{"id":3318520,"url":"https://alion.io/job/d-square-consulting-services-data-science","title":"Data Science","company":{"id":3800293,"name":"D Square Consulting Services","domain":"dsquareconsulting.com","url":"https://alion.io/company/d-square-consulting-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"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":13000,"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":"Git","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Databricks","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-27T06:24:29Z","employer_posted_date":null,"last_verified_at":"2026-10-27T06:24:29Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"JD - Streamlit Developer / Jr. Data Scientist\n\nExperience: 2+ Years\n\nWork Mode: On-site\n\nLocation: Bangalore\n\nJob Summary:\n\nWe are looking for a Streamlit Developer / Jr. Data Scientist with strong experience in Python, SQL, Snowflake, and Streamlit to support the development and maintenance of internal business applications. The role will focus on building multi-page Streamlit applications, developing interactive data components, writing and optimizing SQL queries against Snowflake, integrating data science model outputs into user-friendly applications, deploying applications across environments, and troubleshooting production issues.\n\nMust-Have Skills:\n\n- 2+ years of professional experience building data applications using Python.\n\n- Strong hands-on experience with Streamlit and the ability to independently build and structure Streamlit applications.\n\n- Strong SQL skills, including joins, window functions, and aggregations over large tables.\n\n- Hands-on experience with Snowflake.\n\n- Strong experience with the Python data stack, particularly pandas.\n\n- Experience building multi-page Streamlit applications.\n\n- Experience developing interactive data tables, editable inputs, pivot views, timeframe selectors, and metric cards.\n\n- Understanding of Streamlit session state, caching, layout, and application performance.\n\n- Experience deploying and migrating Streamlit applications across environments.\n\n- Experience debugging production issues related to serialization, caching, session state, and performance.\n\n- Experience with Git and standard code review practices.\n\n- Ability to work independently from written requirements and effectively communicate when requirements need clarification.\n\nGood-to-Have Skills:\n\n- Experience with PySpark.\n\n- Experience working with Databricks.\n\n- Experience with e-commerce, retail, or CPG data.\n\n- Experience demoing applications to non-technical business stakeholders.\n\n- Experience working closely with Data Scientists to integrate model outputs into business applications.\n\nKey Responsibilities:\n\n- Build and maintain multi-page Streamlit applications used by internal business teams.\n\n- Develop application pages, tables, filters, charts, and interactive calculators on top of Snowflake data.\n\n- Write SQL queries against Snowflake to power application views and optimize queries for improved page performance.\n\n- Build interactive components such as filterable data tables, editable inputs that trigger recalculation, pivot views, custom timeframe selectors, and metric cards.\n\n- Work closely with Data Scientists to transform model outputs into intuitive and user-friendly applications for non-technical stakeholders.\n\n- Deploy and migrate Streamlit applications across different environments.\n\n- Debug and resolve production issues, including serialization errors, caching behavior, session state issues, and performance challenges with large result sets.\n\n- Apply appropriate Streamlit session state and caching techniques to ensure reliable application behavior.\n\n- Participate in Git-based development and standard code review processes.\n\n- Work from written requirements with minimal supervision and proactively communicate any gaps or concerns in requirements.\n\n- Support application enhancements and maintenance based on business user needs.\n\nQualification:\n\n- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline.\n\n- Professional experience in Python-based data application development is required.\nSkills\nData Science, Python, SQL, Pandas, Snowflake DB","description_format":"text","description_chars":3584,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-10-27T06:29:10Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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