The role involves optimizing fraud detection models and policies using diverse data points on the Dynamic Decision Platform. It also requires scoping and delivering customer-focused analytical projects and presenting complex data patterns to non-technical audiences.
Remote Data Scientist Jobs (782)
Search = Data Scientist
The role involves automating data collection processes and developing predictive models using various algorithms. The candidate will work within a dynamic team of data experts on various projects across Portugal.
You will be embedded in one of Jerry's core business areas and own the analytical function for that unit end-to-end. This includes defining problems, running analyses, and driving outcomes based on data insights.
You will be embedded in one of Jerry's core business areas and own the analytical function for that unit end-to-end. This includes defining problems, running analyses, and driving outcomes based on data insights.
Lead the development and scaling of GenAI-powered chatbots to provide personalized health and wellbeing interventions for adolescent girls. Collaborate with technical teams and subject matter experts to design safe, behavioral-science-rooted conversational pathways.
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Build and improve end-to-end sensitive data detection models by curating training datasets and tuning production models. Collaborate with engineering and product teams to iterate on model performance based on real-world customer feedback.
Develop advanced analytical solutions and machine learning models to support trade enforcement and national security missions for CBP. Transform complex datasets into actionable intelligence and dashboards to improve operational effectiveness and decision-making.
Build and deploy models for matching, recommendation, and ranking to connect job seekers with appropriate skills and pathways. Collaborate with Engineering and Product teams to move models into production and translate complex data into actionable insights.
Develop and implement innovative market data solutions by leveraging data assets to create strategic opportunities. Collaborate with customers, sales, and engineering teams to transform complex data into compelling narratives for stakeholders.
Build predictive models and use advanced data analytics to optimize lending decisions and understand consumer risk behavior. Develop automated reporting dashboards and collaborate with engineering teams to implement models and technical tools.
Lead the development and delivery of GenAI applications for the global marketing organization. Architect complex data science algorithms and mentor junior data scientists to ensure enterprise compliance and performance.
The role involves developing and validating statistical and machine learning models for media measurement and data solutions. You will analyze large datasets to identify trends and communicate insights through visualizations to cross-functional teams.
Advise leadership on business conditions, customer needs, and the competitive landscape using data analytics. Drive evidence-based, timely decision making to redefine mobility through quality metrics and insightful analysis.
Design and build intelligent systems for extraction, classification, and entity resolution to power commercial and financial graphs. Own the end-to-end lifecycle of models and pipelines that transform unstructured enterprise data into actionable intelligence.
Build and productionize machine learning models for segmentation, churn, LTV, and personalized recommendations. Collaborate with Product, Engineering, and BI teams to turn business goals into scalable ML systems and monitor their performance.
Develop and deploy machine learning models to score landing page visitors and optimize lead generation through real-time scoring pipelines. Collaborate with cross-functional teams to transform raw behavioral data into actionable insights and statistically sound business decisions.
Develop and maintain statistical and machine learning models to support business forecasting and data-driven decision-making. Collaborate with cross-functional stakeholders to translate business questions into actionable analytical insights and production-ready solutions.
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Build and productionize machine learning models for segmentation, churn, LTV, and recommendations to drive customer growth. Collaborate with Product, Engineering, and BI teams to turn business goals into scalable ML systems and monitor their performance.
Design, build, and optimize machine learning models for credit origination, behavioral scoring, and limit management. Collaborate with cross-functional teams to implement scalable infrastructure for model deployment and monitoring.
Design, build, and optimize machine learning models for credit risk, including origination and behavioral scoring. Collaborate with cross-functional teams to implement infrastructure for model deployment, monitoring, and retraining at scale.
Data Scientist
Chattermill Analytics Limited
·
Full Time
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2 Weeks Ago
Chattermill Analytics Limited
Train and iterate on custom ML models for customer feedback tasks including extraction, retrieval, and sentiment analysis. Build LLM-powered features and evaluation frameworks while collaborating with engineering to integrate models into production pipelines.
Develop best practices for instrumentation and experimentation to improve product creation and development. Build and prototype analysis pipelines to provide scalable insights and collaborate with cross-functional partners to influence product strategy.
The Data Scientist supports the Responsible AI program by embedding with AI Factory teams to ensure GenAI applications are safe, transparent, and measurable. Key duties include executing evaluations for hallucination and fairness, developing benchmark datasets, and prototyping emerging RAI techniques.
Design and implement scalable data science approaches to automate business decision-making and solve complex problems. This includes building ETL processes, developing machine learning models, and collaborating with stakeholders to deliver production-ready AI solutions.
Lead the end-to-end development of machine learning and statistical models from problem framing to production handoff. Serve as the technical lead for projects, translating business questions into modeling problems and designing robust evaluation frameworks.
Analyze large datasets to identify trends and build statistical models for business planning accuracy. Develop data pipelines and collaborate with cross-functional teams to deliver data-driven solutions and automation.
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Build, validate, and deploy statistical and machine learning models including anomaly detection and generative AI. Collaborate with cross-functional teams to translate strategic business questions into scalable, production-ready data solutions.
Develop and optimize machine learning models to improve recommendation systems for gifts and coins to drive product growth and monetization. Collaborate with cross-functional teams to implement MLOps best practices and deploy production-ready models.
Develop evaluation frameworks and metrics to ensure the safety and quality of autonomous vehicle performance and simulation. Collaborate with engineering and product teams to solve ambiguous data problems and facilitate deployment readiness.
Design, implement, and support AI-enabled products for the elluminate software platform using clinical trial data. Collaborate with stakeholders to develop predictive models and mentor team members in building AI solutions.
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