• Work closely with Sr. Developer and other analysts to develop custom solutions related to extracting, analyzing, and processing large and small data sets
• Develop custom NLP ML models to categorize text and extract entities and other relevant information
• Integrate a variety of data sources, both local and third-party, via API and custom interfaces
• Develop custom extraction methodologies to extract text from PDF and other document sources
• Work closely with product managers and PM on projects
• Document processes into technical requirements
• Identify opportunities to leverage internal and external data sources to create value for Firm lawyers and operations – including marketing, pricing efficiencies, talent, and retention
• Researching and staying up-to-date with the latest machine learning tools available
• Collaborate with technical and non-technical stakeholders through every step of the software development life cycle
• Communicate with the team and stakeholders on a regular basis
• Work with analysts to extract, normalize, and label data sets
• Deliver software applications from beginning to end, including collecting data, building and testing software implementations, and deploying completed projects

• To support the health and safety of our teams and work spaces, we require employees to be fully vaccinated against COVID-19 or to have received an approved accommodation based on medical condition or sincerely held religious belief or practice. Please let us know if you’d like to discuss the policy or available accommodations before proceeding with our recruitment process.
• Bachelor’s degree or equivalent work experience
• Strong proficiency in Python and R
• Experience handling large datasets and using data visualization tools
• Strong working knowledge of various NLP platforms such as CoreNLP, spaCy, and/or other NER-related tools as well as associated machine learning algorithms, including BERT, FastText and/or ELMo
• Familiar with machine learning libraries such as TensorFlow, Scikit-learn, or PyTorch
• Strong proficiency in ETL process
• Knowledge of software engineering practices including clean coding, code reviews, version control, build processes, testing, etc.
• Significant experience generating structured “clean” data from unstructured text documents, including extracting from the text of the document itself as well as associated metadata
• Experience with querying third-party data sources via GraphQL, rest, or other methods
• Self-starter capable of working remotely and with little supervision and able to work through and resolve technical issues on their own
• Experience with business intelligence software such as Tableau and Microsoft Power BI is a plus
• Knowledge of AutoML and/or GPT-3 is a plus

Please note, we are not working with outside recruiters for this position.

In accordance with the Colorado Equal Pay for Equal Work Act, the expected salary range for this Colorado position is between $70,000 and $90,000. Actual pay will be adjusted based on experience and other job-related factors permitted by law. This position qualifies for the below staff benefits.

Ogletree Deakins offers a robust suite of benefits for our Staff including: Paid Time Off, Sick Time, a 401(k) matching program, Profit Sharing, Paid Holidays, Paid Parental Leave, affordable Health and Life Insurance including Dental & Vision coverage, Health Savings Account /Flexible Spending Accounts to help offset the cost of dependent care and/or health care expenses, Teladoc (24/7 access to a doctor by phone or online video), Tuition Reimbursement and an Employee Assistance Program.