{"id":3103601,"url":"https://alion.io/job/triplelift-senior-data-scientist","title":"Senior Data Scientist","company":{"id":685632,"name":"TripleLift","domain":"triplelift.com","url":"https://alion.io/company/triplelift","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","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":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":237000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Grafana","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"ONNX","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-22T14:33:51Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T17:12:53Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About TripleLift\nWe're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance.\nAs part of the Vista Equity Partners portfolio, we are NMSDC certified, qualify for diverse spending goals and are committed to economic inclusion. Find out how TripleLift raises up the programmatic ecosystem attriplelift.com.\nOverview\nThe Data Scientist / Machine Learning Engineer plays a critical role in improving the performance of TripleLift’s bidding algorithms and developing scalable machine learning solutions that drive better outcomes for our customers. Within the Data Science team, this role combines statistical analysis, experimentation, and machine learning engineering to uncover market insights, optimize bidding performance, and build production-ready systems.\nIn this position, you will partner closely with engineering, product management, and business stakeholders to identify opportunities, test hypotheses, and translate data-driven insights into measurable business impact. This is an exciting opportunity for someone who enjoys solving complex problems, working with large-scale datasets, and building reliable machine learning systems in a collaborative, fast-paced environment.\nResponsibilities\nDesign and run experiments to improve bidding algorithm performance and maximize outcomes for TripleLift’s customers.\nApply statistical analysis and advanced analytics techniques to understand market dynamics and deliver actionable insights and recommendations.\nDevelop, implement, and maintain scalable, production-ready machine learning pipelines and systems, applying best practices in ML engineering.\nCollaborate with engineering, product management, and business stakeholders to identify opportunities, solve challenges, and drive data-informed decisions.\nMonitor and evaluate deep learning and machine learning systems to ensure performance, reliability, and effectiveness in production environments.\nCore Technologies\nThe Data Science team uses a wide range of technologies to solve complex problems and support scalable data science and machine learning solutions. We believe in using the right tools for the right job and continually evaluating new technologies as our needs evolve.\nLanguages: Python\nFrameworks and Tools: Spark, Airflow, Databricks, ONNX, Docker\nDatabases and Data Storage: MySQL, Snowflake, Amazon S3, Parquet\n Cloud Infrastructure: Amazon Web Services (AWS)\nMachine Learning Libraries: TensorFlow, PyTorch, Scikit-learn, Spark\nMonitoring and Visualization: Prometheus, Grafana\nEducation & Requirements\nA degree in a technical or quantitative field is preferred. Candidates with relevant professional experience and degrees in other disciplines will also be considered.\nAt least five years of professional experience in data science and/or machine learning within a collaborative work environment.\nAt least two years of professional experience developing data science and machine learning models in a programmatic advertising environment.\nStrong foundation in statistical analysis, deep learning, and machine learning techniques.\nHands-on experience with TensorFlow or PyTorch to prototype models for high-volume, distributed systems.\nExperience monitoring and measuring statistical model performance using tools such as Prometheus and Grafana, including building dashboards and alerts to identify performance issues and ensure models function effectively.\nStrong organizational, communication, and attention-to-detail skills.\nAbility to work efficiently and independently with minimal oversight.\nOpenness to feedback and constructive criticism, with a commitment to continuous learning and professional development.\nStrong work ethic and a demonstrated commitment to delivering high-quality work\nLife at TripleLift\nAt TripleLift, we’re a team of great people who like who they work with and want to make everyone around them better. This means being positive, collaborative, and compassionate. We hustle harder than the competition and are continuously innovating.\nLearn more about TripleLift and our culture by visiting our LinkedIn Life page.\nEstablishing People, Culture and Community Initiatives\nAt TripleLift, we are committed to building a culture where people feel connected, supported, and empowered to do their best work. We invest in our people and foster a workplace that encourages curiosity, celebrates shared values, and promotes meaningful connections across teams and communities. We want to ensure the best talent of every background, viewpoint, and experience has an opportunity to be hired, belong, and develop at TripleLift. Through our People, Culture, and Community initiatives, we aim to create an environment where everyone can thrive and feel a true sense of belonging.\nPrivacy Policy\nPlease see our Privacy Policies on our TripleLift and 1plusX websites.\n TripleLift does not accept unsolicited resumes from any type of recruitment search firm. 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