CrawlJobs Logo

Senior Data Scientist

apollo-solutions.com Logo

Apollo Solutions

Location Icon

Location:
United States , New York

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

120000.00 - 177000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

We’re partnering with a major enterprise organization undergoing significant investment in AI and data capabilities. This role sits within a central AI function focused on building production-grade machine learning and generative AI solutions that improve customer experience, operational efficiency, and decision intelligence across the business. You’ll work on real, deployed AI systems - collaborating closely with product, engineering, and business stakeholders to design, build, and scale intelligent applications.

Job Responsibility:

  • Deliver AI and machine learning solutions that solve real operational and customer-facing challenges
  • Contribute across the full model lifecycle — from data exploration and feature engineering through to deployment, monitoring, and iteration
  • Build and productionize ML and GenAI solutions using modern cloud and data platforms
  • Design and evaluate intelligent automation solutions using LLMs, retrieval systems, and agent-style architectures
  • Implement and optimize RAG pipelines, including embeddings, vector search, retrieval tuning, and prompt orchestration
  • Expose AI capabilities through APIs, internal tools, and workflow applications used by business teams
  • Build rapid prototypes and lightweight interfaces to support validation and adoption
  • Follow best practices around model governance, testing, monitoring, and CI/CD in collaboration with platform and MLOps teams

Requirements:

  • Advanced degree in Computer Science, Engineering, Mathematics, Statistics, or similar quantitative field
  • 7+ years applying data science, machine learning, or applied AI in production environments
  • Strong Python and SQL skills
  • Solid understanding of software engineering fundamentals (version control, testing, logging, deployment workflows)
  • Experience working with modern cloud and data platforms (e.g. AWS-based ML tooling, enterprise data warehouses, distributed compute platforms)
  • Practical exposure to LLMs, RAG architectures, or agent-based systems
  • Strong grounding in core ML concepts including feature engineering, model evaluation, and classical ML approaches (e.g. tree-based models, supervised/unsupervised learning)
  • Ability to communicate technical work clearly to non-technical stakeholders and influence decision making
What we offer:

bonus

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Apollo Solutions - 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 Senior Data Scientist

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

Senior Data Scientist

The Community Growth team at the Wikimedia Foundation works to improve knowledge...
Location
Location
United States of America , San Francisco
Salary
Salary:
106227.00 - 167858.00 USD / Year
wikimediafoundation.org Logo
Wikimedia Foundation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Fluency in English
  • Bachelor’s degree and five years related experience OR a Master’s degree and at least three years related experience
  • or equivalent advanced work experience in data analysis, data science, research and analytics or a related field
  • Proven experience with programming languages, particularly SQL and Python
  • Experience calling and working with APIs in Python, including authentication, pagination, and JSON data handling
  • Experience working with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark)
  • Experience with data visualization and dashboarding tools like Apache Superset, Google Looker Studio, or similar tools
  • Experience with Google Suite (Including the full suite of collaborative apps and advanced coding in Google Sheets/MS Excel)
  • Ability to address problems of diverse scope using good judgment in selecting methods and techniques for obtaining quality and efficient solutions
  • Ability to communicate findings and recommendations clearly to colleagues with diverse backgrounds and areas of expertise
Job Responsibility
Job Responsibility
  • In partnership with the DL&E Manager, building data systems for grant-funded activities and outcomes that enable standardization and connection with our primary data pipelines
  • Creation and maintenance of internal data dashboards to track Community Growth programs' outcomes and impacts
  • Identifying actionable insights from trends and themes across datasets to inform reports and decision-making about grantmaking, partnerships, and programmatic interventions
  • Designing Community Growth data processes for maximum effectiveness, building data frames and connecting to pipelines for effective and efficient storage and retrieval, basic aggregation and ETL
  • Collaborating across departments, including with technology data teams, to ensure that calculation of metrics are aligned with Foundation-level metric practices
  • Proactively identifying requirements to support and improve an evolving data ecosystem
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

Data Science is all about breaking new ground to enable businesses to answer the...
Location
Location
United States , Round Rock, Texas; Hopkinton, Massachusetts
Salary
Salary:
160000.00 - 206000.00 USD / Year
dell.com Logo
Dell
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proficient with writing sophisticated, clean, and object oriented Python code
  • Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression) with experience in ML model deployment
  • Ability to work with internal stakeholders to transfer business questions into data science problem statements
  • Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists
  • 5+ years of experience as a data scientist
Job Responsibility
Job Responsibility
  • Contribute to business strategy and influence decision making based on information gained from deep dive analysis
  • Produce actionable and compelling recommendations by interpreting insights from complex data sets
  • Design processes to consolidate and examine unstructured data to generate actionable insights
  • Partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines
  • Solve business and customer issues utilizing AI/ML
  • Build prototypes and scalable AI/ML solutions that will be integrated into software products
  • Collaborate with software engineers, business stakeholders and product owners in an Agile environment
  • Have complete ownership of model outcomes and drive continuous improvement
What we offer
What we offer
  • Comprehensive Healthcare Programs
  • Award Winning Financial Wellness Tools and Resources
  • Generous Leave of Absence for New Parents and Caregivers
  • Industry Leading Wellness Platform
  • Employee Assistance Program
Read More
Arrow Right

Senior Data Scientist

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel se...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
https://www.kayak.com/ Logo
KAYAK
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Masters, PhD) in Data Science, Statistics or a related field.
  • Extensive experience with data manipulation and extraction using relational databases (SQL)
  • Ability to write high quality, scalable, maintainable code (Python, R)
  • Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
  • Strong foundation in experimentation methods and causal inference techniques
  • Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
  • Proactive work style, needing minimal guidance and demonstrating good judgment
  • Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
  • Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models
Job Responsibility
Job Responsibility
  • Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
  • Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
  • Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
  • Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
  • Build standardized and scalable solutions, and lead from front in setting up the best practices
What we offer
What we offer
  • Work from (almost) anywhere for up to 20 days per year
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to HeadSpace
  • Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
  • No meeting Fridays
  • Paid parental leave
  • Generous paid vacation + time off for your birthday
  • Paid volunteer time
  • Development Dollars
  • Leadership development
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...
Location
Location
United States , Cambridge
Salary
Salary:
Not provided
https://www.kayak.com/ Logo
KAYAK
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Masters, PhD) in Data Science, Statistics or a related field.
  • Extensive experience with data manipulation and extraction using relational databases (SQL)
  • Ability to write high quality, scalable, maintainable code (Python, R)
  • Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
  • Strong foundation in experimentation methods and causal inference techniques
  • Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
  • Proactive work style, needing minimal guidance and demonstrating good judgment
  • Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
  • Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models
Job Responsibility
Job Responsibility
  • Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
  • Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
  • Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
  • Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
  • Build standardized and scalable solutions, and lead from front in setting up the best practices
What we offer
What we offer
  • Work from (almost) anywhere for up to 20 days per year
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to HeadSpace
  • Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
  • No meeting Fridays
  • Paid parental leave
  • Generous paid vacation + time off for your birthday
  • Paid volunteer time
  • Development Dollars
  • Leadership development
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...
Location
Location
Denmark , Copenhagen
Salary
Salary:
Not provided
https://www.kayak.com/ Logo
KAYAK
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Masters, PhD) in Data Science, Statistics or a related field
  • Extensive experience with data manipulation and extraction using relational databases (SQL)
  • Ability to write high quality, scalable, maintainable code (Python, R)
  • Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
  • Strong foundation in experimentation methods and causal inference techniques
  • Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
  • Proactive work style, needing minimal guidance and demonstrating good judgment
  • Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
  • Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models
Job Responsibility
Job Responsibility
  • Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
  • Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
  • Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
  • Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
  • Build standardized and scalable solutions, and lead from front in setting up the best practices
What we offer
What we offer
  • Work from (almost) anywhere for up to 20 days per year
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to HeadSpace
  • Company-wide week off a year
  • No meeting Fridays
  • Paid parental leave
  • Generous paid vacation
  • Time off for your birthday
  • Paid volunteer time
  • Development Dollars
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...
Location
Location
Switzerland , Zurich
Salary
Salary:
Not provided
https://www.kayak.com/ Logo
KAYAK
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Masters, PhD) in Data Science, Statistics or a related field
  • Extensive experience with data manipulation and extraction using relational databases (SQL)
  • Ability to write high quality, scalable, maintainable code (Python, R)
  • Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
  • Strong foundation in experimentation methods and causal inference techniques
  • Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
  • Proactive work style, needing minimal guidance and demonstrating good judgment
  • Has a keen sense of success criteria and demonstrates success through end-to-end QA
  • Independently adheres to strong testing and validation principles
  • Passionate about large data sets in marketing, finance, and economics
Job Responsibility
Job Responsibility
  • Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
  • Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
  • Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
  • Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
  • Build standardized and scalable solutions, and lead from front in setting up the best practices
What we offer
What we offer
  • Work from (almost) anywhere for up to 20 days per year
  • Focus on mental health and well-being: Company-paid therapy sessions through SpringHealth, Company-paid subscription to HeadSpace, Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
  • No meeting Fridays
  • Paid parental leave
  • Generous paid vacation + time off for your birthday
  • Paid volunteer time
  • Focus on your career growth: Development Dollars, Leadership development, Access to thousand of on-demand e-learnings
  • Travel Discounts
  • Employee Resource Groups
  • 5 weeks paid vacation
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

Are you brimming with fresh ideas to lead our Data Science team in providing dat...
Location
Location
Belgium , Diegem
Salary
Salary:
Not provided
https://www.soprasteria.com Logo
Sopra Steria
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 7+ years of experience in Data Science
  • Coordinate the development and implementation of solutions with machine and deep learning at our customers
  • Assess the quality and performance of existing predictive models
  • Lead a team of talented Data Scientists
  • Master's degree (or equivalent through experience) in a field that is highly data-driven
  • Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning
  • Experience in one of the following languages: Python, R, Spark, Scala, Java or C++
  • Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases
  • Well versed in open-source software and libraries in Python and/or R for machine and deep learning
  • Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus
Job Responsibility
Job Responsibility
  • Lead our Data Science team in providing data-driven solutions to our customers based on the latest machine learning models and deep learning algorithms
  • Apply skills to real scenarios and in different domains, such as drug discovery in healthcare, fraud detection in banks, the development of recommendation systems in the retail sector, and more
What we offer
What we offer
  • Mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
  • Continuous learning opportunities through the Sopra Steria Academy
  • The opportunity to connect with fellow Sopra Steria colleagues at various team events
  • Fulltime
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