201 to 225 of 457 Pandas Jobs

master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science or consulting role In-depth experience of working with Python and Pandas An entrepreneurial spirit and drive to work in an early stage start-up A curious mindset to understand how we can improve things and better help our clients address commercial More ❯

in Visual Language Models or multimodal machine learning. Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face. Proficiency in Python, including libraries like pandas, numpy, and scikit-learn. Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation. Experience with cloud platforms (e.g., AWS SageMaker) for model training More ❯

Apply Natural Language Processing and Computer Vision to solve business use cases, • Strong skills in scientific data analyses, modeling, visualization and communication of results. • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction Must have • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient More ❯

Apply Natural Language Processing and Computer Vision to solve business use cases, • Strong skills in scientific data analyses, modeling, visualization and communication of results. • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction Must have • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient More ❯

least 2 were handling network-specific data like telemetry is a must. Deep understanding of networks (protocols, architecture, operations and services) Proficiency in tools and programming languages like Python, Pandas, Dask, and SQL. Experience with big data technologies, such as Elasticsearch and other cloud-based solutions like AWS, Azure or Google Cloud. Proficiency in using Docker and Kubernetes for scalable More ❯

data infrastructure Taking ownership of data systems at an early-stage startup and significantly boosting team productivity Key criteria: Strong proficiency in Python and core data libraries such as Pandas, NumPy, and the broader Python data ecosystem Hands-on experience building distributed systems from scratch using tools like Kubernetes, Slurm, Modal, Anyscale, Ray, Daft, Dask, or Spark Passion for large More ❯

large-scale language and vision models (Transformers, GPT, VLMs). Hands-on experience with multimodal data (text, images, 3D). Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy). Solid grounding in probability, statistics, and optimization for generative modeling. Experience deploying ML and AI models using cloud microservice architecture (AWS preferred). Strong software engineering skills, including More ❯

large-scale language and vision models (Transformers, GPT, VLMs). Hands-on experience with multimodal data (text, images, 3D). Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy). Solid grounding in probability, statistics, and optimization for generative modeling. Experience deploying ML and AI models using cloud microservice architecture (AWS preferred). Strong software engineering skills, including More ❯

large-scale language and vision models (Transformers, GPT, VLMs). Hands-on experience with multimodal data (text, images, 3D). Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy). Solid grounding in probability, statistics, and optimization for generative modeling. Experience deploying ML and AI models using cloud microservice architecture (AWS preferred). Strong software engineering skills, including More ❯

for specific research tasks Position Requirements: Ph.D. in Biomedical Engineering, Bioinformatics, Computational Biology, or a related field Proficiency in Python programming and experience with libraries such as NumPy, SciPy, pandas, and scikit-image Demonstrated experience in microscopy data analysis and image processing techniques Strong problem-solving skills and a track record of developing computational tools or methods Excellent communication skills More ❯

automation-ready using methodologies. Python Development - Strong proficiency in Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep More ❯

automation-ready using methodologies. Python Development - Strong proficiency in Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep More ❯

machine learning algorithms used in genomics and clinical research: regression, classification, survival modeling, Kaplan-Meier, Cox regression Strong programming skills and experience with the python clinical+molecular data science stack: pandas, scikit-learn, lifelines, and jupyter Strong database and SQL skills: BigQuery, dbt Experience with engineering best practices for research computing (docker, git, code review, workflow managers, linux, cloud computing) Thrive More ❯

usage based preferred). Deep hands on expertise with dbt (production grade models, testing, CI/CD) and Snowflake (performance tuning, RBAC, cost management). Advanced SQL + Python (pandas, scipy/statsmodels, or Prophet) for forecasting, scenario modeling, and statistical analysis. Strong grasp of SaaS/cloud unit economics-MRR/ARR, COGS allocation, gross margin, payback, LTV/ More ❯

requiring wrangling, normalization, and tidying Proficient in writing high quality software tooling, particularly in Python and MATLAB. Deep familiarity with industry standard numerical computing toolsets such as scipy, numpy, pandas or Mathworks Statistics and Machine Learning Toolbox History of collaborative projects embedded in technical domains, especially in scientific or engineering spaces. Desire to embed themselves in high-stakes environments where More ❯

Expertise in forecasting, predictive modeling, and value estimation, including statistical and ML-based methods. Advanced proficiency in Python, and experience with libraries such as scikit-learn, XGBoost, LightGBM, and pandas/numpy. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to work collaboratively across teams and functions. Technologies More ❯

expertise in forecasting, predictive modeling, and value estimation, including statistical and ML-based methods. Advanced proficiency in Python, and experience with libraries such as scikit-learn, XGBoost, LightGBM, and pandas/numpy. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to work collaboratively across teams and functions. Technologies More ❯

production code in Python for data tasks with proficiency in object-oriented design and emphasis on testing and monitoring. Experience in wrangling and manipulating large-scale data efficiently with pandas or numpy, and adept at addressing data issues. Experience with data ETL processes and writing SQL queries is a big plus. Familiarity with job scheduling tools like Airflow is advantageous. More ❯

tools Partner with development, QA, and AppSecOps teams to promote standardization, consistency, and improved security posture Our applications are primarily developed using Python/Django and libraries such as Pandas, NumPy, PL/SQL. In addition, we utilize SQL Server, MySQL, Elastic Search, Redis, Kafka, Tableau, and various third-party APIs and data sources. Our applications are hosted in AWS More ❯

working with Python, SQL and noSQL databases Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc ) Strong knowledge of key programming concepts (e.g. More ❯

data structures, including working with or adapting models based on standards like W3C PROV, Dublin Core, or QUDT Hands-on experience with data processing frameworks (e.g., Apache Spark, PySpark, Pandas) and scripting languages such as Python or Scala Familiarity with data integration and analytics platforms used for relationship-rich or mission-aligned datasets Ability to work with classified and unclassified More ❯

you build. QUALIFICATIONS: 5+ years of experience in software or data engineering and a BS/MS in Computer Science, Engineering, or a related field preferred. Experience in Python, Pandas, PySpark, and Notebooks. SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc. Experience setting up infrastructure and using data pipeline technologies like More ❯

Load Balancing. • CI/CD & DevOps Integration. • AWS (ECS, fargate , EC2, SNS, SQS, Cloudwatch, EKS, Kubernetes). Desirable skills/knowledge/experience: • Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. • Knowledge of data science and machine learning concepts and tools. Good to have: • Strategic thinking and problem-solving. • Collaboration and teamwork. • Effective communication and stakeholder management. More ❯

Excellent SQL skills with proven ability to create and to evaluate complex SQL statements involving numerous tables and complex relationships. Fluent in Python and experience using common modules (numpy, pandas, statsmodels, matplotlib) for EDA. Experience collaborating with non-technical stakeholders Nice to haves: Working knowledge of statistics and visualization. Experience working with data visualization tools (Looker) Advanced Excel skills Experience More ❯

data scientists and lead project teams in the execution of complex data science initiatives. Experience working with terabyte-scale data, robotics data formats (e.g. MCAP, HDF5), and dataframes (e.g. Pandas, PySpark) US Salary Range $168,000 - $252,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary More ❯