Pandas Jobs

Find remote positions requiring Pandas skills. Browse through opportunities where you can utilize your expertise and grow your career.

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🔥 Python Developer - Automation (f/m/x)

Posted 2024-11-21

📍 Germany and countries where Auto1 Group has an entity

🔍 Automotive

3+ years of industry experience in a similar role.
Proficiency in Python and GIT.
Experience with Pandas, Python frameworks (e.g., Flask), and REST APIs.
Knowledge of SQL databases, preferably PostgreSQL.
Proven practical experience in Data Science, AI, and/or predictive modeling.
Familiarity with scikit-learn, TensorFlow, or SageMaker Studio is highly desired.
Skills in natural language processing and prompt engineering.
Knowledge of cloud (AWS) and infrastructure as code (Terraform) is a plus.
Fluent communication in English; German is a plus.

Automate repetitive tasks using Python scripts, freeing up time for more strategic initiatives.
Research and implement new AI techniques to provide valuable support to our marketers.
Define and implement proof of concepts for time-saving processes.
Collaborate closely with marketing stakeholders at all levels to understand their needs and deliver effective solutions.
Analyze the results of automated jobs and adjust when necessary.
Maintain and extend microservices using AI, as a part of our automation framework.

Python SQL Flask Git Data science Pandas Microservices

Posted 2024-11-21

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🔥 Data Engineer

Posted 2024-11-20

📍 Argentina, Spain, England, United Kingdom, Lisbon, Portugal

🧭 Full-Time

🔍 Web3

🏢 Company: Reown

5+ years working in the analytics stack within a fast-paced environment.
3+ years production experience with SQL templating engines like DBT.
Experience with distributed query engines (Bigquery, Athena, Spark), data warehouses, and BI tools.
Strong understanding of software engineering principles, coding standards, design patterns, version control (e.g., Git), testing methodologies, and CI/CD processes.
Experience with AWS/GCP/Azure services for deployment and management.
Familiarity with GitHub, CI/CD pipelines, GitHub Actions, and Terraform.
Ability to write Python scripts for ETL processes and data manipulation.
Proficient with libraries like pandas for analysis and transformation.
Experience handling various data formats (e.g., CSV, JSON, Parquet).
Strong problem-solving skills and communication abilities to discuss technical concepts.

Write complex SQL queries that extract and combine data from on-chain and off-chain logs for analytics.
Create dashboards and tools for team data discoverability and KR tracking.
Perform deep-dive analyses into specific topics for internal stakeholders.
Help design, implement, and evolve Reown's on-chain data infrastructure.
Build, maintain, and monitor end-to-end data pipelines for new datasets and features.
Write health-checks and alerts to ensure data correctness, consistency, and freshness.
Meet with product managers and stakeholders to understand data needs and detect new product opportunities.

AWS Python SQL Data Analysis Design Patterns ETL GCP Git Tableau Azure Clickhouse Data analysis Pandas Spark Communication Skills CI/CD Terraform Written communication

Posted 2024-11-20

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🔥 Senior Data Scientist

Posted 2024-11-20

📍 US

🧭 Full-Time

🔍 Advertising technology

🏢 Company: Sojern

Strong problem-solving and analytical skills to understand business problems, develop hypotheses, and work with large datasets.
Intermediate/advanced proficiency level in analytical tools and techniques: SQL expertise, Python proficiency (e.g. pandas, statsmodels, sklearn, numpy), and spreadsheet usage.
2+ years of experience as a data scientist, ideally within the advertising technology ecosystem.
Strong understanding of statistical concepts, measurement methods, and causal inference techniques.
Effective verbal and written communication skills for collaboration and presenting insights.
Curiosity and initiative with a mindset of asking 'why' and proposing impactful ideas.
Attention to detail to ensure high quality of delivery in analytical tasks, documentation, and business requirement gathering.
MS/PhD in a quantitative discipline or equivalent experience.

Collaborate across functional teams, including Product Managers, Software Engineers, Analysts, and Scientists to enhance the performance, delivery, and efficiency of Sojern’s AI-driven marketing products.
Lead scientific domain in experimentation projects from scoping, test design, implementation, measurement, and insights delivery.
Apply statistical analysis, hypothesis testing, quasi-experimental techniques to rigorously evaluate experiments and draw actionable and data-driven conclusions.
Communicate findings and recommendations to both technical and non-technical stakeholders to enable faster and more informed decision-making.
Identify opportunities to improve methodologies and processes and develop scalable solutions that drive impact.
Contribute to data-driven product roadmap and scientific project prioritization.
Train and mentor analyst members on scientific methodologies as needed to support team growth.

Leadership Python SQL Data Analysis Numpy Tableau Data analysis Data science Pandas Communication Skills Analytical Skills Collaboration Microsoft Excel Attention to detail Written communication

Posted 2024-11-20

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🔥 Principal Machine Learning Engineer

Posted 2024-11-20

📍 Colombia

🔍 Communications

Typically 6+ years of proven experience in data science, focusing on LLMs and supervised ML models.
Proficiency in programming languages such as Python or R, with experience in SciKit-Learn, XGBoost, Keras.
Strong understanding of data processing and transformation techniques, including SQL and big data technologies.
Experience developing, training, and deploying ML models and Python applications in production environments.
Familiarity with cloud platforms like AWS Sagemaker and containerization tools like Docker and Kubernetes.
Excellent problem-solving skills and strong communication skills.

Build and deploy machine learning models, including propensity models and GenAI applications.
Collaborate closely with product, program, analytics, and engineering teams to refine models.
Leverage technical stack including Python, SQL, R, AWS, and data science libraries for AI/ML solutions.
Utilize enterprise data sources like Salesforce and Zendesk for model development.
Apply knowledge of LLMs to develop innovative solutions.

AWS Docker Python SQL Hadoop Keras Kubernetes Machine Learning MySQL Numpy Salesforce Data science Pandas Spark Communication Skills

Posted 2024-11-20

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🔥 Director, Data Science Division (Remote, US)

Posted 2024-11-17

📍 United States

🧭 Full-Time

🔍 Consulting/Biomedical Services

🏢 Company: ICA.ai

Master's or PhD degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
12+ years of experience in data science or a related field.
At least 5 years of management experience leading teams of 10 or more data scientists, ML engineers, solution architects, and data engineers.
Deep expertise in statistical modeling, machine learning algorithms, and AI techniques.
Proficiency with programming languages such as Python and R, and experience with data manipulation libraries (e.g., pandas, NumPy).
Extensive experience with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn.
Strong knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing solutions.
Advanced knowledge of AWS services (Athena, S3, Glue, SageMaker, Comprehend).
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow).

Leverage technical expertise and business acumen to collaborate with senior stakeholders.
Ensure the Data Science team has necessary skills and resources to solve client data challenges.
Oversee a team of full-time employees and consultants supporting government clients.
Plan and direct operational policies, objectives, and initiatives.
Develop strategies and drive actions to meet financial and operational goals.
Monitor financial and operational metrics to achieve objectives.

AWS Leadership Project Management Python Agile Artificial Intelligence Cloud Computing Data Analysis Hadoop Kubeflow Machine Learning MLFlow Numpy PyTorch SCRUM Algorithms Data analysis Data science Pandas Spark Tensorflow Communication Skills Collaboration

Posted 2024-11-17

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🔥 Remote Applied Machine Learning Engineer

Posted 2024-11-17

📍 United States

🧭 Full-Time

💸 100000 - 115000 USD per year

🔍 Creative services

🏢 Company: Design Pickle

3+ years of experience in data science and web application software engineering.
2+ years in building full stack applications to prove out concepts and prototypes.
2+ years of experience in building out AWS Ops architecture.
Proficiency in Python for data analysis and machine learning.
Familiarity with Pandas, Scikit, and other data science libraries.
Proficiency with Snowflake and machine learning workflows.
Knowledge of generative AI models and APIs, and experience with Gen AI prompt engineering.

Rapidly conceptualize, develop, and deploy web applications that are data-driven and leverage AI to deliver innovative solutions.
Utilize Python data science libraries such as Pandas and Scikit to process, analyze, and transform data for AI applications.
Design, implement, and integrate production-grade generative AI APIs into applications, ensuring seamless functionality and user experience.
Mentor and provide technical guidance to team members in data-centric roles.
Architect and deploy scalable data solutions supporting AI models and products, including proof-of-concept applications and production-grade APIs.

AWS Python Data Analysis Machine Learning Product Management React.js Ruby Ruby on Rails Snowflake Data analysis Data science Pandas React Collaboration

Posted 2024-11-17

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🔥 Principal Machine Learning Data Scientist - Gen AI

Posted 2024-11-16

📍 United States

🧭 Full-Time

🔍 Manufacturing

🏢 Company: Xometry

A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or related field is preferred.
7+ years of experience in data science and machine learning focusing on generative models, LLMs, or computer vision.
Expertise in large-scale language and vision models such as Transformers, GPT, and VLMs.
Experience with multimodal data processing.
Proficient in Python with libraries like PyTorch, TensorFlow, pandas, and numpy.
Strong background in probability, statistics, and optimization techniques for generative modeling.
Familiarity with cloud computing resources for model training and deployment.
Knowledge of software engineering principles including version control and continuous integration.
Experience in manufacturing, supply chain, or related industries is a plus.

Provide technical leadership to the Generative AI team, setting technical direction and ensuring adherence to industry standards.
Lead strategic planning for generative AI initiatives, aligning with Xometry’s business objectives.
Develop and deploy generative AI models for multimodal document processing.
Design efficient workflows for data preparation and augmentation.
Utilize cloud platforms for data processing and model deployment.
Collaborate with cross-functional teams to drive impactful applications.
Mentor team members on advanced machine learning techniques.
Experiment with model performance to improve accuracy and efficiency.
Stay updated with latest research in generative AI.

AWS Leadership Python Agile Cloud Computing Machine Learning Numpy PyTorch Amazon Web Services Data science Pandas Tensorflow

Posted 2024-11-16

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🔥 Data Scientist II, Cost Prediction

Posted 2024-11-16

📍 United States

🧭 Full-Time

🔍 Manufacturing

🏢 Company: Xometry

Bachelor’s degree required; preferred in applied math, computer science, natural sciences, or engineering.
Degree in Mathematics, Statistics, or related field (M.S. or PhD highly desired).
3+ years of experience with machine learning, statistical modeling, and optimization techniques.
Experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds is a plus.
Fluency in Python (pandas, numpy, SciPy, and scikit-learn preferred).
Proficiency in linear algebra and statistics.
Familiarity with scientific software principles, e.g., versioning systems and code deployment.
Experience in the manufacturing industry is desired.

Use data science and machine learning principles to develop effective predictive models using 3D data.
Write software to prepare, clean, and sample data for developing predictive models.
Utilize cloud resources (e.g., Amazon Web Services) for data preparation and processing.
Query and extract data from databases (Snowflake and MongoDB).
Employ data analysis and visualization tools to inform business strategy.
Continuously iterate solutions in a fast-paced, ambiguous environment.
Tackle challenging, uncharted problems and work with a team in a learning-focused culture.

Python SQL Data Analysis Machine Learning MongoDB Numpy Snowflake Amazon Web Services Data analysis Data science Pandas

Posted 2024-11-16

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🔥 Data Scientist / Decision Scientist - Network Optimization & Design (Remote)

Posted 2024-11-16

📍 United States of America

🧭 Full-Time

💸 64890 - 173040 USD per year

🔍 Healthcare

Bachelor's degree or equivalent in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
Preferred Master's degree.
2+ years' experience in Data Scientist or Decision Scientist role.
2+ years' experience programming in Python using Pandas for data manipulation.
2+ years' experience writing complex SQL queries.
1+ year experience working in Cloud platforms (GCP, AWS, or Azure).
Preferred experience in the healthcare industry and software engineering.

Participate in developing, validating, and delivering algorithms, statistical models, and reporting tools.
Solve moderately complex analytical problems by developing and executing predictive models.
Explore and interpret large data volumes to detect patterns and recommend solutions.
Perform analyses of structured and unstructured data using advanced statistical techniques.
Develop data structures and pipelines for data organization to generate insights.
Utilize data visualization techniques to communicate analytical results.
Ensure data integrity and create evaluative data needs for projects.

Python SQL GCP Machine Learning Algorithms Data engineering Data science Data Structures Pandas Communication Skills

Posted 2024-11-16

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🔥 Freelance Translation Expert - AI Tutor

Posted 2024-11-15

📍 New Zealand

🧭 Contract

🔍 Artificial Intelligence

🏢 Company: Mindrift

Master’s degree in Applied Linguistics, Computational Linguistics, Computer Science, Tradumatics, Communication, Translation Studies, or related fields.
Advanced English (C1) or above.
Professional experience in relevant fields is an advantage.
Willingness to learn new methods.
Ability to switch between tasks and topics quickly.
Ability to work with challenging, complex guidelines.

Develop complex question-answer pairs.
Create scoring criteria (rubrics) to evaluate and grade AI responses.
Generate prompts that challenge the AI and may yield incorrect responses.
Define comprehensive scoring criteria for evaluating the correctness of AI's answers.
Correct AI responses based on domain-specific knowledge.

Artificial Intelligence Data Analysis Machine Learning NLTK Numpy Data analysis Pandas Communication Skills Analytical Skills Collaboration Problem Solving Attention to detail Organizational skills Presentation skills Time Management Written communication Multitasking

Posted 2024-11-15

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