Numpy Jobs

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Numpy

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🔥 Data Scientist - Detections (1 year FTC)

Posted about 24 hours ago

📍 United Kingdom

🧭 Contract

🔍 Fraud detection

🏢 Company: Ravelin👥 101-250💰 $20,650,880 Series C over 4 years agoFraud Detection Transaction Processing SaaS Payments Cyber Security

Experience building and deploying ML models using the Python data stack (numpy, pandas, sklearn).
Understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and how they apply to machine learning engineering.
Strong analytical skills.
Being a strong collaborator with colleagues outside of your immediate team, for example with client support teams or engineering.
Being skilled at communicating complex technical ideas to a range of audiences.
The ability to prioritise and to manage your workload.
Being comfortable working with a hybrid team.

Build out our model evaluation and training infrastructure.
Develop and deploy new models to detect fraud whilst maintaining SLAs.
Write new features in our production infrastructure.
Research new techniques to disrupt fraudulent behaviour.
Investigate model performance issues using your experience of debugging models.

Docker Python Kubernetes Machine Learning Numpy Pandas CI/CD

Posted about 24 hours ago

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🔥 Contract Business Intelligence Analyst/Data Scientist

Posted 2 days ago

📍 United States

🧭 Contract

💸 70.0 - 80.0 USD per hour

🔍 Financial information and services

🏢 Company: The Motley Fool👥 501-1000💰 $25,000,000 Private about 15 years agoPublishing Consulting News Financial Services Marketing

Minimum 5 years of collaborative data analytics experience delivering insights to key stakeholders.
Knowledgeable in reporting and data visualization tools like Tableau, ThoughtSpot, or Power BI.
Demonstrated ability to influence data-informed decisions and drive growth in key metrics.
Intermediate to advanced technical data skills, including programming experience with Python, SQL proficiency, statistical testing and experiment design.
Supervised machine learning methods and approaches; ML project deployment.
Familiarity with common data science libraries (e.g., scikit-learn, pandas, NumPy).
Extensive experience with LLMs and NLP.
Leveraging and fine-tuning LLMs for automating business analysis.
Implementing NLP techniques to extract insights from large datasets.
Experience with AWS.
A continuous learner: someone who keeps up with the latest data science trends.

Collaborate with business teams to understand their strategies and translate them into data initiatives.
Provide data-informed recommendations to improve product features, engagement, and member experience.
Monitor key metrics and develop strategies to impact business performance positively.
Analyze large datasets to derive meaningful insights.
Perform exploratory data analysis to inform strategic initiatives.
Develop and maintain dashboards and reports for stakeholders.
Communicate complex data insights clearly and actionably.
Utilize advanced analytics techniques to identify trends and opportunities.
Apply statistical methods and machine learning algorithms to solve complex business problems.
Build predictive models for forecasting, marketing response, segmentation, and decision support.
Develop LLM-based solutions to enhance data interpretation and reporting.
Implement NLP techniques to process and analyze unstructured data.
Collaborate with data engineering to automate and operationalize models.

AWS Python SQL Data Analysis Machine Learning MLFlow NLTK Numpy Tableau Pandas Data visualization

Posted 2 days ago

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🔥 Senior ML Engineer

Posted 2 days ago

📍 Cyprus, Malta, USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE, Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia

🧭 Full-Time

🔍 Social discovery

🏢 Company: Social Discovery Group👥 501-1000 Venture Capital Finance Information Technology

A solid 3+ years in developing ML models.
Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib, Plotly).
Excellent coding skills.
Experience with cloud services like Azure, AWS, or GCP.
Familiarity with LLM APIs, best models, and prompting techniques.
Experience with ML production pipelines such as Airflow and MlFlow.
Ability to determine suitable algorithms for specific tasks.

Own a particular project from data to production.
Build ML/AI models and write services as needed for projects.
Wrap models into Docker for deployment.
Collaborate with cross-functional teams including Product owners and Analytics.
Share ideas and knowledge with the team.

AWS Docker Python GCP Machine Learning MLFlow Numpy Azure Pandas

Posted 2 days ago

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🔥 Generative AI Engineer

Posted 4 days ago

📍 U.S.

🔍 Technology, consulting

🏢 Company: NTT DATA, Europe & LATAM, Branch in USA, Inc.

Titulado o Pasante.
Inglés intermedio avanzado.
Conocimiento en Programación enfocada a Machine Learning.
Conocimiento Basico de Python en librerias como Scikit-learn para modelos tradicionales.
Conocimiento en overfitting, validación cruzada, y evaluación de metricas.
Generative AI y conceptos RAG.
Experiencia básica con Cloud services como AWS, Azure para data storage y processing.
Habilidades en limpiar, transformar y preparar datos usando herramientas como Pandas y NumPy.

Lead the development of Generative AI solutions within the Azure platform, focusing on efficiency and user needs.
Continuously evaluate and suggest improvements for developed Generative AI solutions.
Create and refine AI prompts for optimal user interaction.
Train users on best practices for using AI solutions and prompt creation.
Review existing architecture, identify changes, and recommend improvements for cost and time savings.
Collaborate with Data and Solution Architects to address technology and platform-related challenges.

Python Machine Learning Numpy Azure Pandas

Posted 4 days ago

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🔥 ML Engineer (Mid Level)

Posted 4 days ago

📍 Egypt

🧭 Full-Time

🔍 Digital transformation, technology consulting

🏢 Company: robusta

Bachelor's or higher degree in computer science, software engineering, or a related field.
Minimum 2+ years of experience in software engineering, preferably in developing solutions for machine learning and natural language processing applications.
Hands-on experience with programming languages such as Python and Java.
Hands-on experience with the data science and machine learning Python stack (Scikit-learn, Numpy, Pandas).
Basic understanding of machine learning concepts.
Familiarity with AI tools and frameworks such as TensorFlow/Keras and PyTorch.
Familiarity with the HuggingFace Ecosystem (Hub, transformers, datasets).
Familiarity with version control, CI/CD, and containers (Docker).
Solid understanding of software development principles, practices, and methodologies.
Strong communication and collaboration skills.
Ability to learn and adapt to new technologies and frameworks.

Prototype, develop and deploy efficient and scalable machine learning models and end-to-end AI solutions.
Collaborate with clients to identify potential for creating business value and optimizing processes using machine learning and AI technologies.
Design, implement, and test software solutions to meet client needs.
Participate in code reviews to ensure the quality and consistency of development efforts.
Communicate with teams across different locations to ensure timely delivery of projects.
Continuously research and stay up-to-date with AI technologies, tools, and frameworks.
Work closely with software engineers, data scientists, and business stakeholders to deliver high-quality value-driven software solutions.

Docker Python Keras Machine Learning Numpy PyTorch Pandas Tensorflow CI/CD

Posted 4 days ago

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🔥 Product Analytics Specialist (Remote)

Posted 15 days ago

📍 India

🧭 Full-Time

🔍 SaaS-based Developer Skills Platform

🏢 Company: HackerRank👥 100-500💰 $60,000,000 Series D almost 3 years ago🫂 Last layoff over 1 year agoEmployment Service Industry Skill Assessment Recruiting

Minimum 4-5 years of experience as a business intelligence analyst, data analyst, or product analyst.
At least 2 years focused on feature metrics, A/B testing, conversion and retention analysis, and user personas.
Expert knowledge of SQL and MS Excel.
Intermediate scripting skills in Python using libraries like Pandas and Numpy.
Understanding of data modeling concepts and experience with data visualization tools like Looker.

Supporting PMs and Product Designers in delivering new or improved features for customer needs.
Assisting Product and Content marketing teams with data insights that reinforce the company's brand.
Designing and analyzing user journeys to enhance product activation, retention, and monetization.
Exploring large datasets to derive actionable insights.
Managing queries, analysis, and visualizations for various requests and projects.

Python SQL Numpy Pandas Data visualization Data modeling A/B testing

Posted 15 days ago

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🔥 Lead Data Engineer

Posted 16 days ago

📍 United States

🧭 Full-Time

💸 175000.0 - 215000.0 USD per year

🔍 Mental Health Care

🏢 Company: Charlie Health👥 501-1000💰 $850,000 Seed over 4 years agoMental Health Care

Bachelor’s degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience.
7+ years experience as a software engineer, with at least 5 years of experience in a data engineering role.
Deep expertise in SQL, understanding CTEs, aggregation functions, window functions, partitioning, and clustering.
High proficiency in Python and experience with common data engineering libraries such as Pandas, Numpy, and Great Expectations.
Experience with a modern data stack and tools such as FiveTran, Snowflake, DBT, Dagster, Hightouch, and Tableau.
Experience with data exploration, profiling, governance, visualization, and activation.
Proven ability to thrive in an ambiguous and rapidly changing environment.
Experience working with sensitive data in a regulated environment.
Expertise in healthcare is a plus.

Develop, release, and maintain high-quality data pipelines using Python, FiveTran, DBT, and Snowflake.
Own and guide the development of the data infrastructure.
Develop custom integrations using Dagster.
Configure reverse ETL integrations using Hightouch.
Identify bottlenecks and implement improvements to data engineering processes, tools, and procedures.
Promote collaboration and learning across teams through mentoring and knowledge sharing.
Participate in on-call rotation to ensure data availability.

Python SQL Numpy Snowflake Pandas

Posted 16 days ago

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🔥 Staff ML Data Scientist

Posted 18 days ago

📍 United States, Canada

🧭 Full-Time

💸 200000.0 - 250000.0 USD per year

🔍 Mining, Mineral Exploration, Technology

🏢 Company: KoBold Metals👥 101-250💰 $491,455,627 Series C 4 months agoArtificial Intelligence (AI)Mineral Mining Software

At least 5 years of experience as a software engineer, data scientist, or ML engineer; ideally closer to 10 years.
2+ years of experience managing technical teams in complex and multidisciplinary projects.
Proven record of building production-quality data processing solutions with tangible business value.
Proficiency in foundational ML concepts, including statistical methods and traditional/deep learning approaches.
Proficiency in Python, including array-based packages like xarray and numpy.
Experience in scaling data operations using tools like Spark or Dask.
Strong collaborative attitude across diverse team backgrounds.

Architect, implement, and maintain foundational data science models for distributed processing of large-scale geospatial data applicable to mineral exploration projects.
Build tooling for enhanced machine learning capabilities from remote sensing data in collaboration with the engineering team.
Improve current processing pipelines for lidar, high resolution imagery, and hyperspectral data.
Implement advanced analysis methods like spatially aware clustering and anomaly detection.
Collaborate with data scientists, geoscientists, and engineers to deploy algorithms that combine large data sets for exploration.

Leadership Python Machine Learning Numpy Algorithms Data engineering Data science Spark

Posted 18 days ago

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🔥 Data Scientist III

Posted 20 days ago

📍 Remote or State College, PA

🔍 Weather services

🏢 Company: AccuWeather Careers

3+ years of experience in applying machine learning and deep learning algorithms (CNNs, GANs, LSTMs, etc.).
A strong interest and passion for image processing, feature extraction, object detection and recognition, image classification, and motion analysis.
Experience with Python (especially Numpy, Pandas, and Scikit-learn) and the main deep learning frameworks (MLflow, TensorFlow, PyTorch, Keras, Jax, etc.).
Strong background in mathematics, including statistics and optimization.
High level of critical thinking and analysis to resolve complex challenges effectively.
Ability to make prompt, sound decisions faced with complex alternatives.
Self-driven with strong problem-solving skills and adaptability.
Strong verbal and written communication skills along with excellent collaboration abilities.

Build and train complex machine learning models leveraging AccuWeather’s extensive data archives towards the prediction of weather phenomena.
Regularly present model findings and verifications along with areas for further refinement.
Assemble large, complex data sets that align with business requirements, ensuring data integrity and quality.
Perform extraction, transformation, loading, and optimization of data from various sources.
Work closely with internal and external stakeholders including product and executive teams.
Deploy machine learning and deep learning models into production environments.

Python Data Analysis Image Processing Keras Machine Learning MLFlow Numpy PyTorch Pandas Tensorflow

Posted 20 days ago

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🔥 Junior Quant Trader

Posted 21 days ago

📍 United Kingdom, Singapore, Poland, Hong Kong, Japan

🔍 Cryptocurrency exchange

🏢 Company: Freedx

Bachelor’s degree in mathematics, statistics, engineering, computer science, or a related quantitative field.
Basic proficiency in Python; experience with libraries like NumPy, pandas, or similar is a plus.
Strong analytical mindset with attention to detail and a passion for problem-solving.
Basic understanding of cryptocurrency markets and trading principles.
Willingness to learn and thrive in a fast-paced, dynamic environment.
Ability to collaborate effectively with team members and take direction from senior traders.

Assist in the development, testing, and execution of quantitative trading strategies for spot and perpetual futures markets.
Monitor market conditions, trading positions, and portfolio performance in real-time.
Perform statistical analysis on historical and live market data to identify opportunities and optimize strategies.
Collaborate with quantitative developers to improve trading infrastructure, tools, and analytics.
Support the team in monitoring trading risks and ensuring strategies align with the platform's risk management framework.
Execute and track trades, ensuring alignment with strategy objectives.
Stay updated on market trends, learn from senior traders, and continuously improve your quantitative and trading skills.

Python Data Analysis Numpy Pandas Risk Management

Posted 21 days ago

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