Lingokids logo
Lingokids

Helping families around the world raise amazing kids.

Data Scientist – Applied ML, Recommendations

Data ScientistData ScientistFull TimeRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

Spain

Posted

51 days ago

Salary

0

Seniority

Senior

Job Description

Data Scientist – Applied ML, Recommendations

Lingokids

• Own the production recommendation infrastructure: maintain and improve the systems that serve personalized content to millions of users, ensuring reliability, low latency, and scalability as the catalog and user base grow. • Research and prototype advanced recommendation algorithms: explore newer approaches - deep learning-based models, contextual bandits, session-based recommendations, graph-based methods - evaluate their potential, and run controlled experiments to validate uplift before production. • Produce ML models and pipelines: take prototypes (from yourself or from the team's Data Scientist) and turn them into production-grade, monitored, maintainable features integrated into the live recommendation engine. • Design scalable infrastructure: anticipate bottlenecks and design systems that can handle larger catalogs, more complex segmentations, and higher traffic - including serving layer optimization, caching strategies, and pipeline orchestration. • Build and maintain data pipelines in DBT and Databricks, ensuring clean transformations, data quality, and robust experimentation frameworks that the team can rely on. • Monitor model health in production: define retraining strategies, detect drift, and ensure recommendation quality is measured and maintained over time. • Collaborate closely with the Data Scientist and Senior Analyst to translate statistical insights and business requirements into engineering decisions.

Job Requirements

  • Python for ML and infrastructure: strong Python skills applied to model training, evaluation, deployment, and pipeline scripting. Writes production-quality, testable, version-controlled code - not just notebooks.
  • SQL and DBT: solid SQL and hands-on DBT experience to build and maintain reliable transformation pipelines with clear data lineage and quality controls.
  • ML production on AWS: hands-on experience deploying and monitoring ML models using AWS services (SageMaker, Lambda, ECS, Step Functions). Understands model drift, monitoring strategies, and retraining triggers.
  • Batch ML model training and evaluation pipelines: design, build, and maintain scalable machine learning training and evaluation pipelines that support recommendation systems and related personalization use cases. This includes developing robust, well-monitored workflows for model development, deployment, and continuous improvement, while contributing to the evolution of the recommendation infrastructure toward more adaptive and responsive systems over time.
  • Advanced ML algorithms: familiarity with recommendation techniques beyond collaborative filtering - e.g. neural approaches (two-tower models, transformers for sequences), contextual bandits, learning-to-rank. Knows how to evaluate and compare them rigorously.
  • Orchestration and CI/CD: experience with orchestration tools (Airflow, Prefect, or Dagster) for reliable, observable pipelines, and comfort with Git and CI/CD workflows for ML systems.
  • Scalability and system design mindset: can anticipate infrastructure bottlenecks, reason through architecture trade-offs (batch vs. streaming, horizontal vs. vertical scaling), and connect engineering decisions to business outcomes.
  • Nice to have: Experience with real-time or low-latency serving layers (Redis, DynamoDB or equivalent) - the system is currently batch, but session-level adaptation is a future direction.
  • Experience with experimentation frameworks for ML systems, including online evaluation of recommendation algorithms (A/B tests, interleaving, counterfactual evaluation).
  • Knowledge of modern data stack tools (Snowflake, BigQuery, Fivetran).
  • Exposure to knowledge graph or content graph approaches for content-aware recommendation.
  • Interest in balancing data-driven optimization with pedagogical or brand-driven constraints (e.g. content diversity goals, curated onboarding, character injection).
  • English is a must: We’re a multicultural team providing a service in English, so while certifications aren’t necessary, fluency is essential. As a fully remote company, clear and effective spoken and written communication, especially in asynchronous and long-form formats, is key to collaborating successfully.

Benefits

  • Career Growth: Your growth drives our success! We invest in your development up to €2,000 per year for books and training; so you can keep learning and growing with us.
  • Remote-Friendly: Work from where you’re most productive, home or our offices in Madrid, anywhere within a 2-hour difference from Spain (GMT+1). The choice is yours!
  • Stock Options: Your contribution matters! You'll receive stock options, giving you the opportunity to own part of the company and share in its success.
  • Home Office Setup: Create your ideal workspace with a €400 allowance for setup and €35/month for remote work expenses, because comfort fuels creativity!
  • Meal Allowances: Get €60/month on your Cobee card to enjoy meals at restaurants or food delivery, good food makes everything better!
  • Flexible Compensation: Manage your meal, transport and childcare expenses easily with Cobee, integrating them directly into your payroll.
  • Health Insurance: Access private health coverage at exclusive rates through Adeslas, seamlessly deducted from your payroll, quality care made simple.
  • Language Lessons: Learning never stops! Enjoy free language classes in Spanish and English, to sharpen your skills and stay connected in a global team.
  • Visa Sponsorship: If you need a visa to work in the EU, we’ll handle the process and cover the costs to make your transition seamless.
  • Company events: Yes! We’re a fully remote team spread across different countries, but we love getting together from time to time in different corners of Spain, for team gatherings and recharging at our amazing off-sites!

Related Categories

Related Job Pages

More Data Scientist Jobs

Full TimeRemoteTeam 10,001+Since 1904H1B No Sponsor

The Opportunity: Profil poszukiwanej osoby Avantor poszukuje osoby do zespołu Global Payroll, odpowiedzialnej za wsparcie w zapewnianiu terminowej, zgodnej i precyzyjnej obsługi procesów płacowych na rynkach europejskich. Stanowisko przeznaczone jest dla osób zainteresowanych pracą z danymi, dokładnością i doskonaleniem procesów w środowisku międzynarodowym. Wymagania - Minimum 3 lata doświadczenia w obszarze europejskich procesów płacowych. - Doświadczenie we współpracy z zewnętrznymi dostawcami usług płacowych (np. ADP, Safeguard). - Umiejętność analizy danych płacowych oraz pracy z dużymi zestawami danych. - Bardzo dobra organizacja pracy, wysoka dbałość o szczegóły oraz samodzielność. - Rozwinięte kompetencje interpersonalne oraz nastawienie na współpracę. - Znajomość języka angielskiego na poziomie minimum C1 (w mowie i piśmie). - Zaawansowana znajomość programu Excel. Mile widziane: - Certyfikacja z zakresu payroll lub międzynarodowych procesów płacowych. - Doświadczenie w pracy z Workday, w tym z integracjami PECI. - Znajomość dodatkowych języków obcych. - Umiejętność funkcjonowania w dynamicznym środowisku i przy zmieniających się priorytetach. Zakres obowiązków - Zapewnianie terminowej i prawidłowej realizacji listy płac zgodnie z lokalnymi regulacjami oraz polityką Avantor. - Weryfikowanie wyników procesów płacowych, w tym raportów „gross-to-net”, analiz odchyleń, plików płatniczych oraz deklaracji ustawowych. - Przygotowywanie i uzgadnianie zapisów księgowych w ramach miesięcznych zamknięć oraz współpraca z działem finansów. - Realizowanie płatności pozacyklicznych, takich jak wypłaty końcowe, premie czy prowizje. - Obsługa zapytań dotyczących obszaru płac od pracowników, zespołów HR, przełożonych oraz instytucji zewnętrznych. - Monitorowanie zmian w lokalnych przepisach oraz współpraca z dostawcami usług payrollowych w zakresie zapewniania zgodności. - Przygotowywanie cyklicznych raportów płacowych (miesięcznych, kwartalnych, rocznych). - Utrzymywanie aktualnej dokumentacji procesowej. - Wsparcie podczas audytów wewnętrznych i zewnętrznych. - Zapewnianie poufności przetwarzanych danych oraz zgodności z politykami ochrony informacji. Co oferujemy - Umowa o pracę - Kartę Medicover Sport oraz pakiet medyczny Lux Med — z możliwością objęcia członków rodziny. - Ubezpieczenie grupowe na atrakcyjnych warunkach. - Świadczenia z Funduszu Socjalnego. - Program poleceń pracowniczych (nagroda po zakończeniu okresu próbnego osoby poleconej). - Bezpłatny dostęp do kawomatów i bufetu do określonego miesięcznego limitu. - Bezpłatny parking i dogodne połączenia komunikacją miejską. - Możliwość rozwoju zawodowego w globalnych strukturach Avantor oraz udział w projektach o międzynarodowym zasięgu. #LI-Remote Disclaimer: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Privacy Policy: We will use the personal information that you have submitted to us in order to consider your application for the relevant role. Your privacy is important to us. Please click here for our Privacy Policy which explains the purposes for which we will use your personal information and the ways in which we will handle and retain your information. It also explains the rights you have in relation to your information, and how to contact us with any queries or requests. 3rd Party Non-Solicitation Policy: By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation.

Myanmar
Elsevier logo

Senior Data Scientist II

Elsevier

To benefit humanity, Elsevier helps professionals and institutions advance healthcare, improve performance, and progress science. Elsevier employs approximately 7,500 people and se

Data Scientist51 days ago

The Scientific Curation Team at SciBite-Elsevier is fundamental to our Software Solutions. The team manages high quality ontologies and produces curated vocabularies which feed into our technology stack. We also work with teams across Elsevier to deliver training, content and innovative solutions to our customers to support their Scientific discoveries. As a SciBite-Elsevier curator, you will be integral in creating content, and helping solve key challenges for our Life-Science customers. Key Responsibilities: · Working to deliver exceptional customer support. The successful candidate will work with teams across Elsevier and partner companies to deliver bespoke customer solutions. · Updating and continual improvement of SciBite’s key scientific content. · Organizing the ontology pipeline to deliver ontologies into the heart of SciBite tools, for the Life Sciences and beyond. · Demonstrating and training customers on use of SciBite tools. · Writing blogs, reports and papers, and giving presentations at public meetings and workshops. · Developing SOPs, and devising and implementing key curation workflow improvements Qualifications/Skills/Experience: · PhD or MSc in a Life Sciences subject · Strong interpersonal skills, and confident in representing Elsevier at customer and public meetings · Experience of building and working with biomedical ontologies · Experience curating biological/clinical data within a pharma/drug discovery/life sciences environment
 · Familiarity with major bio and chemo-informatics public databases and ontologies · Bring the right ‘Can Do’ approach to fit our company culture · Experience of working independently and under pressure · Ability to identify problems and apply creative solutions · Excellent written, verbal and presentation skills Additionally, any experience in the following would be advantageous: · Experience in customer-facing or Professional Services roles · A scripting language such as Python, accessing RESTful APIs, use of regular expression · Using Git/GitHub · Exposure to text-analytics and text-mining and an understanding of how these can aid drug discovery and development · Interest in Machine Learning / AI We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Italy
Job Closed
Avenga logo

Data Science Engineer

Avenga

A global IT engineering and consulting company specializing in custom software development.

Data Scientist51 days ago
Full TimeRemoteTeam 5,001-10,000H1B No Sponsor

• Support the development of AI/ML solutions, including NLP and Generative AI use cases • Contribute to building systems such as chatbots, voice bots, and RAG-based solutions • Assist in developing predictive models using historical data and machine learning techniques • Help evaluate and compare model performance using appropriate metrics • Collaborate with data engineers and developers to deploy models into production environments • Participate in building proof-of-concepts and transforming them into scalable solutions • Work closely with cross-functional teams to understand business needs and translate them into data-driven solutions

Poland
Job Closed
Mudflap logo

Senior Data Scientist

Mudflap

The #1 Fuel App for Trucking. Get instant diesel discounts at truck stops nationwide.

Data Scientist51 days ago
Full TimeRemoteTeam 11-50H1B No Sponsor

Drive strategic data science initiatives that impact business outcomes, lead end-to-end machine learning projects, and collaborate across teams to translate complex requirements into actionable insights while mentoring junior team members.

California