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Data science

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🔥 Sr. Data Scientist

Posted about 8 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Measured👥 101-250💰 $21,000,000 almost 3 years agoSaaS Analytics

🔧 Requirements

5+ years of experience in data science, with a focus on marketing analytics, econometrics, or causal inference with 2+ years of direct experience in building MMMs or marketing attribution.
B.S. or higher in Mathematics, Computer Science, Statistics, Data Science, or a related quantitative field.
Strong expertise in Marketing Mix Modeling (MMM), marketing attribution, or media measurement.
Proficiency in Python, SQL, and statistical modeling techniques such as Bayesian inference, time-series forecasting, and causal inference.
Experience working with large-scale data, experimentation, and probabilistic modeling.
Strong problem-solving skills, with an ability to work independently in a fast-moving environment.
Excellent communication skills, with the ability to translate mathematical concepts into business insights for technical and non-technical audiences.
Ability to integrate and debug complex code, ensuring models operate reliably at scale.
Ability to communicate complex mathematical concepts to any audience.
Ability to integrate and debug complex code.
Independent decision maker. Can take calculated risks and deal with ambiguity.
Takes initiative to improve and try new things.
Ability to work independently with minimal supervision within a strong team environment.
Comfortable with rapid change.
Values diversity and integrity.

💡 Responsibilities

Develop and refine advanced MMM models, incorporating media variables, pricing indices, promotional schedules, holidays, macroeconomic factors, and causal inference signals.
Implement Bayesian inference, hierarchical models, and experimental design techniques to enhance MMM accuracy and insights.
Automate and optimize model training, deployment, and monitoring to support large-scale, high-frequency modeling across clients.
Collaborate with Product and Engineering teams to integrate advanced data science solutions into the Measured platform.
Interpret complex data science outputs and translate them into actionable recommendations for marketers.
Conduct R&D on emerging measurement methodologies and apply cutting-edge statistical and machine learning techniques.
Support internal teams by providing expertise on MMM results, ensuring high confidence in model outputs and business recommendations.

AWS Python SQL Data Analysis Machine Learning Data science Communication Skills Problem Solving Cross-functional collaboration Data visualization Data modeling

Posted about 8 hours ago

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🔥 Data Scientist

Posted about 8 hours ago

📍 United States

🔍 Fintech

🏢 Company: Credit Key👥 51-100💰 $15,000,000 Debt Financing over 2 years agoE-Commerce Financial Services Payments

🔧 Requirements

Bachelor’s Degree in STEM field. Master’s Degree preferred
Minimum of 2 years of experience in a Data Scientist role at a lending organization (Fintech, bank, credit union, etc.)
Prior experience with large complex time series datasets at a financial institution
Prior first line of defense credit or fraud risk management experience at a Fintech, BNPL, and/or Small Business Lending experience a plus
Experience utilizing consumer and commercial credit bureau score and tradeline data to enhance credit strategies
Deep hands-on experience in data analysis (writing your own code) utilizing tools such as Python, R, SQL, Tableau, SAS, or equivalent
Experience in financial modeling to determine business cost benefit results from A/B testing
Strong communication skills to influence key stakeholders including executive management, partner bank, and debt facility teams
A team player attitude with the ability to communicate clearly with both technical and non-technical stakeholders and handle ambiguity

💡 Responsibilities

Propose, implement, and analyze testing to further enhance key features of our credit risk framework including approvals, line assignment, pricing, and term lengths
Create new strategies to identify and mitigate fraud risk across the credit lifecycle- from new applications, to real time transaction authorizations, to account management
Partner directly with industry leading small business lending data providers to optimize use of existing data and explore and assess new data providers to improve our credit and fraud strategy performance
Create, execute, and analyze A/B testing experiments to improve credit performance
Develop, validate, and implement proprietary credit models using our unique data to drive our acquisition and account management risk strategies
Develop and execute credit and fraud risk tracking and credit bureau reporting
Work in a very cross-functional, fast paced environment with key stakeholders in Finance, Product, Marketing, and Operations

Python SQL Business Intelligence Data Analysis Machine Learning SAS EG Tableau Data science Data visualization Data modeling A/B testing

Posted about 8 hours ago

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🔥 Staff Technical Enablement Specialist

Posted about 10 hours ago

📍 United States

💸 123000.0 - 235900.0 USD per year

🔍 Data/AI

🔧 Requirements

7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
[Preferred] Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers.
[Preferred] Databricks certification or experience with Apache Spark™, MLflow, Delta Lake, and other open-source technologies.

💡 Responsibilities

Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWS Python SQL Artificial Intelligence Cloud Computing ETL Machine Learning MLFlow Cross-functional Team Leadership API testing Data engineering Data science REST API Communication Skills Data visualization Stakeholder management Data analytics

Posted about 10 hours ago

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🔥 Machine Learning Solutions Architect

Posted about 13 hours ago

📍 United States, Latin America, India

🔍 Software Development

🔧 Requirements

At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer
4-year Bachelor's degree in Computer Science or a related field
Experience deploying machine learning models in a production setting
Expertise in Python, Scala, Java, or another modern programming language
The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
Hands-on experience in one or more big data ecosystem products/languages such as Spark, Snowflake, Databricks, etc.
Familiarity with multiple data sources (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP)
Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), and storage systems (e.g., AWS, Databricks, Cloudera)
Production experience in core data technologies (e.g. Spark, HDFS, Snowflake, Databricks, Redshift, & Amazon EMR)
Development of APIs and web server applications (e.g. Flask, Django, Spring)
Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment
Excellent communication and presentation skills; previous experience working with internal or external customers

💡 Responsibilities

Design and create environments for data scientists to build models and manipulate data
Work within customer systems to extract data and place it within an analytical environment
Learn and understand customer technology environments and systems
Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
Demonstrate the business value of data by working with data scientists to manipulate and transform data into actionable insights
Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models
Partner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle
Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
Ensure the quality of the delivered product

AWS Docker Python Software Development SQL Cloud Computing Data Analysis ETL Hadoop Java Keras Kubernetes Machine Learning MLFlow Snowflake Software Architecture Algorithms API testing Data engineering Data science REST API Spark Tensorflow Communication Skills Analytical Skills CI/CD Linux DevOps Presentation skills Excellent communication skills Scala Data modeling Debugging

Posted about 13 hours ago

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🔥 Senior Product Manager, Optimize

Posted about 15 hours ago

📍 United States, Canada

🧭 Full-Time

💸 139000.0 - 248000.0 USD per year

🔍 Software Development

🔧 Requirements

Have strong stakeholder management experience leading products that support multiple customer personas.
Have led multi-disciplinary development teams in high-growth startup environments.
Are deeply empathetic and passionate about understanding user needs and transforming them into tangible product features.
Have a strong technical acumen and can articulate complex technical concepts in simple terms.
Possess a 'test and learn' mentality and are comfortable working in a fast-paced, dynamic, and evolving environment.
Can balance big-picture thinking with deep-dive analysis and attention to detail.
Are experienced in agile methodologies and can adapt to changing priorities.
Have a strong understanding and appreciation of design aesthetics and principles.
Have excellent problem-solving skills, with a creative and analytical mindset.
Are comfortable giving and receiving constructive feedback to continuously improve and encourage growth.
Have excellent leadership skills, with the ability to inspire and motivate a team towards achieving a common goal.
Are adept at navigating and managing through ambiguity and complexity.
Excel at translating complex technical concepts into easy-to-understand, intuitive, and user-friendly interfaces.
Have experience with Webflow and other web design and development tools.
Have a passion for empowering creators and democratizing the web design and development process.

💡 Responsibilities

Advance the vision, strategy, and execution of Webflow Optimize.
Collaborate with cross-functional partners, including design, engineering, user research, data science, sales, education, and community teams to identify and define features that improve the product experience.
Conduct research and data analysis to understand user needs, pain points, and behaviors.
Prioritize product backlog and manage roadmap based on strategic priorities, user needs, and market trends.
Develop and articulate compelling value propositions to stakeholders.
Define, track, and analyze key product metrics to inform decision-making and measure success.
Advocate for our users and drive product improvements based on user feedback and data.
Collaborate on go-to-market strategies for product features and updates, working in close collaboration with our product marketing team.

Leadership Agile Data Analysis HTML CSS Javascript Product Management User Experience Design Cross-functional Team Leadership Product Development Product Analytics Data science Communication Skills Analytical Skills Agile methodologies RESTful APIs Problem-solving skills Data visualization Stakeholder management Strategic thinking A/B testing

Posted about 15 hours ago

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🔥 VP of Product, Search, AI and GenAI

Posted about 16 hours ago

📍 United States of America

💸 195900.0 - 351800.0 USD per year

🔍 FinTech SaaS

🏢 Company: datasite

🔧 Requirements

10+ years of experience in Product Management, with at least 5 years leading AI, search, or ML-driven products in enterprise SaaS, FinTech, or a similar complex domain.
Proven leadership experience at the VP or senior director level, managing and scaling high-performing product teams.
Deep expertise in AI, GenAI, and search technologies, including NLP, information retrieval, vector search, embeddings, LLMs, and ranking models.
Strong track record of delivering AI-powered products to market, with measurable business and customer impact.
Experience balancing AI innovation with compliance, security, and risk management in a regulated industry.
Exceptional data-driven decision-making skills, leveraging analytics, A/B testing, and experimentation to drive growth and engagement.
Deep understanding of enterprise B2B workflows, particularly in financial services or dealmaking environments.
Excellent executive communication and stakeholder management skills, with the ability to align cross-functional teams and influence strategic decisions.
Strong technical acumen; ability to partner effectively with engineering and data science teams.

💡 Responsibilities

Define and execute a comprehensive AI and search strategy, aligning with Datasite’s long-term business objectives and competitive differentiation.
Identify and drive high-impact AI and search initiatives, ensuring that our platform remains at the forefront of innovation in FinTech SaaS.
Build and lead a world-class product team, including Product Managers, Data Scientists, Engineers, and UX Researchers, fostering a culture of innovation, collaboration, and execution.
Partner closely with executive leadership to define investment priorities, ensuring strategic allocation of resources.
Own the product roadmap for AI, GenAI, and search, balancing short-term deliverables with long-term innovation.
Drive AI and ML-driven product enhancements that improve search relevance, document understanding, automation, and predictive insights for dealmakers.
Lead cross-functional teams to develop and ship scalable AI-powered solutions that address complex customer pain points while ensuring ease of adoption.
Develop AI governance frameworks that balance innovation with regulatory compliance, security, and ethical AI practices.
Establish data-driven KPIs and OKRs to measure the success of AI and search initiatives.
Foster a culture of experimentation and rapid iteration, leveraging A/B testing and continuous learning to refine AI models and user experiences.
Partner with Data Science and Engineering to ensure high-quality AI model training, deployment, and monitoring for accuracy, fairness, and bias mitigation.
Act as the voice of the customer, deeply understanding user workflows, search behaviors, and pain points to inform AI-driven product innovations.
Stay ahead of industry trends, emerging AI technologies, and FinTech developments, ensuring Datasite’s competitive advantage.
Conduct customer discovery and market research, translating insights into actionable product strategies.
Partner closely with Engineering, Data Science, UX, and GTM teams to deliver AI-driven solutions that enhance dealmaking productivity.
Influence executive stakeholders by effectively communicating the strategic and financial impact of AI investments.
Ensure that AI and GenAI solutions comply with data privacy, security, and industry regulations to protect client confidentiality.
Represent Datasite as a thought leader in AI-driven dealmaking, search, and automation, speaking at industry events and engaging with key customers.
Mentor and develop high-performing AI and product talent, building a best-in-class AI and search organization.

AWS Leadership Python SQL Artificial Intelligence Data Analysis Machine Learning People Management Product Management Cross-functional Team Leadership Product Development Data science Strategic Management A/B testing

Posted about 16 hours ago

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🔥 Software Engineer for Training AI Data - Python, Belgian Dutch Language

Posted about 16 hours ago

📍 Belgium

🧭 Contract

🔍 Software Development

🔧 Requirements

3+ years of experience in a software engineering/software development role
Complete fluency in the English language
Proficiency with Python

💡 Responsibilities

Evaluating the quality of AI-generated code, including human-readable summaries of your rationale
Solve coding problems, writing functional and efficient code
Writing robust test cases to confirm code works efficiently and effectively

Python Software Development Machine Learning Data science REST API Communication Skills Analytical Skills Problem Solving Fluency in English Software Engineering

Posted about 16 hours ago

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🔥 Software Engineer for Training AI Data - Python, Dutch Language

Posted about 16 hours ago

📍 Netherlands

🧭 Contract

🔍 Software Development

🔧 Requirements

3+ years of experience in a software engineering/software development role
Complete fluency in the English language
Proficiency with Python

💡 Responsibilities

Evaluating the quality of AI-generated code, including human-readable summaries of your rationale
Solve coding problems, writing functional and efficient code
Writing robust test cases to confirm code works efficiently and effectively

Python Data science Analytical Skills Problem Solving RESTful APIs Fluency in English Writing Software Engineering

Posted about 16 hours ago

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🔥 Head of Applied AI

Posted 1 day ago

📍 United States

🔍 Life Sciences

🏢 Company: TetraScience👥 101-250💰 $80,000,000 Series B almost 4 years agoPharmaceutical Biotechnology Data Management Internet of Things Life Science Data Integration Software

🔧 Requirements

15+ years of hands on experience in building data engineering platform, and AI/ML solutions, with a substantial portion in life sciences
Proven ability to define and drive AI strategy within a life sciences organization
Proven track record of deploying AI models and Use cases in production, addressing real-world biological and other life science problems
Deep understanding of life sciences domains such as: Drug development pipelines, Assay / test method development areas such as HTS, DMPK etc., Regulatory and compliance framework
Experience in managing AI initiatives from concept to deployment
Proven track-record of success developing product strategy within a start-up environment
Strong knowledge of machine learning (ML) and artificial intelligence (AI) methods, including: Deep Learning (DL), Reinforcement Learning (RL), Natural Language Processing (NLP), Computational biology and statistical modeling
Proficiency in programming languages and tools such as Python, R, TensorFlow, PyTorch etc.
Significant experience with AWS, Services-Architecture and web-scale design patterns
Excellent communication skills to convey complex technical concepts to non-technical stakeholders
Experience in collaborating with external partners and customers
Ability to advocate and evangelize for AI initiatives internally and externally

💡 Responsibilities

Own, define, and execute the technical and product vision for Applied AI solutions
Support and advise executive leadership regarding technical and commercial feasibility
Identify business opportunities and develop AI-driven solutions
Understand the commercial impact of AI in life sciences (e.g., improving R&D efficiency, reducing costs, accelerating time-to-market)
Provide key inputs into technology evaluation and technology planning activities
Provide thought leadership and represent TetraScience at industry and technology conferences
Collaborate with the customers and productize solutions
Collaborate with cross functional teams to build and evangelize the solutions
Provide hands on technical leadership for the SAIL (Scientific AI Leadership) team

AWS Backend Development Leadership Project Management Python SQL Artificial Intelligence Cloud Computing Machine Learning Product Management PyTorch Software Architecture Cross-functional Team Leadership Data engineering Data science Tensorflow Communication Skills RESTful APIs Microservices Strategic thinking Data modeling

Posted 1 day ago

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🔥 Senior AI Architect

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 118000.0 - 231000.0 USD per year

🔍 Software Development

🏢 Company: MongoDB👥 1001-5000💰 Post-IPO Equity about 7 years agoDatabase Open Source Cloud Computing SaaS Software

🔧 Requirements

5+ years of progressive hands-on experience in any of the following; solution architecture, enterprise architecture, data science, AI/ML and/or software development, including 2+ years of hands-on experience in designing, building, and delivering AI-powered solutions, with a deep focus on GenAI technologies
Demonstrated thought and technical leadership in AI/GenAI technologies with experience in presenting from conferences to the board room, you have the ability to influence AI strategy and advocate best practices at C-suite whilst hands on to demonstrate the value of your ideas
Experience of building cloud-native applications using modern methodologies, test-first development, CI/CD pipelines, and microservices architectures
Good understanding of LLM architectures, vectorisation, and experience in designing Retrieval-Augmented Generation (RAG) systems for real-time applications with hands-on experience in AI/ML frameworks and tools, for example, Llamaindex, Hugging Face, LangGraph, LangChain, Pydantic, Cursor, TensorFlow, and PyTorch
Experience with cloud AI services (AWS Bedrock, Azure AI, GCP Vertex AI)
Proficiency in at least one modern programming language (ideally Python), with experience in one other modern language a plus (e.g., Node.js, Java, C#)
Experience in deploying cutting-edge GenAI technologies and LLMs, driving innovation in high-uncertainty projects
Ability to connect AI solutions to business outcomes, driving measurable value through data-driven innovation and strategic technology integration
Strong communication and leadership skills, with the ability to inspire confidence, challenge assumptions, and influence executive stakeholders
Proven ability to lead agile teams, driving backlog grooming, sprint planning, and showcases in collaboration with Product Owners and cross-functional teams
Ability to work remotely with a willingness to travel (up to 20%) for high-impact, in-person customer engagements

💡 Responsibilities

Take an “AI First” mindset, leveraging the latest GenAI technologies and solution partners to design, prototype, and implement high-impact AI solutions that solve real customer problems and drive tangible business value
Jump into customer scenarios, understanding their use case, scoping effort in supporting customers and rapidly ideate what the solution should be, innovating quickly and demonstrating the value of our technology and services
Engage directly with C-suite customer stakeholders, addressing complex business challenges through AI concepts and solutions, ensuring alignment on solution design and delivery
Quickly build prototypes and proofs of concepts using GenAI-assisted development tools, showcasing the art of the possible to customers and iterating based on feedback
Own the end-to-end design and delivery of scalable AI architectures, from data pipelines to model deployment, ensuring performance, security, and scalability at every step
Write production-quality code in modern languages (e.g., Python, Node.js, Java) to build, fine-tune, and deploy RAG architectures, LLMs and AI models, using frameworks like LangChain, TensorFlow, PyTorch, and Hugging Face
Architect data pipelines and modern data layers using MongoDB Atlas Vector Search, enabling real-time, AI-driven applications
Provide authoritative technical direction to delivery teams, ensuring architectural consistency and high-quality AI solutions that align with customer objectives
Define scope, estimate effort, and deliver product increments that align with customer business priorities, ensuring high-velocity, outcome-focused delivery
Stay ahead of the curve by experimenting with emerging GenAI techniques, optimizing development processes, and driving the adoption of best practices in responsible AI
Contribute to ongoing development of a repository of reusable solution components, including reference architectures, GenAI blueprints, and AI-driven application modules, to accelerate delivery
Actively participate in the MongoDB and GenAI communities, sharing insights, driving best practices, and influencing the direction of AI-driven solutions

AWS Leadership Node.js Python Software Development Artificial Intelligence Cloud Computing Java Kubernetes Machine Learning MongoDB PyTorch Software Architecture Data science REST API Tensorflow Communication Skills CI/CD Agile methodologies DevOps Microservices

Posted 1 day ago

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