ApplySarthi

Head of Applied Science

Rohlik

Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.

Got this interview? Our apps help you get the job.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

1,068 open applied roles across 152 companies are on ApplySarthi right now, most of them in Bengaluru (101), Hyderabad (13), Delhi NCR (7).

What applied roles keep asking for: Python (67%), Machine learning (51%), Java (39%), C++ (38%), LLMs (36%), Deep learning (26%), AWS (21%), Generative AI (19%) — counted across their open postings here.

BigQuery jobs · GCP jobs · Machine learning jobs · Python jobs

Rohlik has 10 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for applied roles keep coming back to Python, Machine learning, Java, C++. Practise those questions before you sit with Rohlik.

Questions you are likely to be asked

  1. Why do you want to join Rohlik?
  2. What is your experience with Supply chain? Tell me one thing you learned the hard way.
  3. What is a weakness you are working on, and how?
  4. Tell me about yourself, and why this role is the right next step.
  5. Tell me about a problem you solved at work that you are proud of.

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Head of Applied Science at Rohlik interview free →

Rohlik is the leading Central European e-grocer. More than a million customers shop with us across Rohlik.cz , Knuspr.de , Kifli.hu , Gurkerl.at , and Sezamo.ro , choosing from over 20,000 items delivered within hours in 15-minute windows. Behind every order is a continuous stream of automated decisions: how much inventory to buy for each warehouse, how many pickers to schedule on Thursday morning, where in the warehouse a product should sit, and which van carries which bags. Our models make these choices every day across five countries. When a forecast is accurate, shelves stay full and waste is minimized. When a plan is right, warehouses run on exact labor needs and orders arrive precisely in the customer’s chosen window. Get it wrong, and it immediately translates into shrink, overtime, tied-up capital, and missed customer deliveries. Why this role is exciting Direct operational and business impact: Your team’s models directly drive availability, shrink, fulfillment costs, and working capital across all five markets. True ownership with zero friction: We operate automated production pipelines with no committee between your team and deployment—a solid backtest is all you need to ship. Unification of two core capabilities: You will bring Forecasting and Optimization into a single function, building an end-to-end decision-making ecosystem from the ground up. AI-first environment: Our engineers use AI coding agents (Devin, Claude Code) daily, and we expect you to push the boundaries of modern agentic workflows and tooling. Direct executive exposure: Reporting directly to the Group CTO, you will have the mandate and space to shape technical strategy and execution. What you will own and deliver Business outcomes: Own the business results delivered by the forecasting and optimization portfolio, setting targets with cell leads and tracking financial and operational impact in production. Strategic roadmap & prioritization: Define which decisions to automate next across purchasing, fulfillment center planning, workforce scheduling, and commercial optimization (promotions, markdowns, demand shaping). Technical standards & architecture: Set the bar for problem framing, method selection, fast production MVPs, honest evaluation/backtesting against business metrics, and reliability monitoring. Function unification & leadership: Merge Forecasting and Optimization into one high-performing team; set hiring standards, develop ML engineers and applied scientists, and foster an AI-first way of working. Cross-functional partnership: Partner closely with cell leads, operations managers, product owners, and engineering leads to align on business metrics, baselines, and seamless system integration. What we are looking for Track record of impact: 8+ years applying machine learning, forecasting, or operations research to real operational or commercial problems, with clear metrics demonstrating business results. Works backwards from outcomes: A proven habit of defining target metrics first, selecting the simplest effective method, shipping fast MVPs, and iterating in production. Hands-on technical depth: Experience building and shipping production models in time-series/probabilistic forecasting or mathematical optimization (LP, MIP, CP, heuristics, simulation), with enough depth to review models and judge when simple heuristics beat complex models. Technical skills: Fluency in Python and SQL; hands-on experience with production pipelines, monitoring, and backtesting; familiarity with modern forecasting stacks or solvers (Gurobi, CPLEX, OR-Tools). Operational fluency: Experience working directly alongside supply chain, warehouse, or logistics operations, including spending time on the floor to understand problems before framing models. Leadership & communication: Proven experience leading technical teams, hiring top talent, developing engineers, and translating complex model mechanics into business trade-offs for executives. AI-first mindset: Active use of coding agents and modern AI tooling in your daily workflow, driving the same approach across your team. Quantitative background: M.S. or Ph.D. in Operations Research, Computer Science, Statistics, Applied Mathematics, or equivalent hands-on experience. Nice to have: Experience in e-commerce, grocery, supply chain, or logistics at scale. Experience building or scaling a forecasting, optimization, or decision-science function from an early stage. Experience feeding probabilistic forecasts directly into optimization models. Experience with GCP, Snowflake, or BigQuery, and ML platforms such as ZenML or Vertex AI. What’s in it for you Fair pay, transparent, stable compensation A strong fixed salary with clear rules. No bonus politics. Great work is rewarded openly and fairly. Good food options, fresh, every day Enjoy subsidised meals/fresh food options in the office and regular refreshments like drinks, fruit, and snacks that keep you energized. Life beyond work, hybrid work & real flexibility Three days in the office and the rest where it works best for you. Take time off when you need it with paid vacation days above statutory and flexible scheduling. Grow with Knuspr every day - we move fast, and so can you. Learn, experiment, and take ownership from day one. Every challenge is a chance to grow. Recognition & community - Your impact is seen and appreciated. You can celebrate colleagues through Bonusly peer-recognition credits and feel supported by a team that works hard and wins together. Health & wellbeing - Access to our UNIQA private insurance option and supportive wellbeing culture, keeping you healthy inside and outside of work. Mobility & convenience - Company car available for selected management-level roles and fuel support for regular WH travel. Premium membership - Free Knuspr Premium membership with exclusive benefits. Referral rewards - Recommend great people and get rewarded through our group referral program. Team spirit - We organize team events, celebrations, and moments to connect because work is better when we win together. #LI-ML1 #Knuspr Find more English Speaking Jobs in Germany on Arbeitnow

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on arbeitnow · posted 2026-10-07. ApplySarthi collects openings and links to application pages; the role is advertised by Rohlik, not by us.