{"id":168217,"url":"https://alion.io/job/clickpost-data-scientist","title":"Data Scientist","company":{"id":59332,"name":"ClickPost","domain":"clickpost.ai","url":"https://alion.io/company/clickpost","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":70,"open_postings":16,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Claude","optional":false},{"name":"CLIP","optional":false},{"name":"Computer Vision","optional":false},{"name":"Confluence","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Image Segmentation","optional":false},{"name":"Java","optional":false},{"name":"JAX","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NER","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OCR","optional":false},{"name":"Plotly","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tokenization","optional":false},{"name":"Voice Agents","optional":false},{"name":"XGBoost","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"CI/CD","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Feature Store","optional":true},{"name":"Kubernetes","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-08-07T09:53:08Z","employer_posted_date":"2026-08-07","last_verified_at":"2026-10-17T01:20:13Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":69},"description":"Role: Data Scientist\nDepartment: Data Science\nLocation: Bengaluru [On-site]\nExperience: 2 to 4 YOE\nAbout ClickPost:\nSince 2017, ClickPost has been the post-purchase intelligence platform that turns logistics complexity into a competitive advantage for the world's leading retailers, including Walmart, Nykaa, Mars, Adidas, Bluestone, GIVA, Kapiva, and 450+ brands across India, Southeast Asia, the Middle East, and North America. Through a single API, our platform manages tracking, exceptions, and returns across 600+ pre-integrated carriers, with AI allocating every shipment to the optimal carrier and resolving delivery issues before orders fail.\nAnd we're not standing still. We're actively building the agentic layer for post-purchase, from AI voice agents like Parth to a growing suite of agents that resolve delivery exceptions, confirm orders, and recover lost sales. This is real, in-production AI, live with customers today.\nWe process 50M+ shipments every month, helping brands cut failed deliveries and \"where-is-my-order\" queries while converting more returns into exchanges.\nWe're one of the rare companies operating at the intersection of cutting-edge AI, enormous scale, and a brand respected across the global SaaS and e-commerce world. Our core values of transparency, continuous learning, ownership, and speed, plus a team that includes several ex-startup founders, make this a place that's both fast-moving and rich with opportunities to learn. Our vision is to become the global standard for post-purchase intelligence, where logistics complexity never limits a brand's growth.\nAbout the Role:\nWe're looking for a Data Scientist to join our team and help turn one of the richest logistics datasets in the country into models and insights that directly improve how millions of shipments are delivered.\nYou'll work on real problems, predicting delivery dates, detecting and resolving delivery failures, estimating live ETAs, building recommendation and anomaly-detection systems, and surfacing insights that drive product and business decisions.\nThis is a high-ownership role. We're hiring across the 1 to 4 year range because we care more about how you think and how fast you learn than about years on paper.\nYou'll work closely with senior data scientists, engineers, and founders, and you'll own problems end-to-end, from exploring the data to shipping a model to production and measuring its impact.\nWhat You'll Do:\nBuild, train, and evaluate machine learning and deep learning models for real logistics problems, delivery date prediction (EDD), delivery-failure (NDR) resolution, ETA estimation, ranking/recommendations, forecasting, and anomaly detection.\nExplore large, messy, real-world datasets end-to-end: variable identification, data cleaning, feature engineering, dimensionality reduction, distance/similarity computation, and handling missing/imputed data.\nBuild and maintain data pipelines (batch & streaming) on Databricks using Spark, PySpark, and Delta Lake.\nWrite clean, well-documented code in Python (pandas, NumPy, scikit-learn, Matplotlib) for analysis, modeling, and production.\nDeploy models to production and own their lifecycle, monitoring, validation, drift detection, and continuous improvement.\nDesign and run experiments (A/B testing, causal analysis), apply statistical analysis to measure impact, and translate results into actionable recommendations.\nPartner with product, engineering, and business teams to turn ambiguous problems into well-scoped, measurable data science solutions.\nDocument methodology and models clearly; communicate findings to both technical and non-technical audiences.\nResponsibilities / What We're Looking For:\n1 to 4 years of work experience in data science, machine learning, or a similar role (strong internships and projects count).\nProficiency in Python, SQL, Spark/PySpark, Artificial Intelligence, and Machine Learning.\nDegree in data science, statistics, engineering, applied mathematics, operations research, information sciences, computer science, or another biological/physical science.\nKnowledge of statistics and machine learning: regression, classification, clustering, and model evaluation.\nAbility to manipulate, analyze, and interpret large datasets.\nStrength in code documentation.\nProficiency in Git and code versioning tools (GitLab).\nProficiency in the Atlassian Suite such as JIRA and Confluence.\nFamiliarity with cloud computing (AWS, Google Cloud preferred; Azure also relevant).\nKnowledge of dashboarding and visualization tools (Tableau, Power BI, Plotly, Spotfire).\nStrong problem-solving and analytical skills, you can break an ambiguous business problem into a working system.\nTechnologies You May Work With:\nLanguages: Python, SQL, Java\nData platforms & big data: Databricks, PySpark, Apache Spark, Delta Lake, structured streaming, Kafka, BigQuery, S3/ADLS, Airflow, Hive, Flink\nML / DS libraries: pandas, NumPy, scikit-learn, XGBoost; models incl. logistic regression, random forests, SVMs, CNNs/RNNs, transformers, etc.\nDeep learning frameworks: PyTorch, TensorFlow, JAX\nNLP & techniques: tokenization, n-grams, phonetics, fuzzy matching, similarity scoring, embeddings, NER\n GenAI / LLMs: LLMs (GPT, Claude, Llama), prompt engineering, fine-tuning, RAG, LangChain, LlamaIndex, agentic workflows (LangGraph, CrewAI, AutoGen)\n Computer vision: OCR, image segmentation, object detection, ViT/CLIP (nice-to-have)\n Cloud & MLOps: AWS (SageMaker, Bedrock), Google Cloud (Vertex AI), Azure ML, Docker, Kubernetes, FastAPI, CI/CD, feature stores, model registries, model monitoring & drift detection\nVisualization: Tableau, Power BI, Plotly, Spotfire, Matplotlib\nTooling & collaboration: Git/GitLab, JIRA, Confluence\nData modeling & governance: star schema / dimensional modeling, data warehousing / lakehouse, data quality, lineage, observability\nSoft Skills:\nSelf-motivation and the ability to handle multiple competing priorities in a fast-paced environment.\nStrong interpersonal skills and the ability to build effective relationships with team members, including remotely.\nA bias for ownership and speed, you ship, measure, and iterate.\nWhat You Can Expect:\nOwnership and autonomy: You'll own and drive problems end-to-end, with no micro-management.\nCulture: We value speed and expect you to move fast and stay updated with the latest in ML and AI. People grow extremely fast at ClickPost when they focus on impact and take initiative.\nOur team thrives on transparency.\nCompensation: Competitive salary plus performance bonus.\nBenefits:\nHealth insurance\nGenerous leave policy\nLearning and development budget\nTeam events and company offsites\nCompany laptop and devices\nMaternity and paternity benefits","description_format":"text","description_chars":6711,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Supply Chain & Logistics Software"],"lifecycle":[{"event":"open","at":"2026-08-07T09:53:08Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.278,"p_room":0.28,"age_days":69,"expected_fill_days":24,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:junior"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/clickpost-data-scientist","json_url":"https://alion.io/job/clickpost-data-scientist.json","meta":{"generated_at":"2026-10-17T05:13:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6961,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":59332},"rest":"https://alion.io/mcp/rest/get_company?id=59332"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fclickpost-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fclickpost-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fclickpost-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/clickpost-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fclickpost-data-scientist"}]}