Python

Python Data Jobs

356 jobs found

Today

Data Scientist

The MASY Group Bethesda, MD

Bethesda, MD

Today

Full time Python Data Analysis Data Analytics

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Job Description

Work onsite in Bethesda, MD supporting government service efforts by turning raw data into reliable insights and leadership-ready reporting.

Responsibilities

Collect, clean, analyze, and interpret data and information to support development and execution of assigned projects
Track, maintain, and support institution and program data, metrics, and evaluation data to ensure quality and reliability
Produce reports, presentations, and written materials for leadership that communicate findings, trends, patterns, and predictions using relevant data and research
Support, coordinate, or help promote strategic initiatives and projects
Use strong MS Office capabilities, with proficient/advanced skills in Excel and Access and/or related spreadsheet and database applications

Requirements

Bachelor’s degree in data science, public policy, economics, sociology, education, business analytics, or a related social science field from an accredited institution
At least 2 years of directly comparable experience working with quantitative information and data
Ability to generate and present data insights using statistical software and data visualization tools (e.g., Power BI, Tableau, or similar)
Experience with programming language/coding (e.g., Visual Basic, SQL, or similar). Coding skills should be transferable; VBA (or Python) may be used with Excel, and VBA/SQL can be used with Access
TS/SCI with CI Polygraph REQUIRED

Technologies

MS Office, Excel, Access
Power BI, Tableau
Visual Basic, SQL, VBA, Python

Benefits

5% matching 401(k) with no vesting period
Family leave
Healthcare and Dependent Care Flexible Spending Accounts

Desired Qualifications

Master’s degree from an accredited institution of higher education
Experience in graphic design
Training in and experience with more advanced statistical techniques

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Today

Data Scientist

The MASY Group Bethesda, MD

Bethesda, MD

Today

Full time Python Data Data Analysis

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Job Description

The MASY Group is seeking a Data Scientist to support federal agencies in collecting, cleaning, analyzing, and interpreting data to develop and execute projects and communicate results to leadership. This onsite role is based in Bethesda, MD.

Key Responsibilities

Collect, clean, analyze, and interpret data and information to support the development and execution of current projects
Track and maintain institutional and program data, including metrics, while evaluating the quality and reliability of data
Prepare reports, presentations, and written materials for leadership that clearly and effectively communicate findings, trends, patterns, and predictions using relevant data and research
Support, coordinate, or promote strategic initiatives and projects

Required Qualifications

Bachelor’s degree in data science, public policy, economics, sociology, education, business analytics, or a related social science field from an accredited institution of higher education
At least 2 years of directly comparable experience working with quantitative information and data
Ability to generate and present data insights using statistical software and data visualization tools such as Power BI, Tableau, or similar
Experience with programming or coding (for example, Visual Basic, SQL, or similar). Coding skills are transferable; VBA (or Python) may be used with Excel, and VBA/SQL can work with Access. The role requires familiarity with the concept of using code to manipulate data
TS/SCI with CI Polygraph REQUIRED

Tools and Technologies

MS Office, Excel, Access
Power BI, Tableau
Visual Basic, SQL, VBA, Python

Benefits

5% matching 401k with no vesting period
Family leave
Healthcare and Dependent Care Flexible Spending Accounts

Desired Qualifications

Master’s degree from an accredited institution of higher education
Experience in graphic design
Training in and experience with more advanced statistical techniques

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1d ago

Data Engineer

GM Performance Power Units Concord, NC

Concord, NC

1d ago

Full time Python Amazon Athena Amazon Emr

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Job Description

GM Performance Power Units is seeking a Data Engineer to build and operate AWS-based data pipelines that support power unit test and performance activities. In this onsite role in Concord, NC, you will help make engineering data accessible and traceable, connecting test results to approved engine, build, and component identities for analysis and business use.

What you’ll do

Build and maintain ingestion pipelines for agreed dyno, test rig, instrumentation, and performance sources, using batch, file, or streaming patterns when the requirements call for them.
Preserve source files and key timestamps, units, calibration references, run identifiers, and acquisition context, then implement validation to surface missing or disputed context.
Create documented datasets and processing pipelines using Python and SQL, including duplicate prevention, late-data handling, checkpoints, and controlled replay.
Link test runs to approved engine, build, and serialized component identities, collaborating with system owners to resolve mismatches while keeping mappings traceable.
Prepare and publish agreed test and performance summaries from the AWS environment for use by the business and manufacturing data platform, supporting controlled data exchanges and the reference data needed to connect test results to engines, builds, and components.
Monitor data freshness, pipeline failures, processing performance, and cloud consumption, tuning storage, retention, and compute to meet engineering and cost requirements.
Use source control, peer review, automated checks, and controlled deployment, maintaining separate development and production configurations and protecting credentials.
Document pipelines, dependencies, and recovery procedures, train a nominated deputy, and contribute to an agreed support and incident response model.

Required experience

Practical experience building and supporting production data pipelines on AWS, including Amazon S3 and the supporting processing, orchestration, and monitoring services.
Strong Python and SQL skills, including work with large files, time-series data, and complex engineering datasets.
Understanding of incremental processing, idempotency, schema changes, data quality controls, and recovery from partial failures.
Experience with Git, code review, testing, and repeatable deployments, including infrastructure as code and CI/CD practices.
Knowledge of cloud access controls, service identities, encryption, and secure connectivity, partnering with infrastructure and security specialists.
Ability to diagnose failures, explain cost drivers, and document a service so another engineer can maintain it.
Ability to translate engineering requirements into clear data contracts and acceptance tests, with effective communication across technical and business colleagues.
Relevant qualification or equivalent practical experience, with evidence of delivered outcomes.

Technologies you may work with

AWS, Amazon S3
Python, SQL
Git
Infrastructure as code, CI/CD
Microsoft Fabric, Power BI, Power BI integration
Parquet, Delta Lake
Glue, Athena, EMR, Kinesis
Databricks

Benefits

Bonus scheme
Private healthcare
401(k) plan including company match
Employer-paid life insurance and disability coverage
32 days annual leave (including holidays)
Free financial advisor access
Employee Assistance Programs (EAP)
Subsidized on-site dining
On-site gym
Discounted GM vehicle purchase/lease program
Free on-site EV charging for personal GM vehicles

Preferred qualifications

Experience in automotive, motorsport, aerospace, manufacturing, or another test-intensive engineering environment.
Knowledge of dyno or rig data topics such as signal alignment, timestamp synchronization, calibration context, telemetry formats, and engineering metadata.
Experience with Parquet or Delta Lake, distributed processing, and AWS services such as Glue, Athena, EMR, Kinesis, or equivalent tools selected for the workload.
Experience with cross-cloud data exchange and Microsoft Fabric or Power BI integration, including linking test results to PLM, ERP, or lifing records.
Databricks on AWS where justified by processing needs, with Databricks experience beneficial rather than required.

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2d ago

Data Engineer

Robotics Technologies Plano, TX

Plano, TX

2d ago

Full time Backend Developer Python Amazon Web Services

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Job Description

This hands-on Data Engineer position at Robotics Technologies is based in Plano, TX (onsite). The role centers on designing, building, and maintaining reliable Python and AWS Glue-based data pipelines and connectivity solutions across enterprise data platforms, with support for modern data lake and lakehouse patterns.

Responsibilities

Build and maintain data pipelines using Python and AWS services.
Develop data ingestion and connectivity solutions for enterprise data platforms.
Work with AWS data lake services, including Amazon S3, AWS Glue, and AWS Lake Formation.
Use AWS CLI and EC2 to support day-to-day data engineering workloads.
Implement and maintain CI/CD pipelines using Jenkins and Bitbucket.
Troubleshoot data pipeline issues and improve data quality and reliability.
Collaborate with platform and engineering teams to support shared data services.

Requirements

Strong hands-on Python programming experience.
Practical AWS experience with S3, AWS CLI, EC2, Glue, and Lake Formation.
Understanding of data lakes and data pipeline development.
Experience with CI/CD pipelines, including Jenkins and Bitbucket.
Ability to build, test, troubleshoot, and maintain production data pipelines.

Technologies

The role involves working with Python, AWS, AWS Glue, Amazon S3, Lake Formation, AWS CLI, EC2, Jenkins, and Bitbucket. Additional technologies used include Snowflake, Databricks, Apache Iceberg, AWS Bedrock, Terraform, PySpark, and Apache Spark.

Preferred Skills

Experience with Snowflake, Databricks, and Apache Iceberg.
Experience with AWS Bedrock and exposure to AI agentic workflows.
Experience with Terraform, PySpark, or Apache Spark.

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3d ago

Data Scientist (LAP)

Ford Motor Company Louisville, KY

Louisville, KY

3d ago

$87k - $145k/yr Full time Python Analytics Artificial Intelligence

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Job Description

Join Ford’s Manufacturing team and help turn Industrial Internet of Things (IIoT) signals into practical insights. This on-site full-time Data Scientist role focuses on end-to-end analytics, from ingesting MQTT data to processing in Google Cloud Platform (GCP), building machine learning models in Python and SQL, and delivering results through interactive dashboards and visualizations.

You’ll work with manufacturing and automation data to support operational improvements and develop intelligent solutions. The role emphasizes validating models, analyzing both structured and unstructured datasets, and communicating findings clearly across cross-functional stakeholders.

Responsibilities

Develop and validate machine learning and statistical models aligned to business strategy.
Collect, manage, and analyze structured and unstructured data to power reporting and analytics.
Research and apply analytical methodologies and techniques to improve outcomes.
Partner with cross-functional teams to define objectives and produce actionable insights.
Interpret analytical results and present them to others.
Create comprehensive reports, projections, and visual presentations.
Follow established guidelines and contribute to strategic discussions.

Requirements

Bachelor’s degree in a quantitative field or 5+ years of experience in Data Science, IT, Statistics, or a related discipline.
Proficiency with tools and programming languages such as Python, R, and SQL (or similar).
Machine learning expertise, including predictive modeling, clustering, and regression analysis (desirable).
Strong experience working with both structured and unstructured datasets for reporting and modeling.
Excellent communication skills, including the ability to simplify complex concepts for diverse audiences.
Proven ability to work independently and use sound judgment on technical approaches.

Technologies you may work with

Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Dash, Streamlit, Flask, FastAPI, SQL, stored procedures, query optimization, GCP (BigQuery, Google Cloud Storage, Vertex AI, Dataflow, Pub/Sub, Dataproc), MQTT, ETL/ELT, IIoT, Rockwell Automation ecosystem, ControlLogix, PLCs, VFDs, Studio 5000, time-series analysis, classification, regression, clustering, OPTICS, DBSCAN, Tableau, Power BI, Looker, Bokeh, Git, Agile.

Benefits

Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, and subsidized back-up childcare
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members, plus management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time

Location: Louisville, KY (on-site)
Salary: USD 86,600 to 144,900 per year
Job Type: Full time
Work Type: On-site

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4d ago

Staff AI Engineer

Arm Seattle, WA

Seattle, WA

4d ago

$171k - $231k/yr Full time Backend Developer Python Agentic Ai

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Job Description

Arm is building an open-source platform for physical-AI agents that can interact with real devices across both cloud and edge environments. In this Staff AI Engineering role in Seattle, WA (onsite), you will design and deliver SDK and reference capabilities that help external developers evaluate, secure, and deploy agent-to-device experiences.

What you’ll build

Design and implement features across SDKs and reference services, covering both device-side and agent-side components.
Create reference applications and demos that connect agents to real devices across edge and cloud, leveraging PyTorch-ecosystem inference runtimes and popular agent frameworks.
Develop evaluation harnesses to measure reliability, latency, and correctness of agent-to-device interactions, then use results to improve the product.
Bring up and maintain a development hardware fleet including single-board computers, cameras, sensors, robot platforms, and edge servers for development, testing, and demonstrations.
Contribute to the platform’s security and operational posture, including identity, authorization, observability, and safe failure behavior.
Write clear documentation, samples, and learning materials for external developers, and support the open-source community through issues, reviews, and contributions.
Collaborate with architects, product managers, and partner engineers on requirements, API design, and release quality.

Requirements

Professional software engineering experience building distributed systems, with strong Python and working proficiency in at least one of C++, Rust, or Go.
Experience building and shipping AI-powered applications, including LLM tool use or agent frameworks, integrated with real systems.
Practical experience deploying ML models for inference on servers or edge devices, using PyTorch or a comparable framework.
Strong grounding in messaging, RPC, concurrency, failure handling, and testing for networked software.
Comfort with Linux, embedded single-board computers, containers, and CI/CD workflows.
Clear written and verbal communication across hardware, systems, and ML disciplines.
Degree or equivalent experience in Computer Science, Electrical Engineering, Robotics or a related field.

Nice to have

Experience with publish/subscribe messaging systems or IoT protocols.
Familiarity with Model Context Protocol or similar agent-tool interfaces.
Robotics or physical-AI background such as ROS 2, robot arms, perception pipelines, or control loops.
On-device inference experience with ExecuTorch, ONNX Runtime, or vendor NPU toolchains, plus LLM serving with vLLM or similar.
Experience designing evaluations or benchmarks for AI agents.
Contributions to open-source projects and experience supporting an external developer community.
Security fundamentals for connected devices.

Technologies

Python, C++, Rust, Go, PyTorch
LLM tool use, agent frameworks
PyTorch-ecosystem inference runtimes
Linux, containers, CI/CD workflows
RPC, single-board computers, embedded single-board computers

Compensation: USD 170,900 to 231,200 per year.

Additional information: No relocation package is available for this role.

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4d ago

AI Engineer

onsemi Scottsdale, AZ

Scottsdale, AZ

4d ago

Full time Python Ai Ml Analytics

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Job Description

This junior role supports the development and deployment of machine learning models and data analysis projects, with a focus on building practical AI solutions and maintaining reliable data and model operations. The position includes hands-on work across model development, data preparation, documentation, and cross-functional collaboration.

Role Overview

As a Junior AI and Data Science Engineer, you will assist in designing, developing, and deploying machine learning models and AI solutions. You will also support data cleaning and exploratory data analysis (EDA), contribute to data pipeline and model monitoring efforts, and document technical processes, models, and findings.

Responsibilities

Assist in designing, developing, and deploying machine learning models and AI solutions.
Perform data cleaning, preprocessing, and exploratory data analysis (EDA).
Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
Support the development of data pipelines and model monitoring systems.
Document processes, models, and findings clearly and concisely.
Stay up to date with the latest trends and advancements in AI and data science.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
Proven experience deploying AI/ML models in production environments.
Proficiency in Python, including libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch.
Familiarity with SQL and data visualization tools such as Matplotlib, Seaborn, and Power BI.
Understanding of machine learning concepts and statistical analysis.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.