Senior Data Scientist

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Senior Data Scientist

XOi Technologies is powering a world in which people and equipment are connected decisions are transparent and quality outcomes are predictable. XOi is the market leader in “curb-to-curb” technician enablement solutions empowering techs to safely capture—and access—critical job site information launch remote support and provide customers photos and videos of recommended and completed work. Field services technicians across the nation utilize our suite of products to increase efficiency and performance on the job streamline communication build skills and gain data insights to be unlocked and shared with the entire ecosystem.

We are looking for a Senior Data Scientist who is well versed across traditional Machine Learning (ML) Deep Learning (DL) NLP OCR and has experience leveraging Large Language Models (LLM) to drive powerful insights and actionable recommendations that empower our customers and users. You will work with unstructured and structured data from millions of jobs completed by our users including documents images and videos. You will own complex data problems from concept to deployment. You will have an opportunity to leverage your expertise as a Data Scientist to impact critical business solutions.

Our ideal candidate:

Customer first:

• You love tackling complex and challenging data questions and delivering innovative solutions to real-world data problems

• Able to effectively work cross functionally (Product Engineering etc) in scoping data science projects and problems and adhering to defined deadlines

Full-cycle AI Solution Development:

• You have built end-to-end solutions from ideation to deployment including testing and ongoing training of models.

• Proficient with OCR Computer Vision NLP Search Recommendation and Generative machine learning systems.

• Solid understanding of Large Language models (LLMs) and foundational models with practical experience in related concepts like RAG fine tuning and prompt engineering

• Comfortable with DevOps/ MLOps for model release management and deployment

Technical:

• Hands-on developing data science solutions using open-source tools languages and cloud computing platforms preferably AWS.

• Proficient with the following (or related): Python scikit-learn numpy pandas spaCy

• You understand the algorithms underlying DNNs GANs GPTs CNN RNN NLP

• Proven track record implementing ML experiments using both structured and unstructured data

• Committed to creating strong evaluations and ensuring quality is forefront to model development and training

• Able to communicate complex technical concepts to non-technical audiences

• Tech Stack: Git Python and Python frameworks Tensorflow PyTorch AWS (EC2 RDS DynamoDB S3 Lambda and Sagemaker) Snowflake and Docker

Optimized Model Performance: Analysis and Interpretation:

• Experienced establishing project success metrics and analyzing and interpreting model performance

• Experienced in predictive modeling

Innovative:

• You continually research and evaluate emerging technologies published state-of-the-art methods and applications and seek out opportunities to apply them.

• You aren’t afraid to experiment and have a track record of implementing ML experiments using both structured and unstructured data

Data Analysis and Modeling:

• Leveraging analytic modeling statistical analysis programming and/ or another appropriate scientific method develop and implement qualitative and quantitative methods for characterizing exploring and assessing large datasets in various states of organization cleanliness and structure that consider unique features and limitations that may exist in the data

• You have outstanding data skills to extract connect and analyze data from a variety of structured and unstructured sources. You know great data science begins with great understanding of the data.

Qualifications:

• 5-7+ years of hands-on experience in Data Science and AI

• Master’s degree in Computer Science Statistics Mathematics or related fields

• Strong programming skills using Python and Python-based frameworks (eg Tensorflow PyTorch)

• Strong understanding of commonly used Machine Learning and Deep Learning algorithms processes tools and platforms (eg HuggingFace)

• Proficient working with large structured and unstructured data sets incorporating NLP and OCR to solve problems. Computer Vision is a bonus.

• Practical experience working with Large Language Models and using GPT or other Transformer models for NL Search and information retrieval

• Proficient using AWS and appropriate services including but not limited to Lambda EC2 S3 DynamoDB etc

• Proven experience working with complex data structures to drive query efficiency for search and analysis while executing ML tasks

• Experienced leveraging modern tools for building predictive models from ground up using ML pipelines at each stage including data processing training inference deployment and evaluation

• Thrive working independently or as part of a team