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Data Scientist

Data Analyst Senior Retail

Catalina Marketing France

Boulogne-Billancourt

Apply on the employer's site

Role description

Catalina Marketing France SAS; company affiliated with Catalina Marketing Corporation (*)
Pourquoi Catalina? Chez Catalina, nous comprenons que notre succès résulte du talent et de l'engagement de nos collaborateurs. Nos principes directeurs ouvrent la voie à la victoire sur les marchés que nous servons, et notre potentiel est puissant. En rejoignant l'équipe de Catalina, vous ferez partie d'un environnement inclusif qui favorise la flexibilité, l'engagement communautaire, l'équilibre vie professionnelle et personnelle ainsi que des opportunités de croissance professionnelle.

Ton rôle
Au sein de notre pôle Analytics, composé de 28 experts, tu rejoindras une équipe de 14 personnes dédiée à l’accompagnement des enseignes de la grande distribution en France, en Italie et au Royaume-Uni.

En tant que Data Analyst Senior en CDI, tu mettras ton expertise au service de problématiques marketing concrètes. Ton objectif : transformer des données complexes en analyses pertinentes, puis en recommandations claires et directement activables par nos équipes et nos clients.

Tes Missions Et Responsabilités :

  • Extraire, cibler, analyser et interpréter les résultats de campagnes de marketing direct.
  • Identifier des leviers d’optimisation et formuler des recommandations stratégiques à destination de nos clients.
  • Accompagner les équipes commerciales dans la compréhension des enjeux et des problématiques clients.
  • Présenter tes analyses et échanger directement avec les clients en apportant ton expertise Analytics.
  • Concevoir et réaliser des études statistiques : segmentations, scoring, algorithmes de machine learning et projets liés à l’IA.
  • Développer des solutions d’automatisation avec Python et des outils d’ordonnancement.
  • Créer des tableaux de bord clairs et performants, notamment avec Power BI.
  • Participer à des sessions de brainstorming avec les équipes Data Science et Analytics afin de faire évoluer nos méthodes et nos indicateurs.
  • Contribuer activement à la veille méthodologique et au partage des bonnes pratiques au sein du pôle.

Le profil que nous recherchons
De formation supérieure en statistiques, tu possèdes une expérience validée en tant que data analyst de 3 ans idéalement dans le domaine du marketing. Tu es à l’aise avec les bases de données à forte volumétrie et tu sais mener un projet analytique de bout en bout, de la compréhension du besoin jusqu’à la restitution des résultats.

  • Tu as une excellente maîtrise du langage SQL (Jointure, Agrégation, Condition, Modification...)
  • Tu as une parfaite connaissance de Python, l’utilisation dans un environnement Cloud est un plus (Azure, Snowflake, Databricks, etc.)
  • Tu maîtrises la programmation orientée objet
  • Tu maitrises les techniques statistiques appliquées au Marketing Direct : échantillonnage, mise en place de témoins, analyse des résultats, bonne connaissance des techniques de segmentations et de scoring.
  • La connaissance des outils de Data visualisation comme Power BI est un plus
  • Tu as déjà réalisé des projets de ML & AI.
  • Tu es capable de vulgariser votre discours auprès de vos interlocuteurs (équipe commerciale, équipe marketing, clients…)
  • Le poste est sur un périmètre Français, avec des interlocuteurs français.
  • Tu te débrouilles en anglais car Catalina Marketing reste une entreprise internationale

Notre processus de recrutement

  • Un premier échange avec l’équipe Recrutement.
  • Un test technique en ligne d’une heure.
  • Un entretien avec Kim, Responsable de compte Analytics.
  • Un entretien avec Johan, Head of Analytics Retail.

Les informations pratiques

  • Lieu : Boulogne-Billancourt, à proximité du métro Marcel Sembat.
  • Contrat : CDI.
  • Prise de poste : dès que possible, selon tes disponibilités.
  • Télétravail : jusqu’à trois jours par semaine après validation de la période d’essai.
  • Temps de repos : un RTT par mois.
  • Avantages : carte restaurant Swile, prise en charge des deux tiers de la mutuelle, avantages CSE et journée d’engagement associatif.
  • Vie d’équipe : team buildings, moments conviviaux, paniers de fruits et café à volonté.

Envie de transformer la donnée en décisions utiles pour de grandes enseignes françaises ? Rejoins-nous et échangeons sur ton prochain défi.
L'objectif de cette description de poste est de décrire les principales tâches et responsabilités de ce poste. D'autres tâches liées au poste, autres que celles spécifiquement mentionnées dans cette description, peuvent être requises.
Toutes les tâches et responsabilités sont des fonctions et des exigences essentielles du poste et sont susceptibles d'être modifiées à tout moment. Les tâches et responsabilités peuvent également être modifiées à la discrétion de l'entreprise pour accueillir des personnes en situation d’handicap.
Tous les candidats qualifiés seront pris en considération pour un emploi sans distinction de race, de couleur, de religion, de sexe, d'âge, d'orientation sexuelle, d'identité de genre, de nationalité, de statut de citoyenneté, de statut de vétéran protégé, d'informations génétiques ou de handicap physique ou mental.
À Propos de Nous
Catalina est un leader reconnu dans la connaissance shopper et les médias numériques et en magasin ciblés avec précision qui personnalisent le parcours des shoppers. Alimentée par une base de données shoppers en temps réel inégalée et une science des données optimisée par l'IA, Catalina aide les retailers, les marques de CPG et les agences à optimiser chaque étape de la planification, de l'exécution et de la mesure des médias pour obtenir des résultats pour nos clients. Catalina n'a pas de priorité plus élevée que d'assurer la confidentialité et la sécurité des données confiées à l'entreprise et de maintenir la confiance des consommateurs. Catalina est présente aux États-Unis, au Costa Rica et en Europe. Pour en savoir plus, veuillez visiter
www.catalina.com
ou suivez-nous sur
LinkedIn
.

Nous nous engageons à investir dans, à stimuler et à retenir une communauté inclusive au sein de notre entreprise. Nous sommes déterminés à embaucher les meilleurs talents, quels que soient leurs origines, expériences et perspectives. Nous croyons que la véritable innovation se produit lorsque tout le monde a une place à la table et une voix pour se faire entendre. Notre objectif est de garantir que tous nos talents disposent du soutien, des ressources et des opportunités nécessaires pour exceller.

Catalina valorise votre vie privée et s'engage à protéger vos informations personnelles. Veuillez consulter notre
politique de confidentialité
, qui fournit des détails sur la manière dont nous traitons les données que vous avez fournies pour les candidatures.

(*) Rien de ce document n'a pour but de déroger à la séparation corporative des entités locales. Les relations de travail discutées ici ne représentent pas nécessairement une relation de subordination, mais peuvent refléter une relation fonctionnelle de conseil, de tutelle ou de service. Catalina Marketing Corporation compte de nombreuses filiales, dont beaucoup portent des noms incluant Catalina ou Catalina Marketing. Par commodité et simplicité, ces termes et des termes comme corporation, entreprise, notre, nous et ses sont parfois utilisés comme des références abrégées à des filiales spécifiques ou à des groupes de filiales. Les références abrégées décrivant des organisations opérationnelles globales ou régionales et des lignes de produits globales ou régionales sont également parfois utilisées pour des raisons de commodité et de simplicité.

#catalinafrance

Catalina Marketing France SAS; a company affiliated with Catalina Marketing Corporation (*)
Why Catalina?
At Catalina, we understand that our success is driven by the talent and commitment of our people. Our guiding principles pave the way for success in the markets we serve, and our potential is powerful. By joining the Catalina team, you will become part of an inclusive environment that promotes flexibility, community involvement, work-life balance, and opportunities for professional growth.

Your role
Within our Analytics division, comprising 28 experts, you will join a 14-person team dedicated to supporting leading grocery retailers in France, Italy, and the United Kingdom.

As a permanent Senior Data Analyst, you will apply your expertise to real-world marketing challenges. Your goal: to transform complex data into relevant insights, and then into clear, actionable recommendations for our teams and clients.

Your Missions And Responsibilities:

  • Extract, target, analyze, and interpret the results of direct marketing campaigns.
  • Identify optimization opportunities and develop strategic recommendations for our clients.
  • Help Sales teams understand client challenges and business needs.
  • Present your analyses and engage directly with clients, providing your Analytics expertise.
  • Design and conduct statistical studies, including segmentation, scoring, machine-learning algorithms, and AI-related projects.
  • Develop automation solutions using Python and scheduling tools.
  • Create clear, high-performing dashboards, particularly with Power BI.
  • Participate in brainstorming sessions with the Data Science and Analytics teams to enhance our methods and KPIs.
  • Actively contribute to methodological research and the sharing of best practices within the division.

The profile we are looking for
You hold an advanced degree in Statistics and have at least three years of proven experience as a Data Analyst, ideally in marketing. You are comfortable working with high-volume databases and can manage an analytics project from end to end, from understanding the initial business need through to presenting the results.

  • You have excellent SQL skills, including joins, aggregations, conditions, and data modifications.
  • You have excellent Python skills; experience using Python in a cloud environment is a plus (Azure, Snowflake, Databricks, etc.).
  • You are proficient in object-oriented programming.
  • You have a strong command of statistical techniques applied to direct marketing, including sampling, control-group design, results analysis, segmentation, and scoring.
  • Familiarity with data-visualization tools such as Power BI is a plus.
  • You have already completed machine-learning and AI projects.
  • You can explain complex topics in clear, accessible language to a variety of stakeholders, including Sales teams, Marketing teams, and clients.
  • The role focuses on the French market and involves working with French-speaking stakeholders.
  • You can communicate in English, as Catalina Marketing is an international company.

Our recruitment process

  • An initial conversation with the Recruitment team.
  • A one-hour online technical assessment.
  • An interview with Kim, Analytics Account Manager.
  • An interview with Johan, Head of Retail Analytics.

Practical information

  • Location: Boulogne-Billancourt, near Marcel Sembat metro station.
  • Contract: Permanent contract.
  • Start date: As soon as possible, depending on your availability.
  • Remote working: Up to three days per week once your probationary period has been successfully completed.
  • Additional time off: One RTT day per month.
  • Benefits: Swile meal card, two-thirds of supplementary health-insurance costs covered by the company, employee social and cultural benefits, and one community-service day.
  • Team life: Team-building events, social gatherings, fruit baskets, and unlimited coffee

Ready to turn data into meaningful decisions for leading French retailers? Join us and let’s discuss your next challenge.
The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Other job-related tasks other than those specifically included in this description may be required.
All duties and responsibilities are essential job functions and requirements and are subject to possible modification at any time. Duties and responsibilities may further be modified at the company’s discretion to reasonably accommodate individuals with disabilities.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
About Catalina
Catalina is a leader in shopper intelligence and precisely targeted in-store, TV and digital media that personalizes the shopper journey. Powered by an unrivaled real-time shopper database and AI-optimized data science, Catalina helps retailers, CPG brands and agencies optimize every stage of media planning, execution and measurement to deliver more than $6 billion in consumer value annually. Catalina has no higher priority than ensuring the privacy and security of the data entrusted to the company and maintaining consumer trust. Catalina has operations in the United States, Costa Rica and Europe. To learn more, please visit
www.catalina.com
or follow us on
LinkedIn
.

We are committed to investing in, empowering, and retaining a more inclusive community within our company. We are dedicated to hiring the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and a voice to be heard. Our goal is to ensure that all our talented professionals are equipped with support, resources, and the opportunity to excel.

Catalina values your privacy and is committed to protecting your personal information. Please review our
privacy policy
, which provides details on how we process the data you provided for job applications.

(*) Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.  Catalina Marketing Corporation has numerous affiliates, many with names that include Catalina or Catalina Marketing. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity.

#catalinafrance

The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform other job-related tasks other than those specifically included in this description.

All duties and responsibilities are essential job functions and requirements and are subjected to possible modification to reasonably accommodate individuals with disabilities.

This position may be performed as a remote, work from home position.

About Catalina
Catalina is a recognized leader in highly targeted, personalized digital media that drives, tracks and measures sales lift for leading CPG retailers and brands. Powered by the most extensive shopper database in the world, Catalina's mobile, online and in-store networks personalize the consumer's path to purchase, delivering $7.9 billion in relevant consumer value each year. Catalina has no higher priority than ensuring the privacy and security of the data entrusted to us and maintaining the consumer trust paramount to the continued success of our business partners and Catalina. Based in St. Petersburg, FL, Catalina has operations in the United States, Costa Rica, and Europe. To learn more, please visit
www.catalina.com
or follow us on Twitter @Catalina.

Catalina is committed to investing in, empowering, and retaining an inclusive community within our company. We are dedicated to hiring the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and a voice to be heard. Our goal is to ensure that all our talented professionals are equipped with support, resources, and the opportunity to excel.

Catalina values your privacy and is committed to protecting your personal information. Please review our
privacy policy
, which provides details on how we process the data you provided for job applications.

We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.

Total Rewards & Compensation
Catalina offers a competitive total rewards package which includes a 401k with matching contributions; medical +Rx, vision, and dental coverage; tuition reimbursement, and a broad range of other benefits. Learn more at
My Catalina Benefits
Compensation for the role will depend on several factors, including a candidate’s qualifications, skills, competencies, and experience.

This compensation and benefits information is based on Catalina’s good faith estimate as of the date of publication and may be modified in the future.

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.

That is every opening in this category and country

Data Analyst Senior RetailCatalina Marketing France

Apply on the employer's site