{"id":2081654,"url":"https://alion.io/job/binarystar-searchx-data-scientistengineer","title":"Data Scientist/Engineer","company":{"id":3801622,"name":"BinaryStar SearchX","domain":"binarystarsearchx.com","url":"https://alion.io/company/binarystar-searchx","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":54},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-08T10:16:36Z","employer_posted_date":null,"last_verified_at":"2026-10-08T10:16:36Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Role Overview :\n\nAs a Data Scientist/Data Engineer, you will bridge the gap between complex data architecture and actionable machine learning insights. You will work closely with cross-functional product teams and stakeholders to design robust data pipelines, optimize distributed computing workflows, and deploy predictive models that drive business efficiency. This role is pivotal in transforming raw, high-volume data into strategic assets, ensuring that our technical infrastructure remains both scalable and performant in a fast-paced environment.\n\nKey Responsibilities :\n\n- Architect and maintain scalable data pipelines using PySpark and Scala to ensure seamless data flow for downstream analytical applications.\n\n- Develop and deploy machine learning models within the Databricks environment to solve complex business problems and improve predictive accuracy.\n\n- Collaborate with engineering teams to optimize cluster performance and resource allocation, reducing latency in data processing tasks.\n\n- Translate business requirements into technical specifications to ensure that data products align with the strategic goals of our clients.\n\n- Implement best practices for code versioning, automated testing, and continuous integration to maintain high standards of software quality.\n\nRequired Skillset :\n\n- Demonstrated expertise in building distributed data systems using PySpark and Scala, with a deep understanding of Spark internals and performance tuning.\n\n- Proven ability to design, train, and deploy machine learning models in production environments, leveraging the Databricks platform for collaborative development.\n\n- Strong proficiency in SQL and Python for data manipulation, feature engineering, and complex query optimization.\n\n- Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders and influence project direction.\n\n- A minimum of 5 to 9 years of professional experience in data engineering or data science roles, ideally within a fast-paced product or consulting environment.\n\n- Ability to work effectively in an on-site capacity in Gurgaon, collaborating within a high-performing, agile team structure.\n\nSkills\nData Engineering, Data Science, PySpark, Scala, Databricks, Python, SQL, 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