Data Science & Machine Learning Jobs

We are a cloud-native cybersecurity and network analytics company based in Atlanta, GA, focused on providing cutting-edge security insights through advanced data engineering.. With a fully remote, highly collaborative environment, we empower our engineers to innovate and solve complex challenges in cloud-scale cybersecurity analytics.. ● Hands-on experience with AWS services like S3, Glue, Athena, EMR, Redshift, Lambda.. ● Familiarity with CI/CD, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation).. ● Fully remote with a modern, cloud-native environment.

Bachelor's Degree A Bachelor's degree in a quantitative/statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). Expertise in statistical data analysis and machine learning, including advanced techniques and models such as time series forecasting, neural networks, and NLP. Expertise in Python for advanced modeling and use of machine learning/statistical packages. Solve complex problems, lead group meetings, and partner with executives on product strategy. Leverages analytics effectively pre and post product launch and uses feedback to create actionable steps that grow and improve the product strategy and value.

EY delivers unparalleled cross functional tech consulting services in artificial intelligence, autonomous systems and modeling and simulation.. Proficiency in deep learning, machine learning, and data architecture design.. Focused on Business or Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.. Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale.

EY delivers unparalleled cross functional tech consulting services in artificial intelligence, autonomous systems and modeling and simulation. Proficiency in deep learning, machine learning, and data architecture design. Focused on Business or Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases. Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain

As a Principal Product Manager at Epicor, you will lead the strategic direction and execution of our AI-powered products and solutions across our Cognitive ERP portfolio. Supporting go-to-market strategies by working with Product Marketing to develop positioning, demos, enablement materials, and customer references. Experience leading cross-functional teams across engineering, UX, marketing, and data science. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Exposure to ETL pipelines, data engineering concepts, and supporting infrastructure.

The ideal candidate will possess a deep understanding of Natural Language Processing (NLP) techniques and methodologies, along with a proven track record of successfully implementing NLP solutions in Java-based environments.. If you are passionate about leveraging NLP to tackle real-world challenges and possess strong Java development skills Requirements Software Engineering experience BS Engineering/Computer Science or equivalent experience required Lead the design, development, and implementation of NLP algorithms and models using Java-based technologies.. Leverage machine learning and deep learning techniques to extract insights and derive meaning from unstructured text data Proficient knowledge of Java Develop efficient algorithms and pipelines for preprocessing, parsing, and analyzing large volumes of text data.. Evaluate the performance of NLP models and algorithms using appropriate evaluation metrics.. Women in Tech: LexisNexis Risk is supportive of women in Technology and has been a founding signature for the Tech Talent Charter.

Are you a System Administrator who is interested in developing your skills and deepening your experience related to Artificial Intelligence (AI)/ Machine Learning (ML) and Data Science (DS)?. Come support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics.. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights.. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely.. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

The Lead Big Data Engineer, working independently, will develop, test, debug and document software components commensurate with their experience as well as direct development staff in support of a software engineering effort.. Build efficient and reliable ETL processes using Apache Spark and cloud-native tools on AWS.Create configurable pipelines that accelerate experimentation and feature selection for data science teams.. FINRA offers immediate participation and vesting in a 401(k) plan with company match and eligibility for participation in an additional FINRfunded retirement contribution, tuition reimbursement, commuter benefits, and other benefits that support employee wellness, such as adoption assistance, backup family care, surrogacy benefits, employee assistance, and wellness programs.. Other paid leave includes military leave, jury duty leave, bereavement leave, voting and election official leave for federal, state or local primary and general elections, care of a family member leave (available after 90 days of employment); and childbirth and parental leave (available after 90 days of employment).. FINRA employees are required to disclose to FINRA all brokerage accounts that they maintain, and those in which they control trading or have a financial interest (including any trust account of which they are a trustee or beneficiary and all accounts of a spouse, domestic partner or minor child who lives with the employee) and to authorize their broker-dealers to provide FINRA with duplicate statements for all of those accounts.

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in Python, and a background in Big Data solutions. Strong Knowledge of AWS services (EKS, EC2, EBS, S3, Lambda) and their application to deployment and management of infrastructure. Proficient in configuration management tools such as Terraform and Ansible. Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc.

If so, we're looking for someone like you to join our team at APL. We seek a statistician to design experiments and analyze data to help us understand how artificial intelligence systems perform in real DoD use cases.. The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges.. At APL, we celebrate our differences and encourage creativity and bold, new ideas.. APL’s campus is located in the Baltimore-Washington metro area.. APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas.

The ideal candidate will possess a deep understanding of Natural Language Processing (NLP) techniques and methodologies, along with a proven track record of successfully implementing NLP solutions in Java-based environments.. Lead the design, development, and implementation of NLP algorithms and models using Java-based technologies.. Leverage machine learning and deep learning techniques to extract insights and derive meaning from unstructured text data. Evaluate the performance of NLP models and algorithms using appropriate evaluation metrics.. Stay abreast of the latest advancements in NLP research, methodologies, and tool

Are you a System Administrator who is interested in developing your skills and deepening your experience related to Artificial Intelligence (AI)/ Machine Learning (ML) and Data Science (DS)?. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights.. An interest in data science, data engineering, or machine learning. IT automation (e.g., SaltStack, Ansible, Terraform, etc.). Familiarity with NVIDIA GPUs and NVIDIA GPU appliances

The ideal candidate will have a strong background in machine learning and natural language processing (NLP), with a particular emphasis on large language models (LLMs) and generative AI. This role involves developing cutting-edge AI models to power AllSci's platform, enhancing the way scientific knowledge is processed and. Develop scalable, end-to-end NLP solutions tailored to AllSci's unique needs.. 4+ years of experience in NLP and machine learning, with a strong portfolio of projects.. Proficiency in programming languages such as Python and R.Expertise in deep learning frameworks like PyTorch and TensorFlow.. experience with cloud platforms like AWS, GCP, or Databricks, and in creating machine learning pipelines.

As a key member of our AI/ML team, you will be responsible for the training, hosting, and optimization of Large Language Model (LLM) instances within our compute environment.. · 12+ years of experience in software engineering, with a focus on machine learning or natural language processing.. · Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or MXNet.. · Experience with distributed computing frameworks like Apache Spark or Hadoop.. · Knowledge of DevOps practices and tools like Docker, Kubernetes, and Jenkins.

Currently seeking a skilled Data Analyst with actuarial expertise. Your primary responsibilities include the creation and maintenance of an exciting and important collection of advanced analytical solutions involving predictive modeling (statistical, machine learning), optimization and simulation. You will transform the data and engage in advanced feature engineering to develop the analytical solution and perform model validation. Must have ASA (Associate of the Society of Actuaries) designation.. Visualization tool experience helpful (Tableau, Spotfire, QlikView)

We're committed to innovating at the Edge: Harnessing the latest advancements in cyber, artificial intelligence, and machine learning to stay ahead of emerging threats and opportunities.. Strong Familiarity with programming languages such as Java, Python and Hadoop.. Strong background in data processing and analysis tools like Hadoop.. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility.

Applied Data Scientist Internship (DoD SkillBridge).. Active TS/SCI Clearance required; clearance level and polygraph level requirements may vary.. Experience within at least two (2) of the following skill areas: Mathematics/Statistics Computer Science Scripting Cloud Computing Data Mining, Metadata Analysis or Machine Learning Artificial Intelligence Data Visualization or Data Automation. Data science Advanced analytical algorithms Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data modeling and assessment Artificial intelligence Software engineering.. Experience or familiarity with data analytics and/or the following advanced scripting languages and tools: Python, SQL Jupyter Pig ELK Stack Splunk PowerBI Jupyter Notebooks

This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic enviornment and work closely with a goverment customer and IT developers to validate customer's data and data analytics requirements.. Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView).. Data scientist certification from AWS, Google, Microsoft, Oracle, or etc.. Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart.. Deep understanding of machine learning and artificial intelligence for logical applications and techniques.

Utilize AWS services and tools, including DBT and AWS Astronomer.. Deep expertise in PySpark, Apache Spark, and Python.. Proficient with SQL and NoSQL databases (e.g., DB2, PostgreSQL, Snowflake).. Experience with DBT and AWS Astronomer.. Skills: pyspark,docker,leadership,apache airflow,pipelines,sql,aws,etl pipelines,kubernetes,apache,cloud,nosql,apache spark,cd,big data,lead pyspark developer,data modeling,dbt,devops,python,ci,ci/cd,data

apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Spring boot, Microservices, Docker, Jenkins and REST API's experience.. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow