{"id":3281811,"url":"https://alion.io/job/nstarx-data-scientist","title":"Data Scientist","company":{"id":5880,"name":"NStarX","domain":"nstarxinc.com","url":"https://alion.io/company/nstarx","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"A/B Testing","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Git","optional":true},{"name":"Hadoop","optional":true},{"name":"PyTorch","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-26T16:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-26T16:35:00Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"As a Data Scientist at NStarX, you will play a key role in analyzing large datasets, developing predictive models, and providing actionable insights that drive business decisions. You will collaborate with cross-functional teams to identify trends, build data-driven strategies, and contribute to the continuous improvement of our data processes.\n\nResponsibilities: \nCollect, process, and analyze large datasets to identify trends, patterns, and insights that inform business strategies.\nDevelop and deploy predictive models using statistical, machine learning, and deep learning techniques.\nWork closely with stakeholders to understand their data needs and translate business requirements into analytical solutions.\nBuild and maintain data pipelines to ensure data quality and accessibility for analysis.\nPerform exploratory data analysis (EDA) to uncover key insights and guide decision-making.\nPresent findings and recommendations to both technical and non-technical audiences through reports, dashboards, and presentations.\nCollaborate with data engineers and software developers to integrate analytical solutions into production systems.\nStay current with the latest developments in data science and machine learning and apply new techniques as appropriate.\nContribute to the development and implementation of best practices for data analysis, modelling, and reporting.\n\nRequirements: \nBachelor's or master's degree in data science, statistics, computer science, mathematics, or a related field.\nAt least 3 years of professional experience in data science or a related role.\nProficiency in programming languages such as Python or R.\nStrong knowledge of statistical analysis, machine learning algorithms, and data visualization tools.\nExperience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn.\nFamiliarity with data visualization tools such as Tableau, Power BI, or Matplotlib.\nExperience with SQL and NoSQL databases for data extraction and manipulation.\nUnderstanding of cloud platforms like AWS, Azure, or Google Cloud is a plus.\nStrong problem-solving skills and the ability to work independently and in a team.\nExcellent communication skills, with the ability to convey complex technical concepts to a non-technical audience.\nDetail-oriented with a focus on delivering high-quality, accurate work.\nExperience with big data technologies such as Hadoop, Spark, or Kafka.\nKnowledge of deep learning frameworks like TensorFlow or PyTorch.\nExperience with A/B testing and experimental design.\nFamiliarity with version control systems such as Git.\nSkills\ndata science, machine learning, python, pytorch, r, scikit-learn, statistical analysis, tensorflow","description_format":"text","description_chars":2701,"description_truncated":false,"requirements":{"experience_years_min":5,"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","Custom Software 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