meaningful impact.
Key Responsibilities
Design, build, and maintain data pipelines to ingest, transform, and load data reliably.
Implement and manage data lakes and warehouses for scalable and secure access.
Ensure systems are reliable, secure, and cost-effective.
Collaborate closely with analysts, ML engineers, and platform teams to deliver impactful solutions.
Work with modern data tools and cloud platforms to optimise performance and scalability.
Technical Skills & Experience
Strong experience in Python, Spark, and Airflow.
Hands-on knowledge of Snowflake, Databricks, BigQuery, or Neo4J.
Familiarity with dbt, Fivetran, Terraform and other data engineering frameworks.
Cloud experience with AWS, Azure, or GCP.
Proven track record building scalable, reliable, and secure data solutions.
Comfortable problem-solving across large, complex datasets and systems.
STEM degree from a top university
We're open to candidates with and without consulting backgrounds but you must be excited about working with leading global brands and directly with customers.
If you're interested in hearing more about this opportunity, please include you most up to date CV.
$105k-128k yearly est. 2d ago
Data Engineer
Beauty By Imagination (BBI
Data scientist job in New York, NY
About Beauty by Imagination:
Beauty by Imagination is a global haircare company dedicated to boosting self-confidence with imaginative solutions for every hair moment. We are a platform company of diverse, market-leading brands, including Wet Brush, Goody, Bio Ionic, and Ouidad - all of which are driven to be the most trusted choice for happy, healthy hair. Our talented team is passionate about delivering high-performing products for consumers and salon professionals alike.
Position Overview:
We are looking for a skilled Data Engineer to design, build, and maintain our enterprise Data Warehouse (DWH) and analytics ecosystem - with a growing focus on enabling AI-driven insights, automation, and enterprise-grade AI usage. In this role, you will architect scalable pipelines, improve data quality and reliability, and help lay the foundational data structures that power tools like Microsoft Copilot, Copilot for Power BI, and AI-assisted analytics across the business.
You'll collaborate with business stakeholders, analysts, and IT teams to modernize our data environment, integrate complex data sources, and support advanced analytics initiatives. Your work will directly influence decision-making, enterprise reporting, and next-generation AI capabilities built on top of our Data Warehouse.
Key Responsibilities
Design, develop, and maintain Data Warehouse architecture, including ETL/ELT pipelines, staging layers, and data marts.
Build and manage ETL workflows using SQL Server Integration Services (SSIS) and other data integration tools.
Integrate and transform data from multiple systems, including ERP platforms such as NetSuite.
Develop and optimize SQL scripts, stored procedures, and data transformations for performance and scalability.
Support and enhance Power BI dashboards and other BI/reporting systems.
Implement data quality checks, automation, and process monitoring.
Collaborate with business and analytics teams to translate requirements into scalable data solutions.
Contribute to data governance, standardization, and documentation practices.
Support emerging AI initiatives by ensuring model-ready data quality, accessibility, and semantic alignment with Copilot and other AI tools.
Required Qualifications
Proven experience with Data Warehouse design and development (ETL/ELT, star schema, SCD, staging, data marts).
Hands-on experience with SSIS (SQL Server Integration Services) for building and managing ETL workflows.
Strong SQL skills and experience with Microsoft SQL Server.
Proficiency in Power BI or other BI tools (Tableau, Looker, Qlik).
Understanding of data modeling, performance optimization, and relational database design.
Familiarity with Python, Airflow, or Azure Data Factory for data orchestration and automation.
Excellent analytical and communication skills.
Preferred Qualifications
Experience with cloud data platforms (Azure, AWS, or GCP).
Understanding of data security, governance, and compliance (GDPR, SOC2).
Experience with API integrations and real-time data ingestion.
Background in finance, supply chain, or e-commerce analytics.
Experience with NetSuite ERP or other ERP systems (SAP, Oracle, Dynamics, etc.).
AI Focused Preferred Skills:
Experience implementing AI-driven analytics or automation inside Data Warehouses.
Hands-on experience using Microsoft Copilot, Copilot for Power BI, or Copilot Studio to accelerate SQL, DAX, data modeling, documentation, or insights.
Familiarity with building RAG (Retrieval-Augmented Generation) or AI-assisted query patterns using SQL Server, Synapse, or Azure SQL.
Understanding of how LLMs interact with enterprise data, including grounding, semantic models, and data security considerations (Purview, RBAC).
Experience using AI tools to optimize ETL/ELT workflows, generate SQL scripts, or streamline data mapping/design.
Exposure to AI-driven data quality monitoring, anomaly detection, or pipeline validation tools.
Experience with Microsoft Fabric, semantic models, or ML-integrated analytics environments.
Soft Skills
Strong analytical and problem-solving mindset.
Ability to communicate complex technical concepts to business stakeholders.
Detail-oriented, organized, and self-motivated.
Collaborative team player with a growth mindset.
Impact
You will play a key role in shaping the company's modern data infrastructure - building scalable pipelines, enabling advanced analytics, and empowering the organization to safely and effectively adopt AI-powered insights across all business functions.
Our Tech Stack
SQL Server, SSIS, Azure Synapse
Python, Airflow, Azure Data Factory
Power BI, NetSuite ERP, REST APIs
CI/CD (Azure DevOps, GitHub)
What We Offer
Location: New York, NY (Hybrid work model)
Employment Type: Full-time
Compensation: Competitive salary based on experience
Benefits: Health insurance, 401(k), paid time off
Opportunities for professional growth and participation in enterprise AI modernization initiatives
$90k-123k yearly est. 4d ago
Early Careers: Data Solutions Intern
Aon 4.7
Data scientist job in Norwalk, CT
Data Solutions Intern
For the high reaching rising senior seeking a dynamic internship experience, Aon is offering a unique opportunity as a Data Solutions Intern. In this role within Aon's Rewards Solutions practice, you'll collaborate with McLagan, working extensively in financial services compensation surveys and consulting. Dive into empowering global financial firms, asset managers, insurers, banks, and wealth management companies.
More information about Aon Rewards Solutions is available at en-us/.
Available Locations:
Norwalk, CT
Aon is in the business of better decisions
At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.
As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.
What the day will look like
Researching and analyzing competitive compensation practices
Crafting tailored programs for diverse client needs
Hands-on involvement in data analysis and strategic recommendations
Engaging in diverse projects across high-growth industries
How this opportunity is different
10-week paid program across various U.S. offices
Engage in challenging client projects
Access to weekly global roundtables with leaders
Personalized one-on-one internship mentoring
Continuous formal and informal feedback
Social outings and community service activities
Skills and experience that will lead to success
Minimum cumulative GPA of 3.0
Great teammate with independent work capability
Involvement in extracurricular activities
Proficiency in Microsoft Office Suite
Desire to learn and embody Aon's values: integrity, client commitment, and community dedication
Critical thinking, problem-solving, and analytical skills
Qualifications
Rising seniors graduating between December 2026 - June 2027 with a minimum cumulative GPA of 3.0.
*Please note: immigration sponsorship not available for this role.
What sets our Summer Internship Program apart from the rest?
Explore Aon's culture and business areas, developing practical skills vital for your future success and postgraduate opportunities. Engage in weekly spotlights, community outreach events and networking opportunities with peers, fostering an understanding of exceeding client expectations and delivering distinct products and services.
Development Planning
Participate in a comprehensive development plan that includes deeply understanding Aon's business areas, ethical standards, professional environment, networking opportunities, learning internal systems, and honing interpersonal and team-building skills through collaboration events and colleague networking opportunities.
Future Opportunities
The Aon Summer Internship Program offers meaningful exposure to Aon, preparing interns for short-term and long-term career opportunities. Outstanding interns may receive offers to join Aon's Launch Program, an early careers development opportunity, upon graduation.
How we support our colleagues
In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognize that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!
The salary range for this position (intended for U.S. applicants) is $25.00 - $28.00 hourly. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.
Aon offers a benefits package for temporary and seasonal employees who will work 20 or more hours per week including: medical, dental, and vision insurance at the employee's expense, critical illness insurance, 10 Company holidays per calendar year (paid, if eligible), paid sick leave as provided under state and local law, and a 401(k) savings plan with employer contributions. Eligibility for benefits are governed by the applicable plan documents and policies.
Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.
Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.
Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply.
We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email
For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances.
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
#AonInternUS
#LI-SC3
2571951
$25-28 hourly 2d ago
Data Science Intern - Summer 2026
GNY Insurance Companies
Data scientist job in New York, NY
The purpose of this job is to explore external data resources, to extract discovered data through web scraping, and to evaluate the effectiveness of the external data on model improvement.
Essential Duties and Responsibilities:
Explore potential useful external data resources.
Extract external data through web scraping.
Evaluate the effectiveness of external data on model improvement.
Participates in special projects and performs additional duties as required.
QualificationsEducation and Experience:
College student from an accredited institution preferably in Computer Science or Data Science
Experience in web scraping preferred.
Experience to pull data using API call preferred.
Experience with developing regression model a plus.
Skills:
Proficient in programming Python, R, or SQL.
Proficient in Microsoft Office Suites.
Understand data structures.
Good verbal and written communication skills.
The salary range for this role is $16.50/hr - $30/hr. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.
$16.5-30 hourly 5d ago
Senior Data Engineer
Capital One 4.7
Data scientist job in New York, NY
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 Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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 3 years of experience in application development (Internship experience does not apply)
At least 1 year of experience in big data technologies
Preferred Qualifications:
5+ years of experience in application development including Python, SQL, Scala, or Java
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
2+ year experience working on real-time data and streaming applications
2+ years of experience with NoSQL implementation (Mongo, Cassandra)
2+ years of data warehousing experience (Redshift or Snowflake)
3+ 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: $161,800 - $184,600 for Senior Data Engineer
New York, NY: $176,500 - $201,400 for Senior Data 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 ; 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- or via email at . 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).
$176.5k-201.4k yearly 9h ago
Data Engineer II
Capital Rx 4.1
Data scientist job in New York, NY
About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
Judi, the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit ****************
Location: Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO)
Position Summary:
We are seeking a highly motivated and talented Data Engineer to join our team and play a critical role in shaping the future of healthcare data management. This individual will be a key contributor in building robust, scalable, and accurate data systems that empower operational and analytics teams to make informed decisions and drive positive outcomes.
Position Responsibilities:
Lead relationship with operational and analytics teams to translate business needs into effective data solutions
Architect and implement ETL workflows leveraging CapitalRx platforms and technologies such as Python, dbt, SQLAlchemy, Terraform, Airflow, Snowflake, and Redshift
Conduct rigorous testing to ensure the flawless execution of data pipelines before production deployment
Identify, recommend, and implement process improvement initiatives.
Proactively identify and resolve data-related issues, ensuring system reliability and data integrity
Lead moderately complex projects.
Provide ongoing maintenance and support for critical data infrastructure, including 24x7 on-call availability
Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.
Required Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field
2+ experience working with Airflow, dbt, and Snowflake
Expertise in data warehousing architecture techniques and familiarity with Kimball methodology
Minimum 3+ years experience with a proven track record as a Data Engineer, displaying the ability to design, implement, and maintain complex data pipelines
1+ year experience in Python, SQL
Capacity to analyze the company's broader data landscape and architect scalable data solutions that support growth
Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders
A self-motivated and detail-oriented individual with the ability to tackle and solve intricate technical challenges
Preferred Qualifications:
1-3 years of experience as a Data Engineer, ideally in the healthcare or PBM sector
Advanced proficiency with Airflow, dbt, and Snowflake, coupled with 3+ years of SQL development and Python experience
This range represents the low and high end of the anticipated base salary range for the NY-based position. The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes.
This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Salary Range$120,000-$140,000 USD
All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at*********************************************
$120k-140k yearly 3d ago
Data Scientist II - Marketing Science
Walt Disney Co 4.6
Data scientist job in New York, NY
Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role.
Responsibilities
* Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams
* Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts
* Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results
* Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc)
* Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product
* Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types
Basic Qualifications
* Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study
* 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices
* Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM)
* Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement
* Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy
* Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions
* Strong coding experience in one (or more) data programming languages like Python/R
* Ability to draw insights and conclusions from data to inform model development and business decisions
* Experience in SQL
Preferred Qualifications
* Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics
The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered.
About Disney Direct to Consumer:
Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere.
About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer.
Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
Apply Now Apply Later
Current Employees Apply via My Disney Career
Explore Location
About the Team OpenAI's User Operations organization is building the data and intelligence layer behind AI-assisted operations - the systems that decide when automation should help users, when humans should step in, and how both improve over time. Our flagship platform is transforming customer support into a model for "agent-first" operations across OpenAI.
About the Role
As a DataScientist on User Operations, you'll design the models, metrics, and experimentation frameworks that power OpenAI's human-AI collaboration loop. You'll build systems that measure quality, optimize automation, and turn operational data into insights that improve product and user experience at scale. You'll partner closely with Support Automation Engineering, Product, and Data Engineering to ensure our data systems are production-grade, trusted, and impactful.
This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
Why it matters
Every conversation users have with OpenAI products produces signals about how humans and AI interact. User Ops Data Science turns those signals into insights that shape how we support users today and design agentic systems for tomorrow. This is a unique opportunity to help define how AI collaboration at scale is measured and improved inside OpenAI.
In this role, you will:
* Build and own metrics, classifiers, and data pipelines that determine automation eligibility, effectiveness, and guardrails.
* Design and evaluate experiments that quantify the impact of automation and AI systems on user outcomes like resolution quality and satisfaction.
* Develop predictive and statistical models that improve how OpenAI's support systems automate, measure, and learn from user interactions.
* Partner with engineering and product teams to create feedback loops that continuously improve our AI agents and knowledge systems.
* Translate complex data into clear, actionable insights for leadership and cross-functional stakeholders.
* Develop and socialize dashboards, applications, and other ways of enabling the team and company to answer product data questions in a self-serve way
* Contribute to establishing data science standards and best practices in an AI-native operations environment.
* Partner with other datascientists across the company to share knowledge and continually synthesize learnings across the organization
You might thrive in this role if you have:
* 10+ years of experience in data science roles within product or technology organizations.
* Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.
* Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation.
* Proven experience designing and interpreting experiments and making statistically sound recommendations.
* Experience building data systems or pipelines that power production workflows or ML-based decisioning.
* Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker.
* Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.
* Ability to build relationships with diverse stakeholders and cultivate strong partnerships.
* Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.
* Ability to operate effectively in a fast-moving, ambiguous environment with limited structure.
* Strong communication skills and the ability to translate complex data into stories for non-technical partners.
Nice-to-haves:
* Familiarity with large language models or AI-assisted operations platforms.
* Experience in operational automation or customer support analytics.
* Background in experimentation infrastructure or human-AI interaction systems.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
$88k-129k yearly est. 45d ago
Data Scientist, Product Analytics
Airtable 4.2
Data scientist job in New York, NY
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
Airtable is seeking a product-focused DataScientist to join our Analytics & Data Science team. In this high-impact role, you'll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable's self-serve business. You'll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making. This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization.
What you'll do
Own and maintain core product data pipelines across DBT, Looker, and Omni, ensuring reliability, scalability, and minimal downtime
Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas
Lead the development and delivery of company-wide strategic insights that connect user behavior patterns and inform executive decisions
Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports
Establish trusted partnerships with product managers, engineers, analysts, and leadership as the go-to resource for product data insights and technical guidance
Collaborate with leadership to define the analytics roadmap, prioritize high-impact initiatives, and assess resource needs for scaling product analytics capabilities
Mentor junior team members and cross-functional partners on analytics best practices and data interpretation; create documentation and training materials to scale institutional knowledge
Support end-to-end analytics for all product launches, including tracking implementation, validation, and post-launch reporting with documented impact measurements
Deliver comprehensive strategic analyses or experiments that connect user behavior patterns and identify new growth opportunities
Lead or participate in cross-functional projects where data science contributions directly influence product or strategy decisions
Migrate engineering team dashboards to Omni or Databricks, enabling self-serve analytics
Who you are
Bachelor's degree in computer science, data science, mathematics/statistics, or related field
6+ years of experience as a datascientist, data analyst, or data engineer
Experience supporting product development teams and driving product growth insight
Background in SaaS, consumer tech, or data-driven product environments preferred
Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery); sets standards and mentors others on best practices
Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
Proven ability to apply AI/ML tools - from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
Strong statistical foundation; designs and scales experimentation practices that influence product strategy and culture
Translates ambiguous business questions into structured analyses, guiding teams toward actionable insights
Provides thought leadership on user funnels, retention, and growth analytics
Ensures data quality, reliability, and consistency across critical business reporting and analytics workflows
Experience at an AI-native company, with exposure to building or scaling products powered by AI
Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and expertise in event taxonomy design
Strong documentation and knowledge-sharing skills; adept at creating technical guides, playbooks, and resources that scale team effectiveness
Models curiosity, creativity, and a learner's mindset; thrives in ambiguity and inspires others to do the same
Crafts compelling narratives with data, aligning stakeholders at all levels and driving clarity in decision-making
Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant.
VEVRAA-Federal Contractor
If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.
Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience.
Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.
For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$205,200-$266,300 USDFor all other work locations (including remote), the base salary range for this role is:$185,300-$240,000 USD
Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here.
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All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.
$205.2k-266.3k yearly Auto-Apply 17d ago
Principal Data Scientist : Product to Market (P2M) Optimization
The Gap 4.4
Data scientist job in New York, NY
About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials.
This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team.
About the Role
Gap Inc. is seeking a Principal DataScientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization.
The Principal DataScientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels.
What You'll Do
* Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges.
* Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals.
* Provide technical leadership to other datascientists through mentorship, design reviews, and shared best practices in solution design and production deployment.
* Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility.
* Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly.
* Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights.
* Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success.
* Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value
* Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP.
* Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality.
Who You Are
* Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline.
* 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains.
* Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes.
* Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation.
* Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib.
* Hands-on experience with enterprise platforms such as Databricks and cloud environments
* Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions.
* Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences.
* Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations.
* Experience managing code quality, CI/CD pipelines, and GitHub-based workflows.
Preferred Qualifications
* Experience shaping and executing multi-year analytics strategies in retail or supply chain domains.
* Proven ability to balance long-term innovation with short-term deliverables.
* Background in agile product development and stakeholder alignment for enterprise-scale initiatives.
Benefits at Gap Inc.
* Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
* One of the most competitive Paid Time Off plans in the industry.*
* Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.*
* Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.*
* Employee stock purchase plan.*
* Medical, dental, vision and life insurance.*
* See more of the benefits we offer.
* For eligible employees
Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.
Salary Range: $201,700 - $267,300 USD
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.
$88k-128k yearly est. 56d ago
Chief Reserving Actuary, Legacy
Everest Group Ltd. 3.8
Data scientist job in New York, NY
About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.
Our Legacy Business
Join a team where dynamic thinkers turn complexity into opportunity. You will work at the crossroads of strategy, analytics, and execution - tackling some of the most challenging and high‑impact problems in the insurance industry. Here, your ability to navigate multiple disciplines isn't just valued - it's essential.
The $5 billion Legacy business at Everest requires active, forward‑looking discipline focused on resolving legacy liabilities and unlocking capital for the company's future growth. You'll play a direct role in reducing volatility, strengthening market credibility, and accelerating strategic value creation across the Group. Our environment challenges you to think fast, adapt quickly, and approach complex legacy portfolios with fresh ideas and data‑driven insights. You'll work closely with claims, actuarial, finance, reinsurance, technology, and operations - building a uniquely broad and influential skill-set.
Position Summary
This Chief Reserving Actuary role is a fully dedicated leader for the Legacy business, providing dedicated reserving studies and support for special projects and transactions as needed. With dual reporting to the CEO, Legacy Operations and the Group Chief Reserving Actuary, you will play a crucial role in this newly established business, managing reserve drift, building granularity around actuarial analysis and reporting specific to run-off, building frameworks to assess profitability of run-off actions; minimizing any future surprises and creating a more predictable run-off path.
Key Responsibilities
* Perform quarterly studies and roll forward analyses and present to the Legacy reserving board
* Implement a "performance board" model across the Group
* Strengthen the reserve-claims feedback loop and instill rigorous tracking and dialog around quarterly AvE emergence and monthly early signals
* Run actuarial-led deep dives for any problematic or uncertain areas of the portfolio
* Translate claim events into reserve implications and capital impact
* Support pricing of externally contemplated deals (LPTs/retros) as needed
* Develop granular IBNR allocation methodologies to gauge profitability of anticipated liability acceleration strategies (e.g., policy buybacks)
* Translate reserving and claims signals into actionable run-off insights and interventions
* Enhance transparency and credibility for the Senior Leadership team and rating agencies
Required Experience
* 10+ years actuarial experience and an ACAS or FCAS designation
* Advanced degree in a quantitative discipline preferred, including but not limited to Actuarial Science, Mathematics, Statistics, or Computer Science
* Expertise in P&C insurance or reinsurance reserving, with specific run-off reserving experience as an added bonus
* Strong business focus and experience with analyzing P&C claims and trends
* Technical know-how including Excel, VBA, SQL and Python
* Global Insurance/Reinsurance industry experience a plus
* Strong analytical and problem-solving skills
* Excellent communication and interpersonal skills
* Detail oriented and highly organized
* Skilled in time management and the ability to prioritize tasks
* Excellent critical thinking skills
* Strong relationship management and influencing skills
#LI-Hybrid
#LI-ED1
The base salary range for this position is $250,000 - $310,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.
Our Culture
At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.
* Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
* Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.
All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.
Type:
Regular
Time Type:
Full time
Primary Location:
Warren, NJ
Additional Locations:
Atlanta, GA, Boston, MA, Chicago, IL - South Riverside, Miami, FL, New York, NY, Philadelphia, PA
Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at *********************************.
Everest U.S. Privacy Notice | Everest (everestglobal.com)
$96k-146k yearly est. Auto-Apply 2d ago
Assistant Actuary II
Argonaut Management Services, Inc.
Data scientist job in New York, NY
Argo Group International Holdings, Inc.and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions.
Job Description
American National is seeking an exceptional Reserving Actuary to join our dynamic and forward-thinking team at American National, where innovation meets collaboration! We are a leading company in the insurance industry, dedicated to shaping the future with our flagship Farm and Ranch product. Our team is passionate about delivering exceptional results and making a real impact. We are seeking a talented and motivated Assistant Actuary II to join our collaborative Reserving team. In this role you will have the opportunity to work on exciting and challenging projects while shaping the future of our team.
Responsibilities
* Perform monthly/quarterly reserve reviews, including analysis of loss development trends and reserve adequacy.
* Collaborate with other functional areas (Claims, Finance, Underwriting, Pricing) to understand trends impacting reserve analyses and provide insights on key loss drivers.
* Assist the Appointed Actuary on the Statement of Actuarial Opinion and other financial reporting requirements.
* Prepare presentations/communications of analyses to various audiences.
* Proactively monitor relevant trends. Track and report on appropriate metrics.
* Persistent pursuit of improvement including streamlining processes, data, exploration of new methods, techniques, and practices.
Qualifications
* A Bachelor's degree in mathematics, statistics, economics, or a related field with a strong mathematical background is required.
* 2 or more exams with desire to obtain ACAS
* Prior experience with SQL, Python, or R strongly preferred.
Position is posted between 90k and 137K
Level of role, Assistant Actuary I or II, will be commensurate with experience
PLEASE NOTE:
Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.
If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at .
Notice to Recruitment Agencies:
Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions.
We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics.
The collection of your personal information is subject to our HR Privacy Notice
Benefits and Compensation
We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.
How much does a data scientist earn in Babylon, NY?
The average data scientist in Babylon, NY earns between $72,000 and $136,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.
Average data scientist salary in Babylon, NY
$99,000
What are the biggest employers of Data Scientists in Babylon, NY?
The biggest employers of Data Scientists in Babylon, NY are: