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🔥 Data Analyst (Product Analytics Focus with Cross-Functional Collaboration)

Posted about 4 hours ago

📍 United States

🔍 Software Development

🏢 Company: Servant👥 11-50 Consulting Advice Professional Services

🔧 Requirements

Advanced SQL skills for querying complex datasets, optimizing performance, and building custom data models.
Proficiency in Python for data manipulation, statistical analysis, automation, and developing quick ETL workflows.
Experience with product analytics tools such as Google Analytics, Amplitude, Mixpanel, or similar platforms.
Familiarity with UI/UX analytics, including heatmaps, clickstream analysis, and user flow tracking.
Expertise in creating dashboards and reports using Tableau, Power BI, or other visualization tools.
Strong foundation in statistical analysis, A/B testing, and experimentation methodologies.
Experience with cohort analysis, retention analysis, and growth metrics to support business growth initiatives.
Proven ability to work effectively with diverse stakeholders across Product, Marketing, Finance, Operations, and Donor Development.

💡 Responsibilities

Analyze user behavior, feature adoption, retention trends, and app engagement to identify opportunities for product improvement.
Conduct cohort analyses, funnel tracking, and A/B test evaluations to measure the impact of product changes and experiments.
Partner with Product Managers to translate business questions into analytical solutions, providing data-driven recommendations to influence product strategy.
Collaborate with teams across Marketing, Finance, Operations, Donor Development, and other departments to understand their data needs and deliver actionable insights.
Support marketing initiatives with campaign performance analysis, segmentation strategies, and conversion tracking.
Provide financial analysis support related to donation trends, revenue forecasts, and operational efficiency metrics.
Contribute to donor analytics by tracking engagement, retention, and giving patterns to optimize fundraising strategies.
Write complex SQL queries to extract, manipulate, and analyze large datasets from Snowflake, BigQuery, and other data sources.
Use Python for data wrangling, statistical analysis, automation of repetitive tasks, and developing quick ETL pipelines as needed.
Independently identify and implement solutions to data challenges, minimizing dependencies on Data Engineers.
Design and build interactive dashboards in Tableau, Power BI, or custom solutions to visualize key KPIs such as MAUs, donation trends, campaign performance, and operational metrics.
Automate reporting processes to improve efficiency, reduce manual errors, and ensure consistent access to up-to-date data.
Continuously improve dashboards based on user feedback and evolving business needs, ensuring insights are both accessible and impactful.
Leverage product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel) to analyze user interactions and behaviors within digital products.
Conduct heatmap analyses, clickstream tracking, and user journey mapping to identify friction points and areas for optimization.
Provide data-driven recommendations to Product and Design teams to enhance user experiences and improve conversion rates.
Design, implement, and analyze A/B tests to evaluate new product features, marketing campaigns, and operational changes.
Develop statistical models to forecast user growth, donor retention, and revenue trends based on historical data and predictive analytics.
Recommend growth strategies backed by data-driven experimentation and robust analysis.
Ensure data accuracy, consistency, and reliability across all reports and analyses by implementing data validation checks and monitoring data pipelines.
Partner with the Data Architect and Data Governance Lead to uphold data standards and best practices across the organization.
Proactively identify and resolve data discrepancies, ensuring high data integrity in all outputs.
Stay current on emerging trends in product analytics, data science, and business intelligence tools.
Experiment with new technologies, programming languages, and analytical methods to continuously enhance data capabilities.
Share knowledge and best practices with the broader ACoE team, contributing to a culture of continuous improvement and data literacy across the organization.

Python SQL Business Intelligence Data Analysis ETL Numpy Snowflake Google Analytics Amplitude Analytics Tableau Product Analytics REST API Pandas Communication Skills Analytical Skills CI/CD Problem Solving Written communication Reporting JSON Cross-functional collaboration Data visualization Financial analysis Data modeling A/B testing

Posted about 4 hours ago

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🔥 Senior Software Engineer, AI

Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

5+ years of engineering experience
Excitement for product-focused application of ML/AI - this will be a production-focused role
Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
Experience in developing, testing, evaluating and deploying ML models
Ability to collaborate on all aspects of product strategy and UX
Experience shaping an early stage tech stack and product, and engineering organization

💡 Responsibilities

Be an essential technical contributor at a Series B company as it scales.
Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches.
Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor.

AWS Backend Development GraphQL PostgreSQL Python SQL Artificial Intelligence Cloud Computing Data Analysis Data Mining Full Stack Development Git Keras Machine Learning Numpy PyTorch React.js Software Architecture TypeScript Data engineering REST API Pandas React Tensorflow CI/CD DevOps NodeJS Software Engineering

Posted about 5 hours ago

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🔥 Senior Machine Learning Engineer

Posted about 5 hours ago

📍 USA

🧭 Full-Time

🔍 Audit and advisory

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

4-5 years of experience in applied machine learning or related field
Strong proficiency in Python and its ML/data science libraries
Extensive experience with NLP techniques and generative AI technologies
Experience with LLMs and both text-to-text and text-to-image generative models
Proficiency in working with large datasets and creating ETL processes
Experience with version control systems (e.g., Git) and CI/CD practices
Ability to work in a fast-paced, changing startup environment

💡 Responsibilities

Collaborate with stakeholders to identify and map business problems to ML solutions
Design, develop, and implement ML models with a focus on NLP and generative AI applications
Curate, clean, and prepare data for model development and training
Create and maintain ETL jobs for data processing
Conduct rapid prototyping of ML solutions to quickly iterate on ideas
Stay current with the latest advancements in ML, particularly in NLP and generative AI
Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture
Implement data flywheels to continuously improve ML features through increased usage
Define and implement ML performance metrics
Contribute to the product roadmap with ML-driven feature ideas
Be an essential technical contributor at a Series B-stage company as it scales

AWS Python SQL ETL Git Machine Learning Numpy Data science Pandas Tensorflow CI/CD A/B testing

Posted about 5 hours ago

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🔥 Staff Machine Learning Engineer

Posted 1 day ago

🧭 Full-Time

💸 185000.0 - 315000.0 USD per year

🔍 Financial Operations

🏢 Company: Ramp👥 501-1000💰 $150,000,000 Series D 11 months agoFinancial Services Finance FinTech

🔧 Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
Strong knowledge of SQL (preferably Snowflake, BigQuery)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

💡 Responsibilities

Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
Prototype and productionalize machine learning models and rules-based systems to protect user accounts
Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend Development Python SQL Machine Learning Numpy PyTorch Snowflake Data engineering Pandas Data modeling Software Engineering

Posted 1 day ago

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🔥 Backend Data Developer - Scraping & Conversión de Java a Python

Posted 1 day ago

📍 Argentina, Colombia, Peru, Bolivia, Plurinational State of, Mexico

🧭 Contract

💸 2300.0 - 2500.0 USD per month

🔍 Software Development

🏢 Company: Workana

🔧 Requirements

Experience with Selenium, Puppeteer or Playwright.
Experience with Java (Spring Boot, Jsoup, HttpClient) and Python (Scrapy, Selenium, Playwright, FastAPI).
Experience with pandas and NumPy.
Knowledge in SQL databases (PostgreSQL, MySQL, SQL Server).
Implementation of scrapers in scalable environments with Docker and Kubernetes.
Deployment in AWS or GCP.

💡 Responsibilities

Development and maintenance of scrapers for extracting data from web portals.
Refactorization and optimization of legacy scrapers in Java towards Python.
Implementation of more efficient architectures to improve performance.

AWS Backend Development Docker GraphQL PostgreSQL Python SQL Apache Airflow ETL GCP Java Java EE Kubernetes MySQL Numpy Spring Boot Data engineering FastAPI REST API Pandas Selenium CI/CD Microservices JSON Data management

Posted 1 day ago

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🔥 Senior Machine Learning Engineer II

Posted 1 day ago

📍 India

🔍 Software Development

🏢 Company: Apollo.io👥 501-1000💰 $100,000,000 Series D over 1 year agoSoftware Development

🔧 Requirements

8+ years of experience building Machine Learning or AI systems
Experience deploying and managing machine learning models in the cloud
Experience working with fine tuning LLMs and prompt engineering
Strong analytical and problem-solving skills
Proven software engineering skills in production environment, primarily using Python
Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)

💡 Responsibilities

Design, build, evaluate, deploy and iterate on scalable Machine Learning systems
Understand the Machine Learning stack at Apollo and continuously improve it
Build systems that help Apollo personalize their users’ experience
Evaluate the performance of machine learning systems against business objectives
Develop and maintain scalable data pipelines that power our algorithms
Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows
Write unit/integration tests and contribute to engineering wiki

Python SQL Apache Airflow Cloud Computing Data Analysis Keras Machine Learning MLFlow Numpy PyTorch Algorithms REST API Tensorflow Software Engineering

Posted 1 day ago

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🔥 Staff Machine Learning Engineer, Inclusive AI

Posted 2 days ago

📍 United States

💸 233302.0 - 480328.0 USD per year

🔍 Software Development

🔧 Requirements

Experienced Engineer with production experience in ML and responsible technology (fairness, diversity, equity) deployments in production systems.
Familiarity with state of the art ML approaches, especially within the Search and RecSys space, such as transformer based architectures, n-tower architectures, LLMs, etc.
Hands-on experience building, deploying, and measuring ML Fairness at a very large scale. Successful candidates in this role need to be able to bridge state of the art approaches to real world impact.
Some experience in leadership roles where the candidate has been able to define a vision, strategy and plans, with concrete OKRs and execute on them to deliver solutions in production that have a positive impact for users.
8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products.
3+ years experience leading cross-team engineering efforts.
MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Experience in working on backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work.
Experience in closely collaborating with other engineering teams to ship ML technologies to improve fairness and reduce bias for recommendation, content understanding, and ranking systems at scale.

💡 Responsibilities

Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI.
Collaborate with other engineering teams (infra. user modeling, content understanding) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Inclusive AI and ML Fairness tooling across Pinterest.
Mentor junior engineers on the Inclusive AI team and across the company on the Inclusive AI / ML Fairness space.
Work with the team and senior leaders at the company to define and drive technical strategy in this area.

AWS Backend Development Leadership Python Software Development SQL Artificial Intelligence Cloud Computing Data Analysis Image Processing Keras Machine Learning MLFlow Numpy PyTorch Cross-functional Team Leadership Algorithms Data Structures REST API Tensorflow Mentoring

Posted 2 days ago

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🔥 Graduate PhD Summer Intern – AI/ML Software Developer

Posted 5 days ago

📍 United States of America

🧭 Internship

💸 50200.0 - 80300.0 USD per year

🔍 Software Development

🏢 Company: NREL

🔧 Requirements

Only current PhD students will be considered for this internship.
Experience in deep learning models, Bayesian neural networks, graph neural network models, and probabilistic semantic graphs.
Experience in the formulation of mixed-integer optimization problems and open-source solvers for sensor placement in distribution systems.
Demonstrated experience in programming languages such as Python and MATLAB.
Experience with open-source, collaborative software development and use of tools such as GitHub or GitLab for project management and version control.

💡 Responsibilities

Develop sensor placement and optimization software tools for modern distribution power systems integrated with clean energy resources such as Photovoltaics, batteries, EV Charging Stations, and electric vehicles.
Contribute to the development of deep learning models such as Bayesian neural networks, graph neural networks, probabilistic semantic graphs, and Generative AI to detect anomalies such as missing data, bad data, and communications failure in sensor data.
Development of data driven forecasting and disaggregation models and validation of both centralized and distributed state estimation algorithms.

Python Git Machine Learning Matlab Numpy Tensorflow

Posted 5 days ago

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🔥 Practice Director, Data & AI - US-Based

Posted 5 days ago

📍 United States

🧭 Full-Time

🔍 Data & AI

🔧 Requirements

15+ years of experience in your practice, with preferably 5+ years in a leadership role within data and AI-focused services.
3+ years managing a business, preferably with P&L responsibility, and proven track record for overseeing financial performance, identifying areas for improvement, and driving profitability and growth.
Strong knowledge of data management, AI governance, machine learning, and AI-driven analytics techniques and technologies, and Generative AI (e.g., large language models, fine-tuning, retrieval-augmented generation).
In-depth knowledge of statistical methodologies, deep learning algorithms, and AI applications in real-world business contexts.
Proficiency in using AI and data science tools (e.g. Python, TensorFlow, PyTorch, SQL, Tableau, etc.).
Experience in marketing, finance, healthcare, or e-commerce industries.
Experience packaging, pricing, and delivering compelling solutions.
Passion for AI innovation and ability to drive thought leadership in the field.

💡 Responsibilities

Strategy: Which clients and buyers do we target, and what problems do we help them solve.
Offering Development: Develop attractive, scalable offerings that resonate with specific customer segments.
Go-to-Market: Take services and offerings to market; first, by leading from the front to establish product-market fit with our clients, and then by working with our Practices Operations team to scale adoption and the commercial impact of offerings.
Marketing: Develop thought leadership and campaigns that highlight our competitive differentiation, elevate our reputation in the market, attract great talent to our network, and generate leads for sales.
Sales: Understand current and future demand and enable, educate, and directly support the salesforce to position this practice best. Lead client conversations, presenting Toptal’s point-of-view and asking exploratory questions to understand client needs better.
Managing the Business: Lead the business from a sales, revenue, and profitability perspective by understanding the key P&L levers.
Delivery: Drive the success of consulting projects by owning both sales and delivery end-to-end. Lead and inspire high-performing teams, craft innovative frameworks, and take an active role in delivering impactful results. You’ll seamlessly blend sales and execution to create exceptional client outcomes.
Talent: Ensure our talent network is prepared to meet the demands of the market (e.g., the right skills in the right capacities) as well as foster an ongoing sense of community amongst the network of professionals in this practice area.

AWS Leadership Python SQL Artificial Intelligence Business Development Business Intelligence Cloud Computing Data Analysis ETL Machine Learning Numpy PyTorch Algorithms Data science Tensorflow Sales experience Data visualization Marketing Strategic thinking Financial analysis Data modeling Data management

Posted 5 days ago

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🔥 Full Stack Software Engineer - Python, Angular & AI

Posted 5 days ago

📍 Mexico, Colombia, Peru, Uruguay

🔍 Software Development

🏢 Company: DaCodes

🔧 Requirements

Conocimientos solidos de Python preferible nivel Avanzado.
Conocimiento de Flask y FastApi
Background en C# (.NET 5/6+) y Java (Spring Framework), así mismo conocer visual studio code y visual studio 2022
Conocimientos de Inteligencia Artificial
Conocimiento de Machine Learning, Deep Learning, NLP
Conocimientos de programación con IA: GPT-4 de OpenAI, Google Vertex AI, DeepSeek, Amazon SageMaker.
Conocimientos de HTML, CSS Y JAVASCRIPT
Jquery
Angular

💡 Responsibilities

Desarrollo, implentación y gestion de APIs

Backend Development Python SQL Artificial Intelligence Data Analysis Data Mining Flask Frontend Development Full Stack Development Git HTML CSS Image Processing Java Javascript jQuery Keras Machine Learning Numpy OAuth Spring C#API testing FastAPI JDBC Angular Pandas Tensorflow RESTful APIs

Posted 5 days ago

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