Senior Data Scientist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8cv8mq

pSenior Data Scientist is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in Italy. This is a senior, hands-on data science role focused on improving the accuracy and intelligence of a high-volume, real-time identification platform. You’ll work with complex, noisy, and often unlabeled data to develop machine learning approaches that distinguish browsers and devices with greater precision. The role combines advanced machine learning, statistical analysis, experimentation, and backend engineering in a highly technical environment. You’ll own projects from initial research and experimentation through production deployment and integration with real-time services. You’ll also help shape engineering practices, data-driven decision-making, and effective approaches to machine learning across the wider team. This is a fully remote opportunity suited to someone who enjoys solving challenging problems where research, software engineering, and applied ML meet. /p h3Accountabilities /h3 ul liDevelop data-driven algorithms using raw, noisy, and unlabeled data to improve browser and device identification capabilities. /li liDesign and implement supervised, semi-supervised, and unsupervised machine learning approaches, including methods for high-cardinality categorical data. /li liOwn data science initiatives end to end, from problem definition and experimentation through production deployment and integration with real-time services. /li liDesign experiments and technical solutions for real-time inference, model-to-service integration, training automation, and other machine learning engineering challenges. /li liConduct exploratory data analysis to investigate business and technical questions, identify anomalies, and evaluate model and dataset performance. /li liDevelop practical approaches for collecting and evaluating data when labeled datasets are limited or unavailable. /li liContribute to an engineering-focused, data-driven culture by sharing tools, methodologies, and effective data science practices with colleagues. /li liCollaborate across data science and engineering functions to turn machine learning concepts into reliable, production-ready services. /li liParticipate in a shared on‑call rotation, with schedules communicated in advance and coverage designed to minimize disruption outside normal working hours.



/li /ul h3Requirements /h3 ul li5+ years of professional experience spanning machine learning, data science, and backend development or closely related engineering disciplines. /li liAdvanced knowledge of machine learning fundamentals and statistical methodologies. /li liStrong practical experience with supervised learning, including gradient boosting and approaches for high‑cardinality categorical data. /li liHands‑on experience with semi‑supervised and unsupervised learning techniques. /li liStrong exploratory data analysis and creative problem‑solving skills, particularly when working with incomplete, noisy, or unlabeled datasets. /li liProven experience developing real‑time machine learning services, including model inference and integration between models and production applications. /li liAbility to transform machine learning models into minimum viable real‑time web services and production‑ready solutions. /li liExcellent coding and software engineering skills, including strong SQL capabilities and familiarity with Git, CI/CD pipelines, IDEs, and shell scripting. /li liStrong communication skills and fluent English, with the ability to collaborate effectively in a distributed international environment. /li liA research mindset and academic background are advantageous. /li liExperience with Go and backend development is a plus. /li liFamiliarity with analytical data platforms such as ClickHouse, Snowflake, or BigQuery is beneficial. /li liExperience with data transformation frameworks such as dbt, visualization tools such as Superset, Tableau, or Looker, or vector databases such as Pinecone, FAISS, or Qdrant is a plus. /li liExperience building embedding‑based search systems is advantageous. /li liFamiliarity with technologies such as Go, SQL, advanced ML frameworks, ClickHouse, dbt, and AWS is beneficial. /li /ul h3Benefits /h3 ul liCompetitive compensation,



with the source role indicating a US cash compensation range of $152,000–$205,000 USD; compensation ranges are location‑specific and may differ for candidates based in India. /li liFully remote working environment. /li liOpportunity to work on challenging machine learning problems involving real‑time systems, large‑scale data, and advanced device intelligence. /li liExposure to modern machine learning, data engineering, backend development, and cloud infrastructure technologies. /li liOpportunity to contribute to technical strategy and influence engineering and data science practices. /li liCollaboration with a globally distributed team. /li liInclusive environment that values diverse experiences, perspectives, and backgrounds. /li liCandidates must be authorized to work from their home location; visa sponsorship is not provided. /li liParticipation in a shared on‑call rotation with advance scheduling and an effort to balance coverage fairly while minimizing off‑hours disruption. /li /ul h3How Jobgether Works /h3 pWe use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. /p pWe appreciate your interest and wish you the best! /p h3Why Apply Through Jobgether? /h3 pData Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. /p pWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8cv8mq