10 of 10 Remote Exploratory Data Analysis Jobs

Data Scientist Location: Washington, DC (Hybrid) Work Type: Full Time Clearance: TS/SCI + DHS EOD Job Description: GridIron IT is seeking a Data Scientist with an Active TS/SCI Clearance. As a Data Scientist, you will be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and … refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams to identify relevant and permissible data sources, access available infrastructure, and to develop analytic products … computer science, data science, data analytics. Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization. Strong proficiency in programming languages such as Python. Agile development experience along with related technologies (e.g., Jira). Preferred Qualifications: Familiarity and experience with More ❯

Contract Opportunity: Data Engineer - 6-Month Inside IR35 Location: Milton Keynes (Hybrid - 3 Days in Office per Week) Duration: 6 Months IR35 Status: Inside IR35 Rate: Flexible, Depending on Experience We're looking for an experienced Data Engineer to join a project-focused team working on the development and implementation of a robust data model for banking … The engagement is inside IR35 , and rates are flexible based on experience. Role Purpose: You'll collaborate with a small technical team and liaise with IT to ensure the data model is effectively productionised. The ideal candidate will have strong technical data analysis skills, experience with big data technologies, and the ability to communicate complex insights … clearly to stakeholders. Key Responsibilities: Collaborate with a small team to build and refine a banking-focused data model. Liaise with IT teams to transition data models into production environments. Conduct data mining and exploratory data analysis to support model development. Apply strong SQL, Hadoop, and cloud-based data processing skills to manage More ❯

Position Description: CGI Federal has an exciting opportunity for a Data Scientist within our Intel sector advancing the national security mission through cutting edge technology. You must have a passion for keeping pace with rapidly evolving technology advancements and leveraging your knowledge on a highly collaborative team to deliver state-of-the-art capabilities. The Data Scientist analyzes … data to extract insights and develop solutions for business challenges, often involving machine learning and statistical modeling. They work with large datasets, build predictive models, and communicate findings to stakeholders. Their work bridges the gap between technical analysis and business strategy. CGI Federal is growing its high-performance team whose members share a passion for building high-quality … IT solutions in a collaborative, fast-paced, outcome-driven mission. This position is located in Arlington, VA however, a hybrid working model is acceptable. Your future duties and responsibilities: • Data Collection and Preparation: Gathering data from various sources, cleaning and transforming it for analysis. • Exploratory Data Analysis: Identifying trends, patterns, and insights within datasets. • Model More ❯

Job Title: Data Analyst (CLEARED) Location(s): Arlington, VA (Hybrid, candidates must live in the greater Washington, DC metro area) Workplace: Hybrid Clearance Required: MUST HAVE AN ACTIVE SECRET CLEARANCE ; an ACTIVE TOP SECRET is PREFERRED Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Scientists/Data Analyst of … all levels with active clearances interested in supporting the U.S. Government. When new cleared Data Analyst positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to … inform decision-making. Additionally, create and maintain comprehensive documentation of data processes and workflows. Requirements: Data Collection and Cleaning Database Management Exploratory Data Analysis (EDA) BI/Data Visualization Communication and Stakeholder Collaboration Anti-Money Laundering (AML) Experience Clearance Required: Current Secret required Must reside in the DC Metro area and be able to More ❯

development of AI-driven solutions from concept to deployment Prototype and maintain production-quality AI/ML models integrated with existing systems Conduct exploratory data analysis (EDA) on structured and unstructured datasets Build, train, evaluate, and validate machine learning models to ensure performance and reliability Collaborate with cross-functional teams to present AI approaches and tradeoffs to … AI/ML solutions in complex environments Technical Skills & Competencies: Proficiency with AI/ML frameworks, model building, and evaluation Experience with AWS cloud platforms and MLOps deployment Strong data analysis, feature engineering, and data modeling skills Excellent collaboration, communication, and problem-solving abilities Ability to lead technical discussions and integrate AI into mission-critical systems More ❯

edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines … using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Contribute to the … mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow More ❯

edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines … using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Contribute to the … mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow More ❯

TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Collaborate … with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark … ability to work independently or in a team. Typically, 5+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization Continuous learner that stays abreast with industry knowledge and technology Why Join Us? Work on impactful AI projects More ❯

TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Collaborate … with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Contribute to the mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong … ability to work independently or in a team. Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization Continuous learner that stays abreast with industry knowledge and technology Why Join Us? Work on impactful AI projects More ❯

be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when More ❯