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Data Scientist

Product Operations Manager

Diligent

Budapest

Apply on the employer's site

Role description

Here's a Summary Of The Role
Data is only powerful when everyone agrees what it means. This is your chance to build a world class product behavioural data system and process from the ground up.

We're rebuilding the internal product our teams use to measure product success and end-user value across all our 24+ products in four business units.

You'll design the single source of truth: the metric definitions, the telemetry standards, the data contract engineering instruments against, the change governance processes and tooling, and the models that turn behaviour into portfolio insight.

You'll educate and support the teams using this internal behavioural data product to set expectations and and plot a rational roadmap for the maturing of this product, helping our user to use the data honestly and wisely.

Usage tells you what happened, not why, or whether it mattered. We want someone who sets quantitative behaviour against qualitative evidence and treats the disagreement as the interesting part.

AWS/Snowflake is our spine; capture and BI are open decisions you'll help make. Your models feed the business reviews our executive team, CTO and investors use to run the portfolio, and engineering is committed to instrument against your contract.

Here's What Your First Twelve Months Should Look Like

  • First 90 days. Learn the estate, meet the engineers who instrument it, and agree the measurement model for one product end to end — with a defensible adoption number and the qualitative read on what it means.
  • Three to six months. Data contract published, instrumentation spec landed with engineering, first business unit building against it. Definitions, naming and versioned change control governed.
  • Six to twelve months. Rolling out across the remaining business units through the BU-aligned analysts, portfolio reporting running on your numbers.

Here's a breakdown of what you'll do (not all of it, just the important stuff)

  • Design the behavioural telemetry — event and entity-state schemas at a grain that supports both portfolio roll-up and feature-level decisions — and write the instrumentation specification engineering builds against. Then assure what comes back: coverage, freshness, reconciliation.
  • Own the measurement standard — canonical definitions, naming, field ownership, versioned change control — across every business unit.
  • Build the models — SQL, BI and roll-up logic turning behaviour into insight on adoption, time-to-value and value realisation.
  • Triangulate. Pair behavioural data with qualitative evidence from design research and VoC, segment by user role and account, and say so publicly when the two disagree.
  • Partner on the product, customer and user taxonomies, set the technical standard for the BU-aligned analysts, and help shape the analytics stack as we revamp it.

These are the essentials you'll need to get an interview

  • Direct experience building mixed-method behavioural insight systems — you've built the layer where quantitative behaviour and qualitative evidence come together, not just consumed the output. You've worked alongside design or UX researchers, and can name a time the qualitative read changed what you measured.
  • Hands-on event and telemetry schema design — Pendo, Amplitude, Segment, Mixpanel or equivalent. You designed the schema and wrote the spec, not used dashboards someone else built.
  • Designing and governing product data models and taxonomies — canonical metrics and naming taken into a multi-product estate and made to stick, including acquired products.
  • Data governance practice: schema and field ownership, versioned change control, standards adoption across teams you don't own.
  • Fluency in SQL and the BI / warehouse layer — you build and validate roll-up logic yourself.
  • Behavioural segmentation judgement — you know why a B2B account is a mix of people with different motivations, and why averaging them produces confident, wrong conclusions.
  • The credibility to influence without authority — you can hold a standard with teams you don't line-manage.

It would be great if you had these too, but we'll support you if you don't

  • Hands-on behavioural analytics and synthesis practice — running the analysis yourself, not only building what enables it.
  • Privacy and lawful basis as live design constraints — pseudonymisation, residency, re-identification controls.
  • GRC, governance or regulated-software domains.
  • Salesforce, Jira Product Discovery, Pendo, and consolidating fragmented tooling into one system of record.
  • Product value / ROI measurement — connecting behaviour to commercial outcomes.

How We'll Assess This
We ask everyone to write SQL and design an event schema, and to talk us through a time qualitative evidence contradicted their numbers. No take-home longer than an hour.

Here's where this role goes next
We're building this function, not maintaining it. You set the standard the BU-aligned analysts land across the business — technical leadership from day one, without a management line.

As the team grows around you — a data scientist, a behavioural researcher, an ML engineer — the routes are principal-level ownership of product behavioural data across Diligent, or leading the team that runs it. We'd rather be straight with you than promise a title we cannot yet name. The scope is real, and it is expanding.

About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.

At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact.

Learn more at diligent.com or follow us on LinkedIn and Facebook

What Diligent Offers You

  • Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
  • We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
  • We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
  • Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.

Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney.  To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to
work onsite at least 50% of the time.
We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.

Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and US EEOC’s Know Your Rights. We are a drug free workplace.

We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.

To support a fair and consistent hiring process, we use AI and digital automated tools to assist our recruitment team in organizing candidate data, surfacing relevant applications, coordinating interview scheduling and summarizing interview notes. All final screening, evaluation, and hiring decisions are made by humans on our team. To learn more about how we collect, protect, and process your information, please review our Candidate Privacy Policy.

At Diligent, we recognize the value of a diverse global workforce. Visa sponsorship may be available for select positions based on business needs and specific role requirements. Sponsorship decisions are evaluated on a case-by-case basis, and eligibility should not be assumed for all opportunities.

Recruitment agencies:
Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Data Scientist

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

Zenjob

Remotefulltime

Apply on the employer's site

Role description

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.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Scientist

Senior Machine Learning Engineer, Learner Modeling

Portfolium (Acquired by Instructure)

Remotefulltime

Apply on the employer's site

Role description

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.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Scientist

Senior Data Scientist

Circana

Remotefulltime

Apply on the employer's site

Role description

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

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Product Operations ManagerDiligent

Apply on the employer's site
Product Operations Manager — Diligent | mentors.coach