Pandas Jobs

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Pandas

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154 jobs found.

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🔥 Data Analyst

Posted about 21 hours ago

📍 Europe time zone

🧭 Contract

🔍 Startup ecosystem and research

🏢 Company: StartupBlink👥 1-10💰 $28,000 Seed over 11 years agoCrowdsourcing Geospatial Mapping Services Analytics

Highly motivated and interested in economic development and startup ecosystems.
Experience in startups is a bonus.
Self-motivated with ability to work independently and as part of a team.
Full command of English at a professional level is a critical requirement.
Must have high proficiency in Excel, SQL, and Python with Pandas.
Good to have skills in Python with Matplotlib, Linux Shell, and ETLs.

Handle the day-to-day operations of the Data team.
Work closely with the Data Manager, Development team, and CEO.
Research, process, and analyze data sets for various projects.
Create analytical reports for internal and external clients.
Maintain and improve Python scripts and infrastructure.

Python SQL Pandas

Posted about 21 hours ago

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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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🔥 Senior Data Analyst (Product)

Posted 15 days ago

📍 Germany, United Kingdom, Poland, Spain, Netherlands

🧭 Full-Time

🔍 Outdoor adventure and exploration

🏢 Company: komoot👥 101-250💰 Seed about 11 years agoInformation Services Consumer Applications Subscription Service Information Technology Mobile Software

3+ years of experience with product analytics, including funnel analysis, cohort analysis, retention analysis, and A/B testing.
Excellent SQL skills and comfort working with a cloud data warehouse (e.g. Redshift, Snowflake, BigQuery).
Proficiency in Python/Pandas for data analysis and familiarity with software development workflows.
Experience using dbt for data transformation and modeling (good to have).
Good grasp of statistical concepts and their application to real-world scenarios.
Effective communication skills for data topics and analysis results.
Deep understanding of data quality and reliability.
Ability to understand business needs and translate problems into technical solutions.
Rigorous analytical thinking and passion for finding actionable insights.
Hands-on, self-driven, and able to learn independently.
Team player, empathetic communicator, and willing to help others.

Turn data into actionable insights about users to drive product decisions.
Spot strategic opportunities in data and help shape squad roadmaps.
Design metrics to measure the success of key features.
Create visualizations to highlight trends and user behavior.
Build dashboards and scheduled reports to monitor product KPIs.
Design new events to track product features and provide data quality checks for client teams.
Design and analyze experiments to validate product hypotheses.
Contribute towards trusted data transformation models in dbt.
Organize and prioritize tasks of the data analytics roadmap.

Python SQL Data Analysis 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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🔥 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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