Data Scientist Jobs (US) - May-2024

The Role:

Our fast-growing AI/ML team is looking for a highly-motivated Data Scientist with machine learning and Python experience to work on predictive maintenance (PMX) solutions using Virtualitics platforms. You will be responsible for prototyping and developing machine learning solutions for our customers. You will not only be helping sell our groundbreaking technology, but be a part of building a truly great company and culture.

Responsibilities:

• Build innovative data analytics and machine learning pipelines using VIP and Virtualitics Predict!
• Become an expert in predictive maintenance (PMX) and/or other fields and be able to attend conferences and assess competitive products.
• Meet with domain experts and present to stakeholders regularly.

Qualifications:

Must Haves:

• Degree in Computer Science/EE/Applied Math/Statistics.
• 2-3 years of professional working experience in Python data science stack: numpy, pandas, scikit-learn, tensorflow/pytorch, pyspark, dask, matplotlib, seaborn, bokeh, etc.
• Experience with the full Machine Learning lifecycle (inception to production).
• Experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.).
• Experience with Git (or an alternative version control tool).
• A strong sense of ownership and accountability; eagerness to learn skills as needed by business focus.
• Extremely high attention to detail.
• Excellent written and verbal communication skills. Comfortable with public speaking and presenting to executives
• Authorized to work in the US without sponsorship with the ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required by the DoD for security clearance.

Nice To Haves:

• Experience with predictive maintenance, digital signals processing, or similar.
• Experience with Natural Language Processing (NLP) or Computational Linguistics.
• Experience working with time series/temporal ML problems.
• Experience with competitor technologies.
• Experience working with big data and big data processing frameworks (e.g. Dask, Spark)
• Experience with technologies like task schedulers (e.g. Celery) and web-app development stacks (e.g. Flask/Django).
• Professional experience building production software.
• Available to work on site (Los Angeles).

Job Description:

• 7+ years of hands-on experience as a machine learning engineer or data scientist with at least 3 years focused on Natural Language Processing
• Hands on experience working with large data sets including data cleansing/transformation, statistical analyses, and visualization.
• Working knowledge of a wide range of machine learning concepts including statistics, Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep learning.
• Experience with NLP techniques such as entity extraction, dependency parsing, coreference resolution, topic modeling, language modeling, text classification, and transformer networks.
• Familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensor flow.
• Work with the following technologies: GATE, Java, Python, Bash, SPARQL, GraphDB, GitLab, Maven, Jenkins, Linux, Docker.
• Strong ability to communicate concepts and analytical results with business, management, and the technical team, highlighting actionable insights.
• At least 1 year of experience designing and building data-intensive solutions using distributed computing.
• At least 1 year of Machine Learning experience with an industry recognized machine learning framework (e.g., scikit-learn, PyTorch, Dask, Spark, or TensorFlow).
• Handling large-scale data processing and machine learning workloads and distributed systems using cloud native services on one or more Cloud Platforms (GCP, Azure and/or AWS).
• Understanding of algorithms, data structures and coding standards.

Job Description:

Highly complex business and operations problems at the forefront of Wheels Up require understanding and predicting factors involved in both short-term tactical and long-term strategic decision making. The Data Science Team within the Data organization at Wheels Up is essential in building models and algorithms to enable data-driven decision making via data products and services across the company. We are seeking Data Scientists at all levels to contribute to this group.

Responsibilities:

• Design, model, and implement data products and services that drive business impact through informed and/or automated decision making.
• Collaborate with engineers, product managers, and business stakeholders to understand data science needs and explore new opportunities for impact.
• Solve challenging data science problems utilizing various techniques in the field of AI/ML, statistics, optimization, and/or simulation.
• Leverage knowledge of software engineering principles to guide development and deployment of data science solutions in production.
• Maintain expert knowledge in the latest data science methods and tools with an emphasis on practical business applications.

Qualifications:

• An advanced degree (preferably Ph.D.) in Computer Science, Engineering, Applied Math or a related field.
• 3+ years of industry experience in building data products, in particular using high performance machine learning libraries and frameworks (e.g. PyTorch, Tensorflow).
• Strong programming experience in production environments using SQL and Python.
• Expertise in researching and developing models and algorithms for practical business problems, preferably in the logistics space.
• Comfortable with Azure eco-system.

Position Description:

Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as a Data Scientist for the Conditions Based Maintenance (CBM+) Program. The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government-provided PANDA platform. The Senior Analyst will mentor junior analysts in the areas of NLP related to automated or semi-automated data extraction and other elements of model development and will be the first line quality control check for data cleaning, WUC analyses, NLP models and resulting forecasts. This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer.

Essential Functions:

Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:

• Sustain existing WUC predictive failure models
• Support selection and analysis of new WUC predictive failure models
• Field newly approved WUC predictive failure models
• Generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
• Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
• Participate in user and stakeholder engagements and technical discussions
• Gather and provide feedback on best practices and recommended enhancements to the platform
• Document work performed in technical reports

Minimum Basic Requirements for Skills, Experience, Education and Credentials include:

• Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
• Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics.
• Understanding of Weibull distribution and use for modeling part failures
• Proven ability to drive key client communication and expectations
• Experience engaging clients and developing relationships at the highest levels of the Federal Government
• Strong communication skills and ability to understand business functionality
• Ability to foster positive business relationships
• Proven leadership abilities
• Excellent communication and interpersonal skills
• Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
• Able to travel as needed to meet with government customers and stakeholders

Preferred Qualifications Include:

• Advanced degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
• Active Secret Clearance
• Experience with Predictive Maintenance / Logistics
• Experience with sensor-based failure predictions and modeling
• Experience with Monte-Carlo simulation and calculation of confidence levels

Who We Need:

The Data Scientist is responsible for leveraging analytical skills, statistical knowledge, and machine learning expertise to derive meaningful insights from complex health-related datasets. Collaborate with cross-functional teams and contribute to the development of data-driven solutions aimed at improving healthcare outcomes and decision-making processes.

What You’ll Do:

• Analyze and preprocess large-scale health-related datasets to extract relevant information and identify data quality issues
• Perform exploratory data analysis (EDA) to gain insights into patterns, trends, and relationships within the data
• Develop data visualization techniques to effectively communicate findings to both technical and non-technical stakeholders
• Design and develop machine learning models to solve complex health-related problems, such as predictive analytics, risk stratification, disease diagnosis, and treatment optimization
• Implement various machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and natural language processing (NLP)
• Optimize and fine-tune machine learning models for improved performance, scalability, and interpretability
• Identify and engineer relevant features from structured and unstructured health data sources
• Design appropriate evaluation metrics and methodologies to assess the performance and generalizability of machine learning models
• Validate models using statistical techniques, cross-validation, and hypothesis testing
• Collaborate with domain experts to validate and interpret model results in the context of healthcare
• Collaborate with interdisciplinary teams, including data scientists, clinicians, researchers, and IT professionals, to define project goals, data requirements, and model deployment strategies
• Communicate complex technical concepts and findings to both technical and non-technical stakeholders through reports, presentations, and visualizations
• Stay up to date with the latest advancements in machine learning, healthcare informatics, and related fields to drive innovation and ensure the adoption of best practices

What You’ll Need:

Required Qualifications:

• Master's or Ph.D. degree in computer science, data science, bioinformatics, or a related field.

Knowledge, Skills, Abilities:

• Strong programming skills in languages such as Python or R
• In-depth knowledge of machine learning algorithms, statistical analysis, and data mining techniques
• Proficiency in using machine learning libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Experience with healthcare datasets is highly desirable
• Familiarity with data visualization tools (e.g., Tableau, matplotlib, Plotly) and SQL databases
• Strong communication and interpersonal skills, with the ability to collaborate effectively in multidisciplinary teams
• Demonstrated ability to translate business requirements into technical solutions and deliver high-quality results within given timelines

Experience:

• Proven experience as a Data Scientist or Machine Learning Engineer in the healthcare domain.