{"id":2506897,"url":"https://alion.io/job/matrix-ifs-senior-data-scientist","title":"Senior Data Scientist","company":{"id":4430251,"name":"page - Matrix","domain":"matrix-ifs.com","url":"https://alion.io/company/matrix-ifs","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":203000,"period":"year","method":"global_role_seniority_cell","sample_n":2324},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Trino","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-12T15:40:38Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-15T22:01:48Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Description\nMatrix IFS is looking for a Data Scientist, the job involves working with client data to develop and implement fraud detection models, which includes data cleaning, feature engineering, and model tuning. Responsibilities also include collaborating with clients and internal teams, communicating findings, and contributing to product development by creating scalable data pipelines and improving processes.\nKey skills required are proficiency in Python (including libraries like NumPy, Pandas, and scikit-learn), machine learning, distributed computing (like PySpark), and strong communication abilities.\nCore responsibilities\nData analysis and modeling: Understand client data, perform data cleaning and preprocessing, and develop and tune machine learning models.\n Collaboration: Work with internal teams (Product, Research) and external stakeholders (clients) to understand business objectives and ensure client success.\nTechnical leadership: Provide technical guidance, drive project execution, and contribute to building scalable data pipelines and prototypes.\nProduct development: Help improve the product by contributing to solution development, keeping up with fraud prevention trends, and creating generalized product enhancements.\nCommunication: Clearly communicate complex findings and strategies to both technical and non-technical audiences. \nKey skills and qualifications\n Programming: Strong proficiency in Python, including scientific stack libraries (NumPy, Pandas, SciPy, scikit-learn) and experience with distributed computing tools like PySpark.\nMachine Learning: Expertise in machine learning concepts and algorithms.\n Data Manipulation: Experience with data cleaning, feature engineering, and building scalable data pipelines (e.g., with Airflow and Trino).\nCommunication: Excellent verbal and written communication skills to explain complex ideas to various stakeholders.\nAnalytical: Strong analytical and problem-solving skills to tackle complex financial crime challenges.\nEducation: A degree in a quantitative field like Computer Science, Statistics, Applied Mathematics, or a related area is often required.\nWhy Join Us?\nYou’ll work with a talented global team, contribute to meaningful technical initiatives, and help shape a high-performing DevOps culture.\nMatrix is a global, dynamic, and fast-growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.\nWe specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.\nWith deep expertise across both the private and public sectors-spanning Finance, Telecom, Healthcare, Hi-Tech, Education, Defense, and Security -Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio.\nAt Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.\nMatrix’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth-together.\nJoin the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.\nTo learn more, visit: www.matrix-ifs.com\nEQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. 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