Data Scientist

Data Scientist, GTM Analytics

Our data team’s mission is to fuel Airtable’s growth and operations. We are a st...

Location

United States , San Francisco; New York City; Austin

Salary:

161500.00 - 221500.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred
4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders
Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR)
Familiar with CRM platforms (i.e., Salesforce)
6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery
6+ years of experience working with Python or R for analytics or data science projects
6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc.
Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran
Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design
Excellent communication skills to present findings to both technical and non-technical audiences

Job Responsibility

Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices
Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.
Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight
Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products
Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Lead Data Scientist

Prism is seeking a Lead Data Scientist who will make high-impact, hands-on contr...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

140000.00 - 160000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Knowledge of data labeling/categorization, feature development and selection, model design and training, testing, coding, implementation, monitoring, and governance
Financial services industry data expertise, including types of data sources applicable to different types of business decisions based on regulatory factors
Experience evaluating alternative statistical approaches, including review of academic papers on new techniques and ideas, and justifying which approach is best suited for which problems and why

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

medical
dental
vision
401(k)
equity-based compensation

Fulltime

Senior Data Scientist

We are seeking a highly experienced and motivated Senior Data Scientist to join ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 8–14 years of relevant experience

Job Responsibility

Lead the design, development, and deployment of advanced analytics, statistical models, and machine learning solutions to generate actionable insights that enhance compliance monitoring, auditing, and risk assessment
Manage and oversee data science projects end-to-end, including project scoping, planning, execution, and delivery
ensure quality control (QC) and validation of work produced by junior data scientists
Develop scalable, automated data pipelines and AI-driven analytics products to improve efficiency and accuracy in audit and compliance processes
Partner with cross-functional stakeholders across Compliance, Internal Audit, Commercial, R&D, and Information Systems to design and implement analytics solutions aligned with business priorities
Access, integrate, and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify trends, anomalies, and compliance risks
Serve as a technical and analytical mentor to data scientists and analysts, promoting best practices in data science methodology, documentation, and reproducibility
Stay current with emerging technologies and techniques, including generative AI, agentic AI, and automation frameworks, to continuously advance analytical capabilities
Effectively communicate complex analytical concepts and findings to both technical and non-technical audiences, including senior leaders
Contribute to strategic planning and roadmap development for analytics initiatives within Compliance and Internal Audit

What we offer

competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Senior Data Scientist

We are seeking a Senior Data Scientist to join our Security Analytics team, lead...

Location

Philippines , Makati City

Salary:

Not provided

Avaloq

Expiration Date

Until further notice

Requirements

Lead and coordinate the Security Analytics team, including project planning, prioritization, and resource allocation
Perform data analysis and statistical modeling to uncover risks, anomalous patterns, and emerging threats
Apply machine learning and AI techniques (e.g., anomaly detection, clustering, risk scoring) to enhance threat detection and security insights
Develop dashboards, reports, and metrics for monitoring cloud security, IAM activity, network events, and operational risks
Aggregate and integrate data from multiple sources (logs, SIEM, cloud telemetry, vulnerability scans) for analysis
Collaborate with Security Engineers and Cloud Specialists to ensure data availability and quality
Identify trends, generate insights, and communicate findings to security, risk, and executive stakeholders
Mentor and guide team members, establishing best practices in data collection, analysis, and reporting
Support security risk assessments and operational metrics tracking for cloud environments
Contribute to the automation of analytics workflows for recurring reporting and operational dashboards

Job Responsibility

Leading the development of data-driven intelligence across cloud and application environments
Combining hands-on advanced analytics with team coordination
Ensuring the Security Analytics team delivers actionable insights, predictive models, and operational intelligence to strengthen cloud security posture
Working at the intersection of data science, cloud security, and risk management
Transforming complex telemetry into actionable security insights

What we offer

Annual bonus
Flexible working
Instant recognition scheme
Access to Udemy for professional and personal learning

Fulltime

Lead Data Scientist

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-16 years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Advanced degree in Computer Science, Data Science, Machine Learning, or a related field
Proven experience in a senior AIML or data science role, preferably within the financial sector
In-depth knowledge of regulatory compliance, particularly Consent Orders and Article V

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Lead the development and deployment of AIML models to ensure compliance with Consent Orders and Article V regulations
Collaborate with compliance officers, legal teams, and other stakeholders to translate regulatory requirements into technical specifications

Fulltime

Senior Data Scientist - Literature

Help bring science to life and join a leading pharmaceutical company to play a k...

Location

Switzerland , Basel

Salary:

Not provided

Proclinical

Expiration Date

Until further notice

Requirements

Degree in medicine, pharmacy, or natural sciences
Experience in information science, particularly within pharmacovigilance and drug development
Strong knowledge of medicine, drug development, and biomedical literature databases
Proficiency in scientific data evaluation, interpretation, and synthesis
Excellent written and verbal communication skills, with the ability to explain search strategies effectively
Expertise in classical text searching and familiarity with literature sources and databases
Ability to build strong working relationships in a cross-functional, international environment
Self-motivated, detail-oriented, and capable of prioritizing tasks effectively
Fluent in English, both written and spoken

Job Responsibility

Conduct ad-hoc literature searches in biomedical databases to identify adverse drug reactions and risks associated with medicinal products and devices
Develop, test, document, and maintain search profiles for various safety and efficacy reports, including DSURs, PBRERs, and MDIRs
Ensure timely and accurate delivery of search results while adhering to standard operating procedures
Collaborate with internal stakeholders to define search criteria and maintain effective relationships
Review and validate the plausibility of literature search results
Actively contribute to the Safety Literature Group by sharing knowledge and best practices
Create and deliver training materials on retrieval and reporting topics for team members and stakeholders
Proactively identify opportunities to improve processes, methods, and technologies
Address and escalate any issues related to literature searches as needed

We are seeking a passionate, data savvy Data Scientist to join the Analytics tea...

Location

United States , Columbus

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Master's degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science or Information Systems, Operations Research, or a STEM degree AND a minimum of 3 years of work experience in analytics or data science. If candidate has a PhD, no work experience is required
In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years work experience in analytics or data science
Experience with programming languages R or Python
Business intelligence and data mining tools Tableau and Tableau Server
Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop

Job Responsibility

Synthesize data from our analytics tools into actionable insights about customer and prospect behavior, digital sales and servicing performance, and customer value delivery
Clearly communicate these recommendations to internal stakeholders and senior leadership
Actively participate in cross-functional initiatives, collaborating with team members to achieve and measure project success
Provide opportunity analysis, measurement plans, dashboards, and post-release/testing analyses
Ability to quickly grasp complex technical concepts and make them easily understandable through various communication mediums like visualizations and presentations
Extract and analyze data using analytics tools such as Python, R, and/or SAS
Create compelling, intuitive dashboards to enable the business with critical metrics, with a focus on data automation, anomaly detection, and actionable data visualizations
Partner with Digital, Marketing, Product and IT partners to evaluate the success of new initiatives
Collaborate with Fraud and Risk partners to identify and mitigate threats to assets
Apply visualization techniques to internal and external data sources to make accurate and actionable analyses in a timely fashion

What we offer

Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan

Fulltime

Data Scientists

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-d...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-12 years of experience in Data Scientist/Analytics
Ability to retrieve and manipulate data
Advanced analytic ability and problem solving skills
Ability to build partnerships with cross-functional teams
Working experience in a quantitative field, Financial/Credit Card industry
Willing to learn and can-do attitude
Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
Skills-SQL, Python, Machine Learning, Advance modelling, PySpark, Decision Tree

Job Responsibility

Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
Identify and compile data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis
which may include utilizing statistical models / algorithms and data visualization techniques
Specialization in marketing, risk, digital and AML fields possible
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Data Scientist - Risk Analytics

Capital on Tap

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 15, 2026

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