{"id":4010427,"url":"https://alion.io/job/hcltech-senior-technical-specialist-196","title":"Senior Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Sales","role_family":"Sales","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Time Series","optional":false},{"name":"Angular","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"Git","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LightGBM","optional":true},{"name":"Matplotlib","optional":true},{"name":"Prophet","optional":true},{"name":"React.js","optional":true},{"name":"Rest API","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SciPy","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Transformers","optional":true},{"name":"TypeScript","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-11-10T09:44:10Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T09:44:10Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nWe are a team of nerds dedicated to collect other nerds that happen to be the best in their respective fields in the broadly understood IT service and analytics. Together, we create IT and Analytical Hubs that bring together the best experts from the IT world to help our partners become truly data-driven entities.\nCurrently, we are looking for a Data Scientist as we support our partner in developing a Global Analytics Unit -a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations. The team is designed to foster a data-driven entrepreneurial culture by acting as an incubator to turn ideas into action: creating smart data products across various business domains like sales, marketing, purchasing, logistics, and beyond.\nThe team has the autonomy to shape their approach, especially in terms of tools, technology, and introducing new concepts and solutions.\nData Scientist\nWe are searching for a Data Scientist to join our team of top-tier specialists, responsible for applying their expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation analytics engines and services.\nIf you want to:\nTake part in developing and implementing complex smart data solutions.\nWork on bleeding-edge projects with a chance to see your visions come to life.\nCollaborate with world-class IT professionals.\nWork on projects addressing real business challenges in a global and diverse team.\nHave real impact on the projects and environment you work in.\nPropose innovative solutions and initiatives.\nFlexible working hours and a casual, non-corporate environment.\nAccess to benefits such as Multisport, private medical care, and a modern office in the center of Warsaw with good transport links.\nRemote work options as much as you prefer.\nA relaxed atmosphere at work where your passion and commitment are appreciated.\nVast opportunities for self-development through online courses, certifications, and global knowledge-sharing.\nThen this role is certainly a good match!\nKey Responsibilities\nUnderstanding business problems and designing smart data products.\nDeveloping complex models and algorithms to drive innovation within the organization.\nConducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance.\nCollaborating with data engineers to implement and deploy scalable solutions.\nWorking closely with business teams to clarify ambiguous projects into concrete requirements.\nDesigning and implementing time-series forecasting, anomaly detection, and demand-sensing solutions for business domains such as sales, marketing, pricing, supply chain, and logistics.\nPartnering with software and full-stack engineering teams to expose models through APIs, dashboards, and scalable user-facing applications that support day-to-day business decisions.\nSkill Requirements\nMS or PhD in Computer Science, Statistics, Mathematics, Artificial Intelligence, Physics, or a related technical discipline.\nAt least 5 years of experience in a statistical and/or data science role.\nExpertise in Python (experience with languages like R, MATLAB, Scala is a plus).\n 2+ years of hands-on Python ML Production experience (not just POC), with proficiency in deploying models to real-world systems.\n3+ years of professional experience as a Data Scientist, with a focus on applying machine learning models to business problems.\nStrong software engineering skills, including unit testing, object-oriented programming, and familiarity with best practices like PEP8 and tools like Black.\nFamiliarity with Azure Machine Learning (1+ year of experience) and building cloud-based ML solutions.\nExperience in Bayesian modeling (1+ year) and the application of probabilistic models.\nFluency in the NumFOCUS stack: pandas, scikit-learn, Matplotlib, and SciPy.\nExperience working with large datasets using tools like Spark and RDBMs.\nExperience with version control systems (e.g., Git) and knowledge of DevOps tools (Docker, Kubernetes, CI/CD pipelines).\nProven ability to deploy models to production and plan products, considering the broader technical landscape.\nProfessional attitude and service orientation.\nTeam player with the ability to work autonomously on complex projects.\nFluent English, as you will communicate primarily in English.\nHands-on experience with time-series algorithms and forecasting methods such as ARIMA, SARIMA, SARIMAX, Exponential Smoothing, Prophet, VAR, and state-space models, along with modern machine learning and deep learning approaches such as XGBoost, LightGBM, LSTM, GRU, and Transformer-based forecasting.\nStrong understanding of time-series feature engineering, trend and seasonality decomposition, lag-based modeling, anomaly detection, model backtesting, and forecast evaluation using metrics such as MAE, RMSE, MAPE, sMAPE, and WAPE.\nGood full-stack engineering experience, including building and consuming REST APIs using FastAPI or Flask, integrating analytical services into microservice-based architectures, and collaborating on frontend applications built with frameworks such as React or Angular.\nExperience in delivering end-to-end data products with SQL/NoSQL databases, containerized deployments, cloud services, orchestration, observability, and secure production practices for business-facing analytical applications.\nExperience with Azure stack would be a plus.\nOther Requirements\nWhy Join Heineken:\nBe part of a globally recognized brand with a commitment to innovation and sustainability.\nCollaborate with a diverse and multicultural team.\nDrive business growth through data-driven insights and optimization.\nEnjoy a competitive compensation and benefits package.\nIf you're a Data Scientist passionate about production-level machine learning, time-series forecasting, Bayesian modeling, and building end-to-end data products that connect models with real business applications, we invite you to join the Heineken team and be part of our journey to create unforgettable moments through great beer and data-driven insights.\nHeineken is an equal opportunity employer. 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