Data Scientist - Consumer Anaytics, Forecasting

Data Scientist - Time series and forecasting

Lingaro Group

Data Scientist - Time series, Forecasting India, Remote Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.   Tasks/ Responsibilities: §  Work on end‑to‑end classification and forecasting use cases: problem framing, data preparation, model development, evaluation and basic deployment support (e.g. demand forecasting, churn prediction) §  Explore and clean data; perform EDA to understand data and flag data quality issues. §  Engineer features for tabular and time‑series data. §  Train, validate, and tune standard ML models (e.g. logistic regression, tree‑based models, gradient boosting, simple neural nets, classical time‑series models). §  Evaluate models with appropriate metrics that have impact on business KPIs. §  Build clear visualizations and concise reports to present model results and insights to business stakeholders. §  Collaborate with data engineers and AI engineers to bring models intoproduction (batch scoring, APIs, models monitoring, dashboards). §  Document data sources, modeling assumptions, and experiment results in a reproducible way (notebooks, reports, wikis).   What We're Looking For:   Must Have: §  Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.) §  Knowledge of customer analytics concepts or advanced forecasting §  Model hyperparameter tuning in an analytical role supporting business will be a plus §  Fluency in Python, basic working knowledge of SQL §  Knowledge of specific DS/ML libraries §  Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure) Nice to Have: §  Understanding of Causal machine learning §  Experience in working with big data and distributed environments would be a plus §  Commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus §  Experience with OOP in Python §  Experience with MLOps §  Familiarity with other languages R, Scala would be a plus General:  §  Basic computer programming skills and familiarity with programming concepts §  Strong business acumen §  Experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems   Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.   We offer: Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites. “Office as an option” model. You can choose to work remotely or in the office, depending on your location.   Flexibility regarding working hours and your preferred form of contract.   Comprehensive online onboarding program with a “Buddy” from day 1.    Cooperation with top-tier engineers and experts.   Unlimited access to the Udemy learning platform from day 1. Certificate training programs. Lingarians earn 500+ technology certificates yearly.  Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. Internal Gallup Certified Strengths Coach to support your growth. Grow as we grow as a company. 76% of our managers are internal promotions.   A diverse, inclusive, and values-driven community.    Autonomy to choose the way you work. We trust your ideas.   Create our community together. Refer your friends to receive bonuses.   Activities to support your well-being and health. Plenty of opportunities to donate to charities and support the environment.   Modern office equipment. Purchased for you or available to borrow, depending on your location.

Senior Data Scientist - BEES Logistics

AB InBev

About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. About BEES At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all. The BEES AI organization drives data science and machine learning strategy across logistics, operations, and customer-facing products. We build end-to-end intelligent systems that optimize how goods move through our network, improving reliability, efficiency, and the overall customer experience at global scale. As a member of the BEES Logistics Data Science team, you will develop data-driven solutions that power delivery planning, operational efficiency, and customer promise accuracy across multiple markets. What you'll do:  * Be part of a high-impact data science team building intelligent logistics systems that optimize delivery operations at a global scale. * Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle — from research and experimentation to production — focusing on planning, forecasting, and operational decision-making. * Apply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve efficiency, reliability, and cost of delivery operations. * Translate complex real-world logistics constraints into scalable mathematical models and data-driven systems. * Contribute to experimentation and performance evaluation through offline analysis and online testing, ensuring solutions are robust, scalable, and aligned with operational goals. * Write production-grade code and build reusable data and modeling pipelines that operate reliably at scale. * Collaborate closely with engineers, product managers, operations teams, and business stakeholders to deliver impactful solutions. * Drive continuous improvement by exploring new methodologies in machine learning, optimization, and applied statistics, raising the technical bar across the organization. What you'll need: * Strong foundation in mathematics, statistics, and problem solving. * Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD is a plus. * Proven experience applying machine learning, optimization, or advanced analytics to real-world problems in production environments. * Experience with complex systems involving uncertainty, constraints, and large-scale data. * Proficiency in Python for data analysis, modeling, and production workflows; experience with distributed processing (e.g., Spark / PySpark) is a plus. * Familiarity with at least one of the following domains: optimization, forecasting, geospatial analytics, or large-scale operational systems. * Experience with experimentation frameworks, model validation, and performance monitoring. * Strong understanding of software engineering best practices, including version control, CI/CD, and reproducible workflows. * Ability to work with ambiguity, break down complex problems, and deliver practical, high-impact solutions. * Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiences. What We Offer: * Performance based bonus* * Attendance Bonus*  * Private pension plan * Meal Allowance * Casual office and dress code * Days off* * Health, dental, and life insurance * Medicines discounts * WellHub partnership * Childcare subsidies * Discounts on Ambev products* * Clube Ben partnership * Scholarship* * School materials assurance * Language and training platforms * Transport allowance *Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.  For more information: www.abinbev.com

Senior Data Scientist

Artefact

About the Job Do you get excited when a messy, ambiguous business problem finally yields to the right model? Do you think in systems, speak fluently across the technical-business divide, and want your work to do more than sit in a notebook — you want it to actually ship, scale, and matter? With over 2,000 employees, 36 offices on five continents, and world-class clients like Samsung, L'Oréal, and Mattel, Artefact is a consulting firm that transforms data into measurable value and business impact. We've launched in the US with offices in NYC and Los Angeles — and we're looking for a Senior Data Scientist to help define what world-class data science looks like on our founding team. ---------------------------------------------------------------------------------------------------------------------------------- Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement, and deliver results our clients can measure. We have 2,000 employees across 36 offices focused on accelerating digital transformation for some of the world's most recognizable brands. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value to every client. We design data-driven solutions tailored to each client's specific needs — always conceived with a business-first mindset and delivered with tangible, measurable results. Our expertise is built on deep AI knowledge acquired through 1,000+ client engagements across the globe. Find out more at artefact.com. What You Will Be Doing As a Senior Data Scientist, you'll be the technical engine behind some of our most complex and consequential client engagements. You'll move fluidly between data exploration, model development, and executive communication — bringing scientific rigor to business problems and translating results into strategies that clients actually implement. This isn't a role where you hand off findings and walk away. You'll be embedded with clients, co-owning outcomes, and ensuring that the models you build don't just perform in a test environment — they create real, lasting impact in production. You'll also be a technical anchor for our US team, setting standards, mentoring junior data scientists, and contributing to the methodologies that define Artefact's edge. Key responsibilities include: * Designing and building end-to-end machine learning and statistical models that solve high-stakes business problems — from framing the question to deploying the solution * Conducting rigorous exploratory data analysis to uncover patterns, anomalies, and opportunities that inform both technical and strategic decisions * Translating complex model outputs and analytical findings into clear, compelling narratives for senior client stakeholders — making the technical accessible without dumbing it down * Partnering with client teams and data engineers to ensure models are production-ready, scalable, and built on clean, reliable data pipelines * Defining the analytical approach for client engagements — selecting the right methods, tools, and frameworks for the problem at hand, not just the ones you're most comfortable with * Contributing to new business proposals — helping articulate Artefact's technical capabilities and translating data science into clear client value * Developing thought leadership and internal methodologies — publishing research, building reusable frameworks, and raising the technical bar across the practice * Mentoring junior data scientists and analysts, actively investing in the team's technical depth and growth What We Are Looking For We want someone who is as comfortable whiteboarding a modeling strategy with a client's Chief Analytics Officer as they are debugging a pipeline at 11pm before a big delivery. You've shipped models that people actually use. You've sat in rooms where the business stakes were real, and you've delivered. You know the difference between a technically elegant solution and a practically useful one — and you always choose useful. You'll arrive ready with the following: * 4–7 years of hands-on experience in data science, machine learning, or advanced analytics — with a demonstrable track record of end-to-end model delivery in a client-facing or high-stakes business environment * Advanced degree (MSc or PhD) in a quantitative field — statistics, mathematics, computer science, engineering, or equivalent; strong undergraduate candidates with exceptional experience will be considered * Expert-level proficiency in Python and/or R; you write clean, maintainable, production-quality code * Deep expertise in machine learning and statistical modeling — regression, classification, clustering, time series, NLP, recommendation systems, and/or deep learning, depending on your specialization * Strong command of SQL and experience working with large-scale datasets across cloud platforms (GCP, AWS, or Azure) * Experience with MLOps practices — model versioning, monitoring, deployment pipelines, and productionization — is a significant differentiator * Exceptional communication skills — you can explain a gradient boosting model to a CFO and a business case to an ML engineer, and both conversations land * Demonstrated ability to lead technical workstreams and mentor junior team members * Consulting or client-facing experience is highly desirable; the ability to manage ambiguity, scope problems, and deliver under pressure is essential * Exposure to marketing analytics, customer analytics, or demand forecasting in a consumer-facing industry is a meaningful asset Why You Should Join Us At this level, you're not just looking for a job — you're looking for the right environment to do your best work. Here's what makes Artefact different: Variety that keeps you sharp. In a product role, you go deep on one problem. Here, you'll work across industries, business functions, and problem types — building the kind of range that makes exceptional data scientists exceptional. No two engagements are the same. Your work actually ships. We have a relentless focus on adoption and impact. The models you build are designed from day one to live in production, influence decisions, and create measurable value — not to gather dust in a final report. A global technical community. With 2,000 data and AI specialists across 36 offices, you'll have access to some of the most sophisticated data science thinking in the world. You'll contribute to — and benefit from — a community of practitioners working on the frontier. Founding team energy. We're building our US practice, which means the norms, standards, and culture you help create now will define Artefact in North America for years to come. That's a rare opportunity at any stage of a career. We are united by our values and strengthened by our hybrid expertise: * There is always a way — We're builders, diggers, and makers. Ideas only count if they get executed. * Client trust is won in the field — We show up where it matters, working side by side with our clients to solve what's real. * If not used, it is useless — We build for adoption and impact. True brilliance is measured by what changes, not what's delivered. * If not shared, our work is not done — Sharing knowledge is how we close the loop — for our clients and for each other. * We learn every day — In a field moving at the speed of light, intellectual curiosity isn't optional. It's survival. our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2,000 employees across 26 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. Find out more at artefact.com. What You'll Be Doing As a Junior Data Consultant, you'll sit at the intersection of business strategy and data — helping clients make smarter decisions, faster. You'll work directly with clients to understand their challenges, dig into their data, uncover insights that change how they operate, and communicate those findings in ways that drive action. This is not a back-office analytics role. You'll be client-facing, intellectually challenged, and given real responsibility from day one. Our best junior consultants don't stay junior for long. Day-to-day responsibilities include: * Collecting, cleaning, and organizing data from diverse sources — databases, spreadsheets, APIs, and web-based tools * Preparing and structuring data for analysis, including quality checks, error correction, and formatting for statistical software * Analyzing data using tools such as Excel, SQL, Python, or R to surface trends, patterns, and actionable insights * Translating complex data findings into clear, compelling narratives for both technical and non-technical audiences * Partnering with clients to deeply understand their business objectives and co-developing data-driven strategies to meet them * Staying sharp: actively investing in your own professional development as the data and AI landscape evolves rapidly What we are looking for We want builders, thinkers, and fast learners — people who are energized by ambiguity, motivated by impact, and who can hold their own in a room with a senior client. You're the kind of person who asks "why?" before jumping to "how," and you never stop at "good enough." * An undergraduate degree with strong academic performance * 1–2 years of full-time experience in consulting, data/analytics, marketing, finance, or tech * Outstanding verbal and written communication skills — you can represent Artefact confidently in front of clients * Proven ability to collaborate across diverse, multicultural teams; strong intercultural communication skills are essential * Advanced proficiency in Excel and PowerPoint * A genuine passion for data, digital, and the broader tech economy * A natural desire to teach and develop others; you lift the people around you * Exposure to strategy consulting and/or digital marketing is a strong asset, but not a dealbreaker Why Join Artefact? We're not just a workplace — we're a community of people who believe that data, applied well, can change how businesses operate and how the world works. We move fast, we challenge each other, and we celebrate people who make things happen. Our values aren't decorations on a wall — they're how we actually work: * There is always a way — We're builders and problem-solvers. An idea only counts if it gets executed. * Client trust is won in the field — We show up, sleeves rolled up, working side by side with our clients. * If it's not used, it's useless — We build for adoption and impact, not for slide decks. * If it's not shared, we're not done — Knowledge shared compounds. We invest in each other's growth. * We learn every day — In a field that moves this fast, standing still means falling behind. We embrace the challenge. Compensation & Benefits The estimated base compensation for this role is $125,000 - $135,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for competitive benefits.