{"id":2782245,"url":"https://alion.io/job/depository-trust-clearing-corporation-data-science-associate","title":"Data Science Associate","company":{"id":1759477,"name":"Depository Trust & Clearing Corporation","domain":"dtcc.com","url":"https://alion.io/company/dtcc-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":78,"open_postings":83,"ghost_share":0.012,"stale_share":0.843,"repost_share":0.012,"time_to_fill_p50_days":36,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","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":13500,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-10T11:01:23Z","employer_posted_date":"2026-07-10","last_verified_at":"2026-10-18T14:42:26Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":99},"description":"Are you ready to make an impact at DTCC?\nDo you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.\nThe Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.\nPay and Benefits:\nCompetitive compensation, including base pay and annual incentive\nComprehensive health and life insurance and well-being benefits, based on location\nPension / Retirement benefits\nPaid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.\n DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).\nThe Impact you will have in this role:\nWe are seeking a Data Scientist to analyze data, develop machine learning models, and generate insights that support business decision-making. The ideal candidate will have experience in data analysis, predictive modeling, data visualization, and emerging Generative AI technologies.\nYour Primary Responsibilities:\nAnalyze large datasets using Python, SQL, Pandas, and NumPy. \nBuild, train, validate, and evaluate machine learning models for business use cases. \nDevelop dashboards and reports using Power BI to communicate insights. \nPrepare and transform data through cleaning, feature engineering, and quality checks. \nApply statistical techniques and conduct A/B testing to measure business outcomes. \nWork with cloud-based data platforms such as AWS and Snowflake. \nUtilize Generative AI concepts, including prompt engineering and Large Language Models (LLMs). \nEnsure data quality, governance, and responsible AI practices are followed. \nPresent findings and recommendations through clear data storytelling. \nCollaborate with cross-functional teams in an Agile environment.\nQualifications:\nMinimum of 4 years of related experience\nBachelor's degree preferred or equivalent experience.\nTalents Needed for Success:\nExperience with Python and SQL for data analysis and model development. \nStrong knowledge of Pandas, NumPy, and machine learning techniques (Regression, Classification, and Clustering). \nExperience with Power BI or similar visualization tools. \nUnderstanding of data preparation, feature engineering, and model evaluation. \nKnowledge of AWS, Snowflake, and cloud analytics platforms. \nFamiliarity with GenAI concepts, prompt engineering, and LLMs. \nStrong analytical, problem-solving, and communication skills.\nActual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. 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