{"id":3315897,"url":"https://alion.io/job/anblicks-senior-data-scientist","title":"Senior Data Scientist","company":{"id":2303504,"name":"Anblicks","domain":"anblicks.com","url":"https://alion.io/company/anblicks","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Cortex","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Keras","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Feature Store","optional":true},{"name":"H2O.ai","optional":true},{"name":"Kubeflow","optional":true},{"name":"MLFlow","optional":true},{"name":"Prometheus","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:55:45Z","employer_posted_date":null,"last_verified_at":"2026-10-27T00:55:45Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Job Role: Senior Data Scientist – AI/ML & Propensity Modeling\nLocation: Hyderabad\nExperience: 8+ Years\n\nAbout Anblicks\nAnblicks is a Data & AI company helping global enterprises transform data into intelligent, scalable, and business-driven solutions. We specialize in Data Engineering, AI/ML, Cloud, Databricks, Snowflake, and Modern Data Platforms, delivering high-impact solutions for complex enterprise data and analytics challenges.\n\nWe are looking for a Senior Data Scientist to join our Data & AI team and lead the development of advanced machine learning, statistical modeling, predictive analytics, and AI solutions. This role is ideal for a hands-on Data Scientist who enjoys solving complex problems using large-scale data and building models that move from experimentation to production.\n\nWhat You'll Do\nDesign, develop, evaluate, and deploy advanced machine learning and statistical models for predictive analytics, propensity modeling, segmentation, and data products.\nApply statistical modeling, machine learning, optimization, and AI techniques to solve complex business and analytical problems.\nWork with large and diverse datasets, including demographic, behavioral, transactional, digital, media, and other structured/unstructured data.\nDrive the complete data science lifecycle — data preparation, feature engineering, model development, validation, optimization, deployment, and monitoring.\nBuild and optimize models using supervised and unsupervised learning, ensemble methods, deep learning, and advanced statistical techniques.\nDevelop production-grade ML solutions using Python, PySpark, Spark MLlib, Scikit-learn, TensorFlow/Keras, or equivalent frameworks.\nDesign and implement scalable ML pipelines using Spark/PySpark and cloud-based data/ML platforms.\nBuild and maintain ETL, ML, and MLOps pipelines supporting reliable production deployment.\nImplement automated approaches for model validation, monitoring, QA, performance tracking, and model/drift monitoring.\nWork closely with Product, Engineering, Data Engineering, and Business teams to translate business objectives into scalable data science solutions.\nDefine relevant KPIs and model performance metrics and communicate insights to technical and business stakeholders.\nDrive adoption of modern Cloud, AI/ML, Databricks, and MLOps technologies across data science initiatives.\nExplore and implement GenAI and AI Agent solutions to automate analytical and business workflows.\nPartner with engineering teams to successfully transition models and data science solutions from development to production.\nPresent analytical findings, model performance, and recommendations to senior stakeholders and clients.\nMentor junior Data Scientists and contribute to technical standards, best practices, and innovation initiatives.\n\nRequired Skills & Experience\n8+ years of hands-on experience in Data Science, Machine Learning, Statistical Modeling, or a related field.\nStrong expertise in Python, with hands-on experience in Scikit-learn, Pandas, NumPy, and related data science libraries.\nStrong proficiency in SQL and experience working with large-scale datasets.\nStrong hands-on experience with Spark/PySpark and distributed data processing.\nProven experience building, deploying, and optimizing production-grade machine learning models at scale.\nStrong understanding of:\nRegression & Classification\nDecision Trees & Random Forest\nGradient Boosting / XGBoost\nSVM\nClustering\nDimensionality Reduction\nNeural Networks / Deep Learning\nStrong understanding of feature engineering, model training, hyperparameter tuning, model validation, performance evaluation, and optimization.\n5+ years of experience building ETL, ML, data transformation, and/or MLOps pipelines.\nHands-on experience with Databricks or other cloud-based ML/data platforms.\nExperience with Spark MLlib, Scikit-learn, TensorFlow, Keras, or equivalent ML frameworks.\nStrong understanding of MLOps and ML lifecycle management, including deployment, monitoring, versioning, automation, and model governance.\n1–2+ years of experience with GenAI / AI Agents, using technologies such as Claude, Databricks Genie, Snowflake Cortex, LangChain, LangGraph, or similar platforms.\nStrong analytical and problem-solving capabilities with the ability to translate ambiguous business problems into practical, scalable ML solutions.\nExcellent communication and stakeholder management skills, with the ability to present complex analytical concepts clearly.\nBachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline.\n\nGood to Have\nExperience in Propensity Modeling, Customer Analytics, Audience Analytics, Marketing Analytics, AdTech, or MarTech.\nExperience working with demographic, behavioral, survey, digital marketing, media, or transactional datasets.\nHands-on experience with Databricks ML, MLflow, Unity Catalog, Feature Store, Mosaic AI, or similar platforms.\nExperience with Airflow, Kubeflow, or other workflow/orchestration platforms.\nExperience with H2O.ai or other AutoML platforms.\nStrong experience with Deep Learning / Neural Network frameworks, including TensorFlow and Keras.\nExposure to LLMs, RAG, Agentic AI, Generative AI, and AI-powered automation.\nWhat We're Looking For\nA hands-on and technically strong Data Scientist who can take ML solutions from concept to production.\nStrong ownership and a problem-solving mindset with a focus on measurable business impact.\nAbility to work with complex, imperfect, and large-scale datasets while maintaining analytical rigor.\nPassion for emerging AI/ML technologies and a strong desire to experiment, learn, and innovate.\nAbility to collaborate effectively with global, cross-functional, and client-facing teams.\nStrong focus on building scalable, reliable, production-ready AI/ML solutions.","description_format":"text","description_chars":5855,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-27T05:09:15Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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