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Data Scientist

Senior Data Scientist, Growth Alliance

HelloFresh

Warsaw

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Описание вакансии

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box
The Communications tribe, a key part of the Growth Alliance, enables our brands to deliver highly personalized, meaningful interactions with our users across global markets. As a Senior Data Scientist within this team, you will drive a direct business impact by shaping the intelligence behind how, when, and what we communicate with our customers.

Your Work Will Primarily Focus On Three Core Initiatives

  • Send Decisioning: Designing and scaling AI agents, specifically using contextual bandits, to optimize our communication channels (email, SMS, and push notifications). Your models will automate the logic that determines the most relevant message and timing for each individual user.
  • Intelligent Funnel: Supporting a collaborative, cross-tribe initiative aimed at personalizing the post-click experience. You will leverage contextual bandits to match user ad-context and pre-questionnaire preferences with the optimal landing page journey.
  • AI-Assisted Content & Search: Building intelligent systems to index and search internal marketing assets (images and copy). Additionally, you will develop tools that assist marketing teams in the automated composition of new, high-performing communication assets.

To succeed in this project, you should be a pragmatic and curious problem solver who excels in a cross-functional environment. Success involves translating complex user behavior into scalable models, identifying opportunities to improve our data foundations, and balancing technical depth with a strong focus on driving user engagement.

At HelloTech, flexibility and cross-functional collaboration are core to how we work. While this role is aligned to a specific Alliance, strong candidates may also be considered for opportunities across different teams or projects.

What you’ll do: The Recipe

  • Build, own, and iterate on RL and ML models that run in production behind high-traffic, performance-critical conversion and communication flows.
  • Develop the decisioning logic that determines the best next action for each user across the funnel and the messaging lifecycle.
  • Drive the architectural evolution of our contextual-bandit systems — from online exploration (Bootstrapped Thompson Sampling) toward offline policy evaluation and deterministic, low-latency inference (Counterfactual Risk Minimization, Offset Trees, model distillation).
  • Partner with Engineering on system design so models integrate cleanly into the funnel and messaging architecture — including where models decide, how decisions are served at latency, and how failures are handled and rolled back.
  • Own experimentation design for decisioning models: define success metrics and guardrails, and interpret results in high-noise, high-traffic environments using rigorous methods (sequential testing / SPRT, propensity handling, allocation-bias-free setups).
  • Keep models safe and effective in production — monitoring performance, input-data reliability, drift, and latency, and iterating quickly when issues surface.
  • Collaborate with CRM Ops agent leads, Marketing Analytics, and platform partners to turn model behaviuor into decisions marketers trust.

What you’ll bring: The Ingredients

  • 5+ years of professional experience in data science, ML, or a related quantitative field, with a track record of shipping models to production.
  • Proficient in Python and experienced operating in a modern ML stack (e.g. Databricks/Spark, MLflow) in close collaboration with engineers.
  • Strong foundation in machine learning for personalization, plus direct experience with reinforcement learning and/or contextual bandits (e.g. Thompson Sampling, epsilon-greedy, reward design).
  • Solid grounding in experimentation and causal inference — designing and analyzing controlled experiments in high-traffic settings, and reasoning about guardrails, exposure, and bias.
  • Hands-on with classical ML techniques (regression, classification, clustering, recommendation systems) and comfort choosing the right tool for the problem.
  • Experience with customer-behaviour data, segmentation, and production feature pipelines.
  • Clear, structured communication and a genuinely collaborative, cross-functional mindset.

Nice To Have

  • Off-policy evaluation/counterfactual learning, propensity methods, or sequential testing (SPRT).
  • Experience with experimentation platforms (e.g. Statsig) and streaming/low-latency inference.
  • Working with unstructured data as model features (embeddings, text signals).
  • Exposure to marketing/CRM decisioning, deliverability, or funnel/conversion optimisation.

Above all, we are looking for individuals who will
make HelloFresh better.
We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

  • Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
  • Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
  • Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
  • End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
  • Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

#data

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Data Scientist

Head of Analytics and Data Science (f/m/d)

Zenjob

Удалённоfulltime

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Описание вакансии

About us

Zenjob is an AI-powered flexible staffing platform that has efficiently connected companies and temporary workers since 2015. Companies use our platform to book ready-to-work staff in real time, while students use our app to find part-time jobs that conveniently fit around their studies. Over 40,000 students and 1,000 partner companies from logistics, retail, and hospitality in all major German cities share our belief that good work is not a coincidence. It is the result of innovative technology and genuine commitment. Good work starts here.

The role

Data is at the core of Zenjob’s marketplace, and we’re looking for a collaborative, forward-thinking Head of Analytics & Data Science to guide our next chapter. In this role, you will lead and mature our data and analytics function, helping the team unlock actionable insights and scale their impact across the company. You will help us integrate Artificial Intelligence further into our everyday work—both in how we optimize our platform and how we improve our internal workflows. If you are a pragmatic leader who loves mentoring developing talent, solving marketplace puzzles, and exploring practical AI applications, we’d love to meet you.

What you'll do

  • Nurture and Grow the Team:
    Coach and develop our team of Data Scientists and Analysts. You will foster a healthy, collaborative culture rooted in continuous learning, best practices, and practical business impact.
  • Integrate AI into Everyday Work:
    Guide the team in adopting modern AI tools and methodologies to improve our daily workflows, while helping identify smart opportunities to leverage AI.
  • Drive Pragmatic Execution:
    Manage the roadmap for data initiatives. You will keep a steady delivery pace, ensuring the team's output translates into clear, measurable value for Zenjob.
  • Collaborate Across Teams:
    Partner closely with Data, Engineering and Business stakeholders to ensure we are building a collaborative, reliable, and accessible data ecosystem.
  • Focus on What Matters:
    Help the team prioritize high-impact initiatives, ensuring we are solving mission-critical business problems rather than getting lost in the noise.

What you bring

  • Team Leadership Experience:
    A proven track record of managing and developing data professionals (analysts and/or data scientists) in a fast-paced environment.
  • An Open Mind Toward AI:
    Curiosity and practical experience with modern AI tools, with a clear view of how to use them to automate workflows and enhance analytical capabilities.
  • Marketplace Intuition:
    Prior experience or a deep understanding of two-sided marketplace dynamics (supply, demand, and matching optimization) is highly valued.
  • Strong Business Translation:
    The ability to bridge the gap between technical data work and business reality, turning complex analysis into simple, actionable insights for stakeholders.
  • Solid Technical Foundations:
    A strong background in data modeling, analytical methodologies, and experimentation, combined with a highly pragmatic approach to problem-solving.
  • Great Communication Skills:
    An empathetic communication style that allows you to influence stakeholders, build trust, and bring people along on the data journey.

What we offer

  • Innovative mission:
    Together we create something new. Work in a dynamic set-up where you learn a lot and your every idea is heard.
  • Unique team spirit
    : We can rely on each other blindly and celebrate all successes together as a team.
  • Vacation
    : Recreation and further education is important, which is why 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, and the possibility of unpaid leave
  • Hybrid working model
    : We love our brand new office in Prenzlauer Berg. But sometimes you need a little more flexibility. Zenjob’s flexible working model combines the best of both worlds, so you can work remotely up to 2 days / week (1 day, during the first 6 months, so we can guarantee you the best onboarding).
  • Dog-lover
    : If you have a dog, feel free to bring it with you. We don’t bite and always have a bowl of water in our range of drinks
  • Personal growth
    : Ongoing focus on your personal development (annual training budget of EUR 1000, mentoring opportunities, constant career development conversations)
  • Healthy mind in a healthy body:
    With us you will receive a 30 EUR Urban Sports Club grant to keep you fit. In addition, we have a small sports room in the office ourselves.
  • Always mobile:
    You will receive EUR 40 credit per month for NAVIT, a sustainable mobility tool for public transport, bike sharing and much more.
  • Legendary Events:
    Quarterly team events, winter and summer parties, budget for birthdays and anniversaries of our employees

If this sounds good, then we’d love to find out more about you! Apply and send in your application.

🎥 Watch our Office Tour video.

We invite you to visit our careers page, follow our LinkedIn page and connect with us on Instagram.

We are proud to be an equal opportunity employer. We are committed to judging every qualified individual on their ability, regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. There is no need to add your photo and age to the application.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Scientist

Senior Machine Learning Engineer, Learner Modeling

Portfolium (Acquired by Instructure)

Удалённоfulltime

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Описание вакансии

At Instructure
, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.

We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

Our AI team is where a lot of that gets built: applying advanced AI to real problems in learning, and turning research into product capabilities that educators and students use every day.

We're looking for a Senior Machine Learning Engineer to build and own the learner models behind our mastery and progression capabilities. You'll design the models, build the pipelines that train and score them, and own their quality once they're running in production.

You'll partner with our learning scientists on what these models should measure, and with our infrastructure team on deployment and operations.

What You'll Do

  • Design and build learner models, including knowledge tracing and longitudinal approaches, that power mastery and progression features surfaced to learners and educators
  • Shape the data foundation for learner modeling: define which signals matter, and build the datasets your models depend on
  • Translate mastery and progression definitions into model targets and evaluation criteria, working with learning scientists and product partners
  • Build estimation and scoring approaches that hold up on sparse, noisy, and evolving behavioral data
  • Own your models in production: training and scoring pipelines, testing, versioning, and monitoring quality once they're live
  • Explain model behavior, assumptions, and limitations clearly to product, engineering, and learning partners

What You'll Need

  • Six or more years in applied machine learning, machine learning engineering, or applied research, with ownership of models shipped into real products
  • Depth in at least one of: sequence modeling, latent-variable or probabilistic modeling, temporal modeling, Bayesian methods, or calibration of model outputs, applied to data that changes over time
  • Strong Python and production engineering skills: you write the pipelines that train and score your models, and you've shipped models that run on a schedule and serve predictions to real users
  • Strong evaluation instincts around calibration, uncertainty, stability, fairness, interpretability, and validation strategy

It Would Be a Bonus If You Had

  • Experience with recommender systems, user-state modeling, or personalization at scale
  • Experience with knowledge tracing, psychometrics, educational measurement, or adaptive learning systems
  • Experience combining structured knowledge representations, such as skills, standards, or concept graphs, with learner models
  • Experience designing experiments or observational validation strategies to test whether a model reflects reality

Onsite Collaboration Requirement:
This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of our company’s in-person collaboration model.

Why Join Us

Join us and help shape the future of education by turning cutting-edge AI into reliable product capabilities.

At Instructure, we're on a mission to help educators and students learn together, anytime, anywhere, and however works best. You'll join our research-driven team tackling education's biggest challenges with cutting-edge technology.

We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you'll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth.

Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
  • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
  • Comprehensive wellness programs and mental health support
  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
  • The technology and tools you need to do your best work
  • Motivosity employee recognition program
  • A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Scientist

Senior Data Scientist

Circana

Удалённоfulltime

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Описание вакансии

Let’s be unstoppable together!
Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth—powered by six decades of expertise and an expansive, high-quality data set.

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives.  We’re a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings. By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work.  Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana. Learn more at www.circana.com.

Role Overview
This position sits within the Media Data Scientist Team and focuses on product Development. The key objective is to develop data science code, supporting Circana’s Media & Product Innovation practices. You will support data science aspects of the end to end media product development cycle. This includes exploratory data analysis, developing and implementing the end-to-end modeling platform, statistical methodology development and empirical experiment design. You will also work with big databases from different sources and assemble them into analysis and insights exploration ready format.

Job Responsibilities

  • Apply and design best-in-class methodologies and statistical algorithms to answer business questions.
  • Build and maintain modeling engines for Circana analytics platforms using various tools, such as Python, SQL, Spark, etc.
  • Utilize advanced computations/statistics and machine learning/AI methodologies.
  • Partner with cross-functional teams (e.g., Technology, Product, Commercial, etc.) to build analytical solutions for some of the largest retailers and manufacturers in the world, utilizing granular data at scale.
  • Work directly with clients including the top advertising platforms to gather detailed requirements and communicate results.
  • Document and present methodologies and research findings to internal and external stakeholders
  • Manage and mentor junior data scientists, guide them in problem-solving and help them develop their technical skills.

Requirements

  • Postgraduate degree in Statistics, Econometrics or related quantitative field; Masters or PhD preferred
  • 6+ years’ experience of Python/R development. Strong proficiency for statistical analysis, data visualization, and statistical modeling. Familiarity with packages like Pandas, NumPy, Matplotlib in Python, dplyr, ggplot2, tidyr in R.
  • SQL: Ability to write complex queries, perform joins, aggregations, subqueries, window functions, and optimize queries for performance.
  • Data extraction and manipulation: Skill in retrieving and integrating data from multiple sources and formats.
  • Deep understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing (t-tests, ANOVA, chi-squared), regression analysis (linear, logistic), time series analysis, A/B testing.
  • Solid understanding of various Machine Learning and AI algorithms
  • Able to build and convey impactful insights drawing from multiple data sources. Skilled at explaining technical subject matter to non-technical audiences.
  • Nice to have: Previous experience in Marketing Mix Modeling and other Media measurement techniques.

Circana Behaviors
Beyond technical skills, experience, and role-specific attributes, these shared behaviors are fundamental to our culture and success. We seek individuals who consistently demonstrate and champion these behaviors in their daily work:

  • Stay Curious: Being hungry to learn and grow, always asking the big questions.
  • Seek Clarity: Embracing complexity to create clarity and inspire action.
  • Own the Outcome: Being accountable for decisions and taking ownership of our choices.
  • Center on the Client: Relentlessly adding value for our customers.
  • Be a Challenger: Never complacent, always striving for continuous improvement.
  • Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
  • Commit to each other: Contributing to making Circana a great place to work for everyone.

Location:
This position can be located in the following area(s): Remote, Greece

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Это все вакансии по этой категории в этой стране

Senior Data Scientist, Growth AllianceHelloFresh

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