Data Scientist II

Lighthouse Document Technologies Inc

7h

About The Position

Lighthouse is built on a foundation of unique, compassionate, highly driven individuals.   We elevate the strengths and talents of those around us while leveraging opportunities for growth. We offer the experience of solving complex problems while continuing to grow multiple facets of your career. Lighthouse is where innovation meets support and where collaboration is the key ingredient to success.  We grow together and are stronger together.

What’s unique about this role?

The Data Scientist II will play a crucial role in developing and delivering the next generation of eDiscovery intelligence products. They will work closely with the development team to implement accurate data models and scalable systems for real-time/near real-time analytics, and incorporate NLP and document classification technology to deliver predictive intelligence to customers. The Data Scientist II will apply advanced machine learning and statistical techniques to generate actionable outcomes, and solve complex business problems in an agile and collaborative environment. They will be a key contributor to the company's product line, focusing on accuracy, scalability, and predictability.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field, with strong academic background in machine learning and statistics. Alternatively, equivalent work experience of 3-5 years or a Ph.D. in a related field may be considered.
• Proven experience of 3-5 years in developing and implementing advanced machine learning models using programming languages and database systems. Alternatively, Ph.D. graduates may have relevant experience in their research area.
• Strong analytical and problem-solving skills, with ability to communicate findings effectively to technical and non-technical audience
• Demonstrated ability to drive innovation, solve complex business problems, and deliver value for the company in a fast-paced and dynamic environment.

Nice To Haves

• Advanced knowledge and experience in statistics, machine learning, and predictive modeling, with expertise in R or Python and SQL databases
• Proficiency in developing and implementing complex data models using statistical and machine learning techniques, conducting exploratory data analysis, and testing and validating models
• Detail-oriented and analytical mindset with excellent written and verbal communication skills, and ability to work collaboratively with cross-functional teams in a fast-paced and dynamic environment

Responsibilities

• Design and build highly accurate machine learning models for the next generation of eDiscovery intelligence products
• Contribute to the engineering of scalable systems for real-time/near real-time analytics for existing and new products, and incorporate new technology and tools to deliver predictive intelligence to customers
• Collaborate with cross-functional teams to develop and implement data models that drive predictability, solutions, and analytics for eDiscovery intelligence products, and apply advanced machine learning and statistical techniques to generate actionable outcomes
• Develop insights to support the growth of the product line, determine appropriate statistical and machine learning algorithms, and provide technical recommendations on buy vs. build decisions for different components of the data analytics infrastructure.
• Perform other related duties as assigned.

Benefits

• Lighthouse offers a comprehensive quality benefits package including, medical, dental, vision, and a 401k with company match.
• Company paid benefits also include Life & AD&D, short and long-term disability, telemedicine, and other wellness plans.
• We offer a generous Flexible PTO program and paid volunteer days.
• Employees may also participate in voluntary insurance plans including accident, hospitalization, and critical illness plans as well as pet insurance.
• This role will be eligible to participate in an annual bonus or incentive program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level