Principal Applied Scientist
Salt Lake City, UT · On-site +1
$134K - $202K/yr
Posting Type Remote/Hybrid Job Overview At Relativity, we build technology that helps people ... Statistical Models, Technical Leadership #J-18808-Ljbffr
Principal Applied Scientist
Salt Lake City, UT · On-site +1
$134K - $202K/yr
Posting Type Remote/Hybrid Job Overview At Relativity, we build technology that helps people ... Statistical Models, Technical Leadership #J-18808-Ljbffr
Applied Statistics Remote information
What is an Applied Statistics Remote job?
An Applied Statistics Remote job involves using statistical methods and data analysis techniques to solve real-world problems, all while working from a remote location. Professionals in this field collect, analyze, and interpret data to provide insights for decision-making across various industries such as healthcare, finance, and technology. Remote applied statisticians often collaborate virtually with teams, utilize statistical software, and communicate findings through reports or presentations. This role requires strong analytical skills, proficiency in statistical tools, and the ability to work independently.
What are the key skills and qualifications needed to thrive as an Applied Statistics professional in a remote role, and why are they important?
To thrive as an Applied Statistics professional working remotely, you need a solid background in statistical theory, data analysis, and a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as R, Python, SAS, or SPSS, and familiarity with data visualization tools are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills are essential for interpreting data and collaborating virtually. These skills ensure accurate analyses, clear insights, and successful teamwork, which are crucial for delivering impactful statistical solutions in a remote environment.
What is the difference between Applied Statistics Remote vs Data Analyst?
| Aspect | Applied Statistics Remote | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Statistics, Mathematics, or related field | Bachelor's in Statistics, Data Science, or related field |
| Work Environment | Remote, often project-based or contract roles | Remote or on-site, typically in corporate or tech settings |
| Industry Usage | Research, academia, consulting, tech companies | Business, finance, marketing, tech companies |
| Common Search/Comparison | Applied Statistics Remote | Data Analyst |
Applied Statistics Remote and Data Analyst roles share similar educational backgrounds and often work in remote environments. However, Applied Statistics Remote roles tend to focus more on statistical modeling and research, while Data Analysts often handle data visualization and reporting for business insights. Both roles are in high demand across various industries, with Applied Statistics Remote positions leaning more toward research and academic projects.
How does working remotely in an applied statistics role influence collaboration and project management with cross-functional teams?
In a remote applied statistics position, collaboration often relies on digital tools such as video conferencing, shared code repositories, and project management platforms. Statisticians frequently work with data scientists, engineers, and business stakeholders, making clear communication and documentation essential for successful project outcomes. Regular virtual meetings and asynchronous updates help align team objectives and ensure data-driven insights are integrated effectively. While remote work offers flexibility, it also requires proactive engagement to stay connected and maintain productivity within a distributed team environment.
What are the most commonly searched types of Applied Statistics jobs in Utah? The most popular types of Applied Statistics jobs in Utah are:
What are popular job titles related to Applied Statistics Remote jobs in Utah? For Applied Statistics Remote jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Applied Statistics Remote jobs in Utah look for? The top searched job categories for Applied Statistics Remote jobs in Utah are:
What cities in Utah are hiring for Applied Statistics Remote jobs? Cities in Utah with the most Applied Statistics Remote job openings:
$134K - $202K/yr
Full-time
Re-posted 2 days ago
Job description
Posting Type
#J-18808-LjbffrRemote/Hybrid
Job OverviewAt Relativity, we build technology that helps people uncover the truth in complex data. Our software (SaaS) empowers legal professionals, governments, and organizations around the world to navigate high stakes matters with confidence, clarity, and integrity. By combining advanced AI, powerful analytics, and cloud-based technology, we help teams make sense of massive volumes of information and move critical work forward faster and more accurately. Every role at Relativity contributes to creating scalable, secure, and intelligent solutions with real-world impact-while fostering a culture where curiosity, collaboration, and inclusion thrive and where employees help shape the future of legal technology.
Department DescriptionThe AI and Applied Sciences department at Relativity drives innovation by developing advanced AI solutions and applied research to solve complex legal and compliance challenges.
Job SummaryThe Legal Data Intelligence SME will bring expertise as a practicing litigator and deep knowledge of discovery. You'll draw on this expertise to help us build and evaluate our key generative AI capabilities. You'll interface with other litigators, both helping us explain how our technology operates to them and taking their feedback and providing it back to our applied science team, conveying the nuances of both the technology and the needs of the litigator persona as you do so. This role bridges legal expertise with technical innovation, guiding the design and deployment of solutions that optimize data intelligence for legal workflows.
Job Description and Requirements Job Responsibilities- Contribute to Relativity applied science strategy by leveraging your subject matter expertise to design, build and improve our tests, benchmarks, and other evaluation systems for our generative AI solutions.
- Work internally with our applied scientists, product managers, designers, engineers, and customer enablement teams to provide internal feedback and suggestions on the enablement, performance, usability, and functionality of our generative AI solutions.
- Work externally with our clients and our industry to explain how our generative AI systems work and to receive their feedback on the performance of our generative AI in analyzing and classifying documents, identifying information that needs to be protected, and extracting and curating knowledge.
- Develop and deliver training and documentation for internal teams on legal data intelligence workflows and best practices.
- A Juris Doctorate and at least 3-5 years of experience as a practicing attorney; some but not all of this requirement may be satisfied by equivalent experience working for a legal service provider or legal technology vendor.
- Deep interest in the use of generative AI to responsibly advance the practice of law and access to justice.
- Strong and clear communicator, able to synthesize and communicate complex technical concepts and results to internal and external audiences.
- Experience in discovery or legal technology platforms.
- Experience working with cross-functional teams.
- Significant litigation experience and deep understanding of the processes of investigations and litigation, including discovery and pre-trial practice.
- At least 5 years of experience as a practicing attorney.
- Strong understanding of the traditional EDRM and broader Legal Data Intelligence use cases and workflows.
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between $134,000 and $202,000.
The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
Required SkillsAlgorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership