126 to 145 of 145 Pandas Jobs

with exposure to Natural Gas and Power markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in cloud platforms (preferably Azure) and services such as More ❯

in financial data analysis, equity research, financial modeling, or a related field Strong coding proficiency in Python or R for data analysis and workflow optimization Advanced experience working with Pandas (Python) or dplyr (R) Deep understanding of financial statements, financial modeling, and industry analysis Competency in applied statistics, with emphasis on descriptive statistics and statistical inference Basic knowledge of relational More ❯

in the cloud, including building full stack applications using technologies such as React/Angular, backend APIs, and various languages. Proficient in Python data handling utilizing libraries such as Pandas, ETL (Extract Transform Load) processes, reflecting strong affinity for data engineering in a predominantly Python-based environment. Professional knowledge of theoretical aspects of computer science and their pragmatic implementations. Proficient More ❯

analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goalsExperience with big data and scalable model training More ❯

databases and dashboarding software such as Power BI or Tableau is important. Familiarity with programming languages such as Python or R and their associated data analysis libraries (e.g., NumPy, Pandas, scikit-learn) is a plus. Statistical Expertise: Strong understanding of statistics, including descriptive statistics, regression, probability, sampling, and hypothesis testing. Communication: Excellent written and verbal presentation skills, with the ability More ❯

Required Qualifications: Active TS/SCI clearance with polygraph required to start. 5+ years working with Python especially with creating Jupyter notebooks and working with core data science libraries (pandas, scikit-learn, matplotlib, and others). 1+ year experience working with Unix environments including common terminal commands 1+ year experience with Git and GitHub and using it collaboratively as part More ❯

years, bachelor's with 8 years, master's with 6 years, or PhD with 4 years Proficiency in data science languages and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data modeling, and algorithm development Ability to explain complex data More ❯

that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch … practices Experience with interfacing with customer stakeholders to align on requirements and technical implementations Required Skills Minimum 3-5 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Desired Skills (Optional) Experience with Python ORM More ❯

that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch … practices Experience with interfacing with customer stakeholders to align on requirements and technical implementations Required Skills Minimum 3-5 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Desired Skills (Optional) Experience with Python ORM More ❯

secure, scalable, and maintainable applications using Python and Azure cloud technologies for commodities trading solutions. Leverage strong proficiency in Python, including use of numerical and scientific libraries such as Pandas, NumPy, SciPy etc. Utilize a second strongly typed programming language (e.g., C#, C++, Rust, or Java) as needed. Implement application architecture and DevOps best practices, including Infrastructure as code, Kubernetes … requirements into technical specifications and software products. Mandatory Skills Extensive experience in Python application development, especially within trading, finance, or quantitative domains. Proficiency with major Python numerical libraries (e.g., pandas, numpy, scipy, stats). Experience with at least one additional strongly typed programming language (C#, C++, Rust, Java, etc.). Strong background in Azure cloud application development, including security, observability More ❯

secure, scalable, and maintainable applications using Python and Azure cloud technologies for commodities trading solutions. Leverage strong proficiency in Python, including use of numerical and scientific libraries such as Pandas, NumPy, SciPy etc. Utilize a second strongly typed programming language (e.g., C#, C++, Rust, or Java) as needed. Implement application architecture and DevOps best practices, including “Infrastructure as code”, Kubernetes … requirements into technical specifications and software products. Mandatory Skills Extensive experience in Python application development, especially within trading, finance, or quantitative domains. Proficiency with major Python numerical libraries (e.g., pandas, numpy, scipy, stats). Experience with at least one additional strongly typed programming language (C#, C++, Rust, Java, etc.). Strong background in Azure cloud application development, including security, observability More ❯

Primesource Consulting LLP seeks a talented Data Scientist to join their team. This role involves leveraging data science to design and develop machine learning models to address real-world business challenges. The candidate should possess a strong foundation in data More ❯

This is an on-site project - with a possible 1-2 days WFH. DOD secret or higher is Preferred- US Citizenship a MUST All qualified candidates will be responded to in 24 hrs or less. Employment type: Full Time w More ❯

for data validation and regular file verification 20. Enhance reporting accuracy, ensure data reliability, and minimize manual intervention in critical business processes. 21. Utilize Python's advanced libraries, including Pandas and NumPy, to perform statistical modeling and predictive analytics on clinical trial data. Travel and Relocation Requirements: The only travel required is when the Applicant relocates to unanticipated client locations … transformation and integration across various sources, with S3 for scalable storage of raw and processed data. Applying statistical modeling and advanced analytical methodologies in Python (using libraries such as Pandas and NumPy) to derive actionable insights and interpret complex data. Migrating on-premise data to AWS with minimal downtime and developing serverless functions to automate data processing tasks, enabling real … time analytics and improving operational efficiency. Proficiency in Python (with libraries like Pandas and NumPy), AWS (S3, Lambda, Glue, RDS), SQL, ETL tools, Git, and cloud-based services for deploying analytics solutions and managing scalable data pipelines. Bachelors degree (or its foreign equivalent) in Data Science, Information Technology, or closely related field. Please copy and paste your resume in the More ❯

models for business stakeholders. What you will do (key responsibilities) Develop and maintain Q/KDB+ queries and scripts for time-series equities data. Build and support Python tools (Pandas) for data cleansing, transformation and analysis. Write and optimise complex SQL (preferably Impala) against large-scale data stores. Design, build and maintain Tableau dashboards that translate complex data into actionable … opportunities. Skills and experience required Proven experience working with equities data in a sales and trading environment. Strong Q/KDB+ experience, comfortable with time-series querying. Python + Pandas for analytics and automation. Advanced SQL skills; experience with Impala desirable. Tableau dashboard development and BI modelling experience. Strong problem-solving, communication and stakeholder engagement skills. Why apply? You will More ❯

At Volt, our greatest strength is our people Volt is immediately hiring for Data Science Engineer in Falls church, VA As Data Science Engineer you will be responsible for: As a Principal Test Systems Test Execution Lead, you will collaborate More ❯

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with More ❯

Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 More ❯

About the roleWe are excited to be hiring a new Data Scientist into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits More ❯

but are not limited to: Serve as an instructor for the SNA courses (schedule: bi-monthly introductory and quarterly advanced classes). Utilize SNA skills and tools (e.g., Python, Pandas) to help customer analysts address mission objectives. Prepare and deliver documents ranging from technical reviews, class enhancements, and curriculum updates. Organize and actively engage on Technical Review Boards (TRB) and … and analytical skills. Strong relationship and network building skills. Bachelor's Degree in applicable discipline. TS/SCI with polygraph. Desired Intermediate to advanced Python skills, including NetworkX and Pandas Proficiency with client-specific tools More ❯