Senior Data Scientist

As a Senior Data Scientist at Fever, you will sit at the intersection of busines...

Location

Spain , Madrid; Barcelona

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

You have solid math, statistics and Machine Learning fundamentals (typically MSc or PhD level)
You can turn your ideas into reality, meaning that you are a master of common data and ML tools (e.g. SQL, Pandas, Numpy, …)
You have a scientific mindset, a problem-first attitude and are highly self-critical
You have an entrepreneurial spirit, get stuff done and thrive in a fast paced environment
You are comfortable with software engineering best practices and write robust, reproducible and maintainable code
You have excellent communication skills and are proficient in business English

Job Responsibility

Understand complex business problems, build and validate hypotheses, devise analytical and computational solutions, build the technology required for those solutions, identify valuable internal and external data sources
Share best practices and learnt lessons
Mentor other new joiners to the team
Promote best practices and fresh ideas

What we offer

Attractive compensation package
Stock options
Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Flexible hybrid model
Responsibility from day one and professional and personal growth
Great work environment with a young, international team of talented people to work with
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership

Fulltime

Senior Data Scientist - MKT Optimisation

Sitting at the intersection of business and engineering, Data Scientists work in...

Location

Spain , Madrid;Barcelona

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

You have solid math, statistics and Machine Learning fundamentals (typically MSc or PhD level)
You have a strong understanding of statistical analysis and modeling including regression, clustering, and time series analysis and forecasting
You have prior experience working in Web analytics and marketing optimisation problems such as Attribution, Marketing Mix, and funnel optimisation
You are a master of common data and ML tools (e.g. SQL, Pandas, Numpy, …)
You can work effectively with data engineers, analysts, software engineers, etc
You can turn your ideas into reality
You have a scientific mindset, a problem-first attitude and are highly self-critical
You can translate complex problems into mathematical formulations
You have an entrepreneurial spirit, get stuff done and thrive in a fast paced environment
You are comfortable with software engineering best practices and write robust, reproducible and maintainable code

Job Responsibility

You will work closely with our stakeholders in marketing, product, and engineering to devise data-driven solutions to optimise our marketing efforts
You will develop and maintain attribution and marketing mix models to accurately quantify the impact of various marketing channels
You will devise models to drive campaign targeting and budget allocation to optimise the return of investment and efficiency of marketing campaigns
You will design, execute, and analyze marketing optimisation experiments, leveraging statistics, econometric models, and causal inference techniques to determine the true impact of specific marketing interventions.

What we offer

Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Stock options
Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Flexible hybrid model. Our offices are located in Madrid and Barcelona
Responsibility from day one and professional and personal growth
Great work environment with a young, international team of talented people to work with
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership

Fulltime

Senior Data Scientist

Sitting at the intersection of business and engineering, Data Scientists work in...

Location

Spain

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

solid math, statistics and Machine Learning fundamentals (typically MSc or PhD level)
strong understanding of statistical analysis and modeling including regression, econometric models, time series analysis and forecasting
mastery of common data and ML tools (e.g. SQL, Pandas, Numpy, …)
experience developing and deploying models for business applications
scientific mindset, problem-first attitude and highly self-critical
entrepreneurial spirit, ownership of work, communicate early and often, take controlled risks
comfortable with software engineering best practices
excellent communication skills and proficient in business English

Job Responsibility

work closely with stakeholders in business, product, and engineering to devise data-driven solutions
develop and maintain models to accurately estimate demand and price elasticity
analyse and exploit cross effects across products and contexts
design, execute, and analyze experiments leveraging statistics, econometric models, causal inference techniques
collaborate with partners to devise solutions across domains

What we offer

attractive compensation package consisting of base salary and potential to earn significant bonus
stock options
40% discount on all Fever events and experiences
flexible hybrid model
responsibility from day one and professional and personal growth
great work environment with a young, international team
health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership
possibility to receive in advance part of your salary by Payflow

Fulltime

Senior Data Scientist - AI Modeling

As a Senior Data Scientist - AI Modeling at Baxter, you will work on creating an...

Location

United States

Salary:

104000.00 - 143000.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field
4+ years of professional experience with a variety of data products / data science model / algorithm development and implementing in production
Software development experience
Experience with healthcare data and working in a HIPAA regulated environment preferred
Experience with varying database structures and large datasets preferred
Experience with modern data science tools, such as Spark, Scala, Python, Databricks
Experience in Microsoft Azure cloud environment is preferred
Proficiency with developing data visualization technology and capabilities (i.e., Power BI, Tableau)
Brings a drive for creatively applying pragmatic and scalable approaches to Machine Learning to tackle difficult problems affecting patients and providers
Passionate about working on a high-performance team toward a multi-year vision with incremental deliverables

Job Responsibility

Responsible for the development and implementation of predictive modeling algorithms and techniques to address unmet needs, customer/business problems and optimize user experiences
Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services
Predictive and generative AI Modeling
Formulate problem statements and hypotheses for diverse business challenges (clinical, operational and business process optimization problems)
Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights
Prepare data for effective model training
Develop, train, and evaluate predictive AI models using various tailored to specific problems
Continuously refine and optimize models for performance, scalability, and efficiency
Deploy models into production environments and supervise their performance
Identify opportunities where generative AI models can add value

What we offer

Comprehensive medical and dental coverage starting on day one
Insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident
Employee Stock Purchase Plan (ESPP) with discount
401(k) Retirement Savings Plan with employee contributions and company matching
Flexible Spending Accounts
Educational assistance programs
Paid holidays
Paid time off ranging from 20 to 35 days based on length of service
Family and medical leaves of absence
Paid parental leave

Fulltime

Senior Data Scientist - AI Modeling

As a Senior Data Scientist specializing in AI Modeling, you will develop and imp...

Location

United States

Salary:

104000.00 - 143000.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in STEM or a similar quantitative analytics field
4+ years of professional experience with a variety of data products/data science model/algorithm development and implementing in production
Software development experience
Experience with healthcare data and working in a HIPAA regulated environment preferred
Experience with varying database structures and large datasets preferred
Experience with modern data science tools including Spark, Scala, Python, Databricks, and more
Experience in Microsoft Azure cloud environment preferred
Proficiency with developing data visualization technology and capabilities such as Power BI and Tableau
Entrepreneurial self-starter, curious about both technology and business, and driven by delivering end-user value and impact.

Job Responsibility

Development and implementation of predictive modeling algorithms and techniques to address unmet needs, customer/business problems, and optimize user experiences
Conduct research to stay at the forefront of AI advancements
Predictive and generative AI Modeling
Formulate problem statements and hypotheses for diverse business challenges
Create Spark & Python code in Databricks to retrieve data and create actionable insights
Prepare data for effective model training
Develop, train, and evaluate predictive AI models
Continuously refine and optimize models
Deploy models into production environments and supervise their performance
Identify opportunities for generative AI models

What we offer

Comprehensive compensation and benefits packages
Health and dental coverage starting on day one
Basic life, accident, short-term and long-term disability insurance
Business travel accident insurance
Employee Stock Purchase Plan (ESPP) with discounted company stock
401(k) Retirement Savings Plan with employee contributions and company matching
Flexible Spending Accounts
Educational assistance programs
Paid holidays
Paid time off ranging from 20 to 35 days

Fulltime

Senior Generative AI Data Scientist

The Citi Innovation Lab is a leader in creating new ideas, innovative technology...

Location

Israel , Tel Aviv

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Ph.D., master’s or equivalent experience in a relevant field (Computer Science, Machine Learning, etc.)
Very strong experience in Machine Learning, delivering complex solutions to production
Proven hands-on experience in data science and Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG)
Strong proven delivery track record
In-depth knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar
Proficiency in programming languages such as Python
Excellent problem-solving skills and the ability to think creatively
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Publications and contributions to the AI research community are a plus
Experience in high tech or financial industry is beneficial but not mandatory.

Job Responsibility

Hands-On Leadership: Lead by example and actively contribute to the development and delivery of generative AI solutions, driving innovation and excellence within the team
Monitoring Ongoing Research: Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field
Model Delivery to Production: Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks
Strategy Implementation: Execute the strategy for generative AI research and development, aligning it with the bank's overarching goals and objectives
Research and Development: Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques, including GANs, VAEs, and other relevant technologies
Cross-Functional Collaboration: Ability to collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services
Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation
Stakeholder Engagement: Work closely with business stakeholders across the bank to drive the adoption of generative AI and Large Language Models, identifying opportunities for innovation and value creation
Regulatory Compliance: Ensure that AI initiatives meet regulatory requirements while pushing the boundaries of technology innovation.

Fulltime

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

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

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

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

Senior Machine Learning Systems Engineer

Our team is building the foundations to democratise Machine Learning for Atlassi...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin)
Understanding and experience with Machine Learning project lifecycle and tools
Understanding of LLMs, best deployment practices and inference optimisation
Experience in building and implementing high-performance RESTful micro-services
Experience building and operating large scale distributed systems using Amazon Web Services (Sagemaker, S3, Cloud Formation, AWS Security and Networking)
Experience with Continuous Delivery and Continuous Integration

Job Responsibility

Build and scale the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines
Build systems for product teams like Jira & Confluence to provide access to curated LLMs
Use software development expertise to solve difficult problems, tackling infrastructure and architecture challenges
Lead engineers to drive involved projects from technical design to launch
Collaborate with other teams and internal customers to set expectations, gather input and communicate results

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Senior Data Scientist - Machine Learning

Atlassian

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 19, 2025

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