{"id":1172109,"url":"https://alion.io/job/weekday-senior-data-scientist","title":"Senior Data Scientist","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"is_intermediary":false,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":88,"ghost_share":0,"stale_share":0.977,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-09-24T05:45:00Z"}},"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":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":66000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Redis","optional":false},{"name":"Terraform","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-24T08:24:25Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T13:07:12Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This role is for one of Weekday’s clients\nSalary range: Rs 4500000 - Rs 5500000 (ie INR 45 - 55 LPA)\nMin Experience: 4+ years\nLocation: Bengaluru, Karnataka, India, India\nJobType: full-time\nAs a Senior Data Scientist, you will play a pivotal role in shaping the future of payments by defining and executing the data science roadmap for various business domains. This role involves building impactful solutions, providing technical leadership, and collaborating with cross-functional teams to deliver data-driven insights and innovation.\nRequirements\nKey Responsibilities\nPartner with stakeholders to define, own, and execute the data science roadmap for one or more business domains, building impactful solutions from the ground up\nDesign, develop, and deploy classical ML and statistical models into production environments, with hands-on ownership through the deployment stack (not just the modeling stage)\nWork with engineering-adjacent tooling such as Kafka, Redis, Terraform, and AWS to take models from prototype to reliable production systems - you don’t need to be a software engineer, but you do need to understand this stack well enough to work through deployment issues independently\nIdentify and lead applied AI/GenAI integration opportunities where they add clear business value, while keeping the classical ML and engineering fundamentals central to the role\nProvide strong technical and scientific leadership, mentoring team members and driving best practices\nEstablish, standardize, and continuously improve data science and engineering practices within the team\nBalance business delivery with innovation by contributing to applied research and experimentation\nQualifications\n5+ years of experience applying machine learning and statistical methods to solve complex, large-scale business problems, ideally from a product-based company with a strong engineering culture\nDeep understanding of classical ML techniques and their mathematical foundations - this is the core of the role, not a secondary skill\nDemonstrated, hands-on experience deploying ML models to production, with real exposure to tools such as Kafka, Redis, Terraform, and AWS\nComfortable working on applied AI/GenAI use cases as they come up, without that being the primary skill set\nStrong expertise in model evaluation techniques and the ability to align model performance with business objectives\nExperience working with scalable and distributed systems\nProven ability to translate business problems into data science solutions\nSkills Needed\nClassical Machine Learning, Statistical Methods, Model Evaluation, ML Deployment, Scalable & Distributed Systems, AWS, Kafka, Redis, Terraform, PySpark, Applied AI / GenAI\nMust-have skills\nMachine Learning, statistical modeling, Machine Learning Deployment\nGood-to-have skills\nAWS, Kafka, GenAI","description_format":"text","description_chars":2821,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-24T08:24:25Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":5,"reasons":["conf:0","agency","win:early","comp:brand"],"computed_at":"2026-09-24T13:51:27Z"},"pay":null,"html_url":"https://alion.io/job/weekday-senior-data-scientist","json_url":"https://alion.io/job/weekday-senior-data-scientist.json","meta":{"generated_at":"2026-09-24T13:51:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}