Senior Data Scientist

Senior Forward-Deployed Data Scientist, AI Deployment

Join our Field Data Scientist group of creative technical experts who partner wi...

Location

United States , New York City

Salary:

145800.00 - 2178000.00 USD / Year

Braze

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
Master’s or PhD in a relevant technical discipline preferred
3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
Experience in customer-facing or consulting roles is strongly preferred
Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
You write well-structured, modular, documented code
follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
and can build scalable, maintainable solutions

Job Responsibility

Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise
Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

What we offer

Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze

Fulltime

Senior Data Scientist, Rides Safety

You'll own Bolt's Safety automation and prediction systems end-to-end and direct...

Location

Estonia , Tallinn; Tartu

Salary:

Not provided

Bolt

Expiration Date

Until further notice

Requirements

Strong ownership mindset and comfort working autonomously from problem research to model deployment
3+ years of experience in machine learning for automated decision making
Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
Mastery in Python and SQL
Skilled at communication with cross-functional stakeholders

Job Responsibility

Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems)
Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs
Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience)
Lead the data science and ML-first approach to safety and risk management in the company
Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions

What we offer

relocation and visa support

Senior Machine Learning Systems Engineer

Our organization drives AI innovation across Jira products. We deliver seamless ...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Extensive experience building Machine Learning and AI solutions (4+ years)
Proven experience developing, deploying, and maintaining end-to-end ML systems, including data engineering, model serving, and monitoring
Expert proficiency with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems
Expert proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX
Experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models

Job Responsibility

Collaborate with software engineers, data scientists, and product managers to solve complex problems
Lead projects from technical design through launch
Partner with teams to achieve impactful results
Deliver robust ML solutions to build AI features reaching millions
This includes curating ML datasets, fine-tuning open-source LLMs, or accessing proprietary LLMs
Mentor junior members of the team

What we offer

Health and wellbeing resources
Paid volunteer days

Senior Principal Machine Learning Engineer

You’ll form a new team of passionate engineers dedicated to building and scaling...

Location

United States

Salary:

222300.00 - 348975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience
12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems
Deep expertise in Python, Go, or Java, with the ability to write performant, production-quality code
familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks)
Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains
Strong communication skills, able to explain complex ML concepts to diverse audiences and influence stakeholders
Demonstrated ability to solve ambiguous, complex problems and drive projects from ideation to production
Agile development mindset, with a focus on iterative improvement and business impact

Job Responsibility

Lead AI/ML Strategy for Trust: Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety)
Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring compliance with privacy and regulatory requirements
AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with evolving regulatory frameworks
Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture
Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges
Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products and workflows
Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services

What we offer

health and wellbeing resources
paid volunteer days
benefits, bonuses, commissions, and equity

Fulltime

Senior Computer Vision and Machine Learning Research Scientist

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. ...

Location

United States , Seattle

Salary:

159750.00 - 234300.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields
Proven track record of research in machine learning, computer vision or related fields
Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale
Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Job Responsibility

Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow
Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection
Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data
Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings
Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products
Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community
Coach and mentor junior scientists

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

At Zenjob, you’ll work on data products that actually ship and shape how thousan...

Location

Germany , Berlin

Salary:

Not provided

FoodLabs & Atlantic Labs

Expiration Date

Until further notice

Requirements

4+ years of applied Data Science experience, ideally in marketplaces or other matching-heavy environments
A curious, proactive, impact-driven mindset with strong business acumen
Enjoy working in environments where things move fast, priorities evolve, and iteration happens quickly
Solid ML expertise in scoring, ranking, and optimization techniques used in matching and allocation systems
Experience building forecasting models using time-series and probabilistic approaches
Strong experimentation skills, including A/B testing and quasi-experimental methods, with the ability to interpret results clearly
Proficiency in SQL and Python with the ability to move from exploration to production
Clear communication and strong product thinking, able to influence decisions and define success metrics

Job Responsibility

Shape product decisions: Data should guide decisions from the start. You will proactively explore our data to identify product opportunities, inefficiencies, and growth levers. You’ll translate complex findings into actionable insights that help PMs and business leaders prioritize what truly matters
Forecast marketplace dynamics: Strong forecasting prevents shortages and overbooking. You will model supply and demand patterns using robust time-series and probabilistic methods that support planning and operational decisions
Improve matching efficiency: Better matching means higher fill rates, happier customers, and less manual work. You will build and refine ranking and allocation models so the right talent reaches the right job quickly and reliably, whether through ML or other data-driven methods
Experiment with confidence: Good experiments beat guesses. You will design and run end-to-end experiments using methods suited for a two-sided marketplace (A/B, quasi-experimental approaches, switchbacks, holdouts) and interpret results with clarity
Ship models that matter: Models only matter when users benefit from them. You will own the process of turning analyses or models into production, working with engineering on monitoring, fallback strategies, and safe rollouts

What we offer

28 days of paid vacation (increased by 1 day for every 2 calendar years of service with us, up to a maximum of 30 days)
1 day of special leave for community service
5 days of paid educational leave
Possibility of unpaid leave
Hybrid working model
Dog-friendly office
Annual training budget of EUR 750
Mentoring opportunities
Constant career development conversations
30 EUR Urban Sports Club grant per month

Senior Data Scientist

We’re looking for a Senior Data Scientist to lead the evolution of our scoring a...

Location

Australia , Sydney; Melbourne; Brisbane; Hobart

Salary:

Not provided

UpGuard

Expiration Date

Until further notice

Requirements

5+ years of experience applying quantitative methods, ideally within a high-growth company, with practical exposure to risk modelling and uncertainty analysis
Advanced analytics expertise: Proven track record in building complex statistical or actuarial models (e.g., 5+ years of experience in data science, AI, actuarial science, or similar)
AI/ML proficiency: Hands-on experience implementing machine learning approaches (regression, classification, ensemble methods, NLP, deep learning, etc.) in real-world applications
Strong statistical foundations: Deep understanding of regression analysis, probability theory, and inferential statistics to accurately model risk
Engineering background: Comfortable working with Go, Python and relational and columnar databases (we use Postgres and BigQuery)
Collaborative mindset: Excellent communication and stakeholder management skills to align with product managers, engineers, and other cross-functional teams
Leadership and ownership: Ability to define a vision, set clear objectives, and drive results in a fast-paced, dynamic environment

Job Responsibility

Own the design, evolution, and validation of UpGuard’s scoring algorithms across all surfaces - Vendor, Attack Surface, Breach, and User Risk
Develop statistical and ML models that translate raw security data into meaningful, calibrated scores
Measure and improve score accuracy, stability, and interpretability
Work with engineers to deploy and monitor models in production environments
Partner with PMs and designers to define success metrics and measure product outcomes
Conduct in-depth analyses of adoption, engagement, and retention to guide roadmap priorities
Build reusable datasets, dashboards, and frameworks for self-serve analytics
Establish best practices for experimentation and data-driven decision making across squads
Collaborate with squads building AI-powered features, from automated vendor assessments to breach intelligence and risk summarization
Prototype and evaluate new AI/ML techniques (including LLMs, embeddings, and anomaly detection)

What we offer

Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
$1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries
18 weeks paid Parental Leave: Irrespective of parenting role
Personal Leave Allowance: This includes sick & carer’s leave
Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
Top-spec hardware: All team members will be provided with top-spec laptops for their role
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work

Fulltime

Senior Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...

Location

United Kingdom , London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Broad applied machine learning knowledge
3-5 years applied ML experience
Practical stats knowledge (experiment design, dealing with confounding etc)
Intermediate programming skills
Strong communication skills, both within engineering teams and across disciplines
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills

Job Responsibility

Identify areas where ML can create value for our customers
Identify the right ML framing of product problems
Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research
Deeply understand the problem area
Research and identify the right algorithms and tools
Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
Relocation support for those moving to our offices

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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