CrawlJobs Logo

Data Scientist, Customer Analytics

cresta.com Logo

Cresta

Location Icon

Location:
United States

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

Cresta is expanding its Customer Success organization with a dedicated analytics function focused on customer value realization. As a Data Scientist, Customer Analytics, you’ll be the technical engine behind measuring and storytelling customer impact—designing experiments, analyzing conversational and operational data, and building dashboards that quantify Cresta’s value. You’ll sit within the Customer Success organization and partner closely with Business Value, Customer Success Managers, Sales, Product, and Engineering. Your work will power ROI discussions, QBRs, pilots, and renewal conversations. This role is ideal for someone early in their data science career who enjoys hands-on analytics, problem-solving, and turning ambiguous business questions into clear, actionable insights.

Job Responsibility:

  • Conduct exploratory data analysis (EDA) across conversational, operational, and performance datasets
  • Translate ambiguous business questions into structured analytical problems
  • Analyze how workflow, behavior, and product usage changes translate into business value
  • Partner with Business Value consultants on customer-facing insights
  • Design and analyze A/B tests and quasi-experiments to measure Cresta’s impact
  • Establish baselines, metrics, and measurement plans for pilots
  • Ensure results are statistically rigorous and easy for non-technical stakeholders to understand
  • Build reusable templates and frameworks for consistent experimentation
  • Build and maintain dashboards for Customer Success, Business Value, and Sales
  • Develop Python and SQL tools to improve repeatability, accuracy, and scalability
  • Create standardized reporting packages for pilots, QBRs, and renewals
  • Develop custom statistical or ML models (e.g., segmentation, predictive scoring, lightweight NLP)
  • Maintain reusable modeling pipelines for value insights and roadmap analysis
  • Partner with Engineering when guidance or productionization support is needed
  • Translate analyses into clear business and financial narratives
  • Support CSMs with data and insights for strategic QBRs
  • Partner with Product and Engineering on metrics, data availability, and analytics enhancements

Requirements:

  • 1–3 years of experience in a data-focused role or relevant academic experience
  • Strong proficiency in SQL and experience working with large datasets
  • Proficiency in Python (Pandas, NumPy, scikit-learn)
  • Solid understanding of statistics, hypothesis testing, and experimental design
  • Experience building dashboards in tools such as Hex, Looker, Tableau, or similar
  • Strong communication skills with non-technical stakeholders
  • Comfort working in a fast-paced, cross-functional environment

Nice to have:

  • Experience with conversational data (call transcripts, chats) or text analytics
  • Familiarity with causal inference, uplift modeling, or A/B testing frameworks
  • Exposure to customer-facing analytics or support roles
  • Experience with cloud data stacks (Snowflake, Redshift, etc.)
  • Basic NLP or classification experience related to agent behavior or customer intent
What we offer:
  • Base salary + Bonus + Equity
  • Comprehensive benefits package for you and your family

Additional Information:

Job Posted:
January 18, 2026

Work Type:
Remote work
Icon
Cresta - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Scientist, Customer Analytics

Data Scientist, GTM Analytics

Our data team’s mission is to fuel Airtable’s growth and operations. We are a st...
Location
Location
United States , San Francisco; New York City; Austin
Salary
Salary:
161500.00 - 221500.00 USD / Year
airtable.com Logo
Airtable
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Benefits
  • Restricted stock units
  • Incentive compensation
  • Fulltime
Read More
Arrow Right

Data Scientist - Consumer Analytics

Growth through diversity, equity, and inclusion. As an ethical business, we do w...
Location
Location
India
Salary
Salary:
Not provided
lingarogroup.com Logo
Lingaro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
  • Familiarity with customer analytics DS concepts or advanced forecasting
  • Model hyperparameter tuning
  • Model validation frameworks
  • Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation
  • Fluency in Python, basic working knowledge of SQL
  • Knowledge of specific DS/ML libraries
  • Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)
  • Basic computer programming skills and familiarity with programming concepts
  • Strong business acumen
Job Responsibility
Job Responsibility
  • Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
  • Analyzing and interpreting the findings
  • Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
  • Pre-sales activities (at senior consultant level)
What we offer
What we offer
  • Stable employment
  • “Office as an option” model
  • Flexibility regarding working hours and your preferred form of contract
  • Comprehensive online onboarding program with a “Buddy” from day 1
  • Cooperation with top-tier engineers and experts
  • Unlimited access to the Udemy learning platform from day 1
  • Certificate training programs
  • Upskilling support
  • Internal Gallup Certified Strengths Coach to support your growth
  • Grow as we grow as a company
Read More
Arrow Right

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...
Location
Location
United States , Bethesda, MD
Salary
Salary:
52.06 - 82.45 USD / Hour
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
  • Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
  • Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
  • Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
  • Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement
Job Responsibility
Job Responsibility
  • Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
  • Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
  • Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
  • Develop and implement segmentation and modeling strategies
  • Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
  • Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
  • Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
  • Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
  • Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
  • Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows
What we offer
What we offer
  • Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts
  • Fulltime
Read More
Arrow Right

Data Scientist

Circle K is seeking a Data Scientist responsible for delivering advanced analyti...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A higher degree in an analytical discipline like Finance, Mathematics, Statistics, Engineering, or similar
  • Experience: 3-4 years for Data Scientist
  • Relevant working experience in a quantitative/ applied analytics role
  • Experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python
  • Excellent communication skills in English, both verbal and written
  • Delivery Excellence
  • Business disposition
  • Social intelligence
  • Innovation and agility
  • Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.)
Job Responsibility
Job Responsibility
  • Evaluate performance of categories and activities, using proven and advanced analytical methods
  • Support stakeholders with actionable insights based on transactional, financial or customer data on an ongoing basis
  • Oversee the design and measurement of experiments and pilots
  • Initiate and conduct advanced analytics projects such as clustering, forecasting, causal impact
  • Build highly impactful and intuitive dashboards that bring the underlying data to life through insights
  • Improve data quality by using and improving tools to automatically detect issues
  • Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol
  • Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas
  • Work with Peers, Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of analytical applications, from development of mock-ups and storyboards to complete production ready application
  • Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business
  • Fulltime
Read More
Arrow Right

Principal Data Scientist

The Principal Data Scientist – Media Attribution will lead the development of cu...
Location
Location
United States , Bellevue
Salary
Salary:
127400.00 - 229800.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience in marketing and media analytics, with a focus on attribution modeling, causal inference, and media mix optimization
  • Strong background in machine learning, econometrics, and statistical modeling with applications in marketing measurement
  • Expertise in Python, R, SQL, and cloud platforms (AWS, GCP, or Azure) for scalable modeling and data processing
  • Experience with experimental design and incrementality testing in digital and traditional media channels
  • Ability to communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions
  • Ph.D. or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Applied Mathematics)
Job Responsibility
Job Responsibility
  • Lead the development and refinement of attribution models (MTA, MMM) to quantify the impact of media investments across channels (digital, social, TV, search, etc.)
  • Advance causal inference techniques to improve media measurement, including uplift modeling, propensity scoring, and Bayesian methods
  • Develop forecasting models to predict marketing performance, budget allocation impacts, and long-term customer acquisition trends
  • Enhance ad testing methodologies, including A/B testing, synthetic control experiments, and incrementality testing, to measure media effectiveness accurately
  • Collaborate with marketing, finance, and analytics teams to translate model insights into business strategies that drive ROI improvements
  • Optimize media spend through AI-driven decisioning, leveraging reinforcement learning, Bayesian optimization, and econometric modeling
  • Stay at the forefront of AI & ML innovations in marketing measurement, driving technical advancements and thought leadership within the team
  • Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments
What we offer
What we offer
  • medical, dental and vision insurance
  • flexible spending account
  • 401(k)
  • employee stock grants
  • employee stock purchase plan
  • paid time off
  • up to 12 paid holidays
  • paid parental and family leave
  • family building benefits
  • back-up care
  • Fulltime
Read More
Arrow Right

Data Scientist

Does the thought of uncovering the next big 'aha!' insight excite you? Do you lo...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Be graduating by January 2026 with Bachelor, Masters, or PhD in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, engineering or computer science)
  • Have experience manipulating data using one of SQL, R, Python (or other languages)
  • Demonstrate the ability to translate business questions into technical solutions, and communicate analytical results to broad audiences
  • Have a passion for collaborating with cross-functional team members, like engineers, product managers, designers and other analysts
Job Responsibility
Job Responsibility
  • Play with our seriously large volume of data to discover insightful trends, and then collaborate with other Atlassians to turn your insights to actions drive smarter product decisions and ultimately, delight our customers
  • Measure the impact of our product strategy
  • designing and analysing experiments and product launches
  • Share your high-quality insights and recommendations to peers and leadership in order to influence or drive critical business decisions
  • Super-launch your career through our experienced analyst mentoring while gaining invaluable exposure to the role of analytics and data science at a fast-growing global technology giant
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Lead Data Scientist

Prism is seeking a Lead Data Scientist who will make high-impact, hands-on contr...
Location
Location
United States , NYC or San Diego (La Jolla/UTC)
Salary
Salary:
140000.00 - 160000.00 USD / Year
prismdata.com Logo
Prism Data
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • medical
  • dental
  • vision
  • 401(k)
  • equity-based compensation
  • Fulltime
Read More
Arrow Right

D&T Head of Data, BI & Analytics

The Head of Data Sciences, Analytics, AI, and BI is a senior strategic and opera...
Location
Location
Salary
Salary:
Not provided
aramex.com Logo
Aramex
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Leadership Behaviors: Collaborate & break silos
  • Execution & Accountability
  • Growth mindset
  • Innovation
Job Responsibility
Job Responsibility
  • Develop and communicate a long-term vision and strategy for Data Sciences, Analytics, AI, and BI, aligned with Aramex’s business strategy and growth objectives.
  • Drive innovation in analytics and AI, exploring emerging technologies, algorithms and methodologies to enhance business decision-making and operational efficiency.
  • Proactively engage business stakeholders to understand complex requirements, desired outcomes, and strategic priorities.
  • Design and deliver fit-for-purpose analytics and AI solutions that optimize operations, improve customer satisfaction, and drive revenue.
  • Use insights from customer feedback, usage analytics, and emerging trends to identify continuous improvement opportunities.
  • Own end to end operations of enterprise analytics platforms, including GCP-based ecosystems (BigQuery, Dataflow, Pub/Sub, Looker) and legacy BI systems (SQL Server, Oracle BI, ETL pipelines).
  • Ensure platform stability, performance, security and compliance through robust ITIL-aligned processes (incident, problem, change, release management).
  • Define and maintain SLAs, SLOs, and operational KPIs for uptime, pipeline reliability, cost efficiency, and user satisfaction.
  • Lead post-project operationalization, including service acceptance, monitoring, and continuous improvement loops.
  • Lead and mentor a high performing team of data scientists, AI engineers, BI analysts, and data operations engineers.
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy