Job Description
About Us
Truve is pioneering the future of law firm management with a mission to simplify and optimize legal practice operations. As a comprehensive data hub, analytics, and productivity platform, Truve provides law firms with a unified, insightful view of their practice. By integrating multiple information systems into a single hub, our platform enables law firms to uncover machine learning insights, customize dashboards, and focus on profitable business areas.
The Role
We are currently in search of Cloud Data Scientists with a passion for innovation and a deep-seated curiosity. If you are motivated by the prospect of shaping the future of legal analytics, you could be an ideal fit for our team at Truve. This position provides a unique opportunity to join our core team and significantly contribute to Truve’s growth and success.
Logistics
Location: Remote
Working hours: Full Time – Overlap with 4-6 hours EST
Working Days: Monday – Friday
Contact: [email protected]
Responsibilities
- Develop analytics solutions to address business problems using tools from applied statistics and machine learning
- Lead discussions to validate the feasibility of AI/ML solutions in relation to business processes and outcomes
- Design, implement, and monitor data pipelines, while promoting the effective use of data through knowledge-sharing sessions
- Collaborate with product managers to enhance features by integrating advanced predictive models into our products
- Extract and analyze data to derive insights across the business process
- Construct advanced predictive models, continuously improving them with added features supported by appropriate infrastructure
- Facilitate training and access for cross-functional teams to foster their growth over time
- Engage closely with business stakeholders to understand and translate their analytics needs into actionable plans
Required Qualifications
- Bachelor’s degree in statistics, applied mathematics, or a related discipline
- 3+ years experience in data science or a related field
- Proficiency in data mining, mathematics, algorithms, and statistical analysis
- Experience with predictive modeling and pattern recognition
- 2+ years experience with SQL/GraphQL and programming languages like Python, Spark, TensorFlow
- Familiarity with version control systems (Git preferred) and cloud computing (AWS and DataBricks)
- Aptitude for learning and exploring new programming languages to leverage the best available technology
- Open-mindedness to unfamiliar data sources and quantitative domains
- Excellent analytical, problem-solving, and communication skills
- Strong interpersonal skills with the ability to work effectively in a team environment
Preferred Qualifications
- Knowledge of statistical programming languages like Python and database query languages like SQL, Hive, and Pig. Familiarity with GraphQL is a plus.
- Solid applied statistical skills, including knowledge of statistical tests, distributions, regression, and maximum likelihood estimators
- Good understanding of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, and Decision Forests
- Strong mathematical foundation, particularly in multivariable calculus and linear algebra
- Experience with data visualization tools like matplotlib, ggplot, d3.js., and Tableau for visually encoding data.
