{"id":4144089,"url":"https://alion.io/job/weekday-data-scientist-10","title":"Data Scientist","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":105,"ghost_share":0,"stale_share":0.981,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"D3.js","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Cassandra","optional":true},{"name":"Hadoop","optional":true},{"name":"HBase","optional":true},{"name":"JavaScript","optional":true},{"name":"Microsoft Office","optional":true},{"name":"MS SQL","optional":true},{"name":"Oracle","optional":true}],"status":"live","first_seen_at":"2026-11-12T06:21:03Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T06:21:03Z","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\nMin Experience: 2+ years\nLocation: Bengaluru, Chennai\nJobType: full-time\nWe are looking for a skilled and analytical Data Scientist to derive meaningful insights from large and complex datasets and help businesses make informed, data-driven decisions. In this role, you will apply advanced data mining techniques, statistical analysis, and predictive modelling to solve business challenges and support organisational transformation.\nYou will be responsible for developing data models, building machine learning solutions, and translating analytical findings into actionable business recommendations. The ideal candidate should have strong programming skills, hands-on experience with machine learning algorithms, and the ability to communicate complex insights to both technical and non-technical stakeholders.\nRequirements\nKey Responsibilities\nDevelop, implement, and optimise data models and algorithms to address business problems and improve decision-making.\nPerform data mining, statistical analysis, and predictive modelling to identify trends, patterns, and actionable insights.\nDesign, develop, and deploy machine learning models using algorithms such as K-Nearest Neighbours (KNN), Naïve Bayes, Support Vector Machines (SVM), Decision Trees, and Random Forest.\nApply statistical and analytical methodologies, including hypothesis testing, experimental design, and data validation.\nUse data science tools and programming languages, with hands-on proficiency in Python or R.\nWork with structured and unstructured data across relational databases and NoSQL or Big Data platforms.\nBuild and maintain dashboards, reports, and data visualisations using tools such as Tableau, Power BI, QlikView, or D3.js.\nWrite efficient scripts and programmes to automate data processing, analysis, and reporting workflows.\nCollaborate with cross-functional teams to understand business requirements and translate analytical insights into effective business strategies.\nPresent findings, model outcomes, and recommendations clearly to technical teams, business stakeholders, and leadership.\nEnsure the accuracy, quality, and reliability of data models, analytical outputs, and visualisations.\nRequired Skills & Competencies\nMust-Have Skills\nMachine Learning\nStatistical Analysis\nPython\nGood-to-Have Skills\nK-Nearest Neighbours (KNN)\nNaïve Bayes\nSupport Vector Machines (SVM)\nAdditional Skills\nStrong understanding of machine learning algorithms, statistical techniques, and predictive modelling.\nExperience with analytical and statistical programming tools such as Python or R.\nKnowledge of relational database management systems (RDBMS), including Oracle and MS SQL.\nFamiliarity with NoSQL and Big Data technologies such as MongoDB, Cassandra, Hadoop, HBase, and Cloudera.\nExperience creating dashboards and visualisations using Tableau, Power BI, QlikView, or D3.js.\nStrong programming, scripting, and problem-solving abilities.\nExcellent analytical skills, attention to detail, and a passion for data-driven decision-making.\nEffective verbal and written communication skills.\nProficiency in Microsoft Office tools, particularly Excel, PowerPoint, and Word.\nPreferred Qualifications\nBachelor's degree in Engineering, Computer Science, or a related discipline that emphasises analytical and quantitative thinking.\nMaster's degree in Data Science, Statistics, Computer Science, or a related field is an added 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