841 Data Scientist jobs available for remote work from home. Apply for positions such as Data Scientist - Supply Chain Optimisation, Microbiome Data Scientist, Sr./Staff Data Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design and implement advanced optimization models to improve supply chain performance, cost efficiency, and sustainability. Develop algorithms and analytical solutions to solve complex problems in procurement, planning, and logistics.
Analyze complex microbiome datasets using statistical and machine learning methods to support research and product development. Prepare data visualizations, reports, and scientific publications while collaborating with microbiome experts.
Develop and implement advanced fraud detection models using machine learning and statistical techniques to protect the platform. Collaborate with cross-functional teams to analyze large datasets and optimize fraud prevention strategies.
The role involves managing the development, validation, and performance monitoring of internal credit risk models for consumer portfolios. It also requires providing oversight of partner models and ensuring alignment with regulatory requirements and organizational risk appetite.
![Software Mind is hiring for remote [8BE] Data Scientist (AI + ML)](/assets/2083550c-5c59-4fae-b76e-a23e4817e5f2.jpeg){kind=small}
Design, validate, and productionize probabilistic models to support e-commerce decisioning under uncertainty. Collaborate with backend engineering to integrate these statistical models into a distributed microservices architecture.
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Lead the end-to-end lifecycle of AI projects, including LLMs, RAG architectures, and agentic workflows from experimentation to production. Collaborate with product managers and domain experts to design scalable AI solutions while contributing directly to software development.
Lead the end-to-end lifecycle of AI projects, including LLMs, RAG architectures, and agentic workflows from experimentation to production. Collaborate with product managers and domain experts to design scalable AI solutions while contributing directly to software development.
The Senior Data Scientist will advance Contact Intelligence as an enterprise capability by identifying high-value use cases and operationalizing insights across the organization. This role involves partnering with cross-functional stakeholders to develop analytical frameworks, measure business impact, and scale AI-driven solutions.
The Senior Data Scientist will design and deploy large-scale experiments for retail clients while developing standardized measurement methodologies. They will also collaborate with cross-functional teams to conduct deep-dive analyses and provide data-driven business solutions.
You will characterize conversational data to identify valuable insights and design active-learning loops to improve model performance. Additionally, you will build scalable data pipelines and develop methodologies to ensure representative benchmarking across diverse real-world speech conditions.
The Data Scientist will analyze complex microbiome datasets to support research questions and develop novel biomarkers using statistical and machine learning methods. They will also contribute to scientific publications, product development, and the preparation of clinical study reports.
Design and implement AI and machine learning solutions to improve healthcare, public health, and operational decision-making. Collaborate with multidisciplinary teams to develop scalable data pipelines and deploy production-ready AI models using modern MLOps practices.
Design, develop, and validate advanced time series forecasting models using Transformer-based architectures. Translate complex forecasting results into actionable business insights and marketing strategies.
Analyze manufacturing and quality datasets to build predictive models that optimize production throughput and equipment health. Collaborate with engineering and operations teams to translate data insights into actionable improvements for factory processes.
You will lead the development of AI-powered topic analytics solutions using machine learning, NLP, and large language models. Additionally, you will design scalable pipelines to process large volumes of customer experience data and develop experimentation frameworks to optimize model performance.
Design and conduct statistical modeling, experimentation, and A/B testing to drive business insights and decision-making. Partner with stakeholders to translate business requirements into actionable analytical solutions and communicate findings clearly.
You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
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You will design, build, and deploy ML/LLM-powered services to enhance intelligent automation across the Workato platform. Additionally, you will collaborate with cross-functional teams to define product metrics, conduct experiments, and optimize system performance.
The Senior Data Scientist will lead complex data analysis projects using standard modeling, data transformation, and Generative AI techniques. Responsibilities include presenting solutions to C-level stakeholders, creating reusable documentation, and mentoring team members on data science tasks.
The Data Scientist will develop and scale statistical and machine learning models to quantify uncertainty and support business management decisions. They will also serve as a technical expert, mentoring junior staff and communicating complex analytical findings to executive audiences.
You will build and ship machine learning and generative AI systems across the full lifecycle from research to production. You will also partner with cross-functional teams to ensure AI capabilities are effectively deployed, monitored, and maintained.
Develop machine learning, NLP, and Generative AI solutions focused on conversational analytics and large language models. Design and optimize prompts while building scalable data pipelines for processing conversational and unstructured text data.
Develop and scale statistical and machine learning models to quantify uncertainty and support business decision-making. Collaborate with cross-functional teams to provide strategic analysis and communicate complex findings to executive audiences.
Develop, enhance, and support predictive and prescriptive models to solve complex business problems while ensuring data quality and integrity. Collaborate with business and technology stakeholders to translate analytical findings into actionable recommendations and integrate models into production environments.
The Lead Data Scientist develops and maintains complex data sets to create analytic solutions, reports, and models that support business strategy. They also advise executives on functional strategies and partner with cross-functional teams to drive operational consistency and compliance.
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The Senior Data Scientist will develop models and optimization approaches to improve marketing performance and spend allocation. They will also design AI-enabled decision systems and lead experimentation to drive data-informed business actions.
You will lead end-to-end AI, ML, and NLP initiatives, from model development and deployment to long-term production maintenance. Additionally, you will partner with engineering and clinical teams to define technical strategy, mentor peers, and ensure solutions meet healthcare compliance and performance standards.
The Junior Data Scientist assists in analyzing large datasets and developing predictive models for underwriting, pricing, and claims. They also collaborate with cross-functional teams to translate business problems into data-driven solutions and maintain model performance.
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