Data Science & AI Applications Manager
Posted on 9/26/2023
INACTIVE
BambooHR

1,001-5,000 employees

Cloud-based HR management software for SMEs
Company Overview
BambooHR is a leading HR software provider that offers an intuitive, cloud-based system, enabling HR teams to be more strategic and efficient in managing essential employee information. The company's culture is characterized by helpfulness, kindness, and a focus on human factors, creating a positive work environment. Their competitive edge lies in their ability to consolidate multiple systems into one, providing a seamless experience for employees and significantly improving HR task completion rates.
Data & Analytics

Company Stage

N/A

Total Funding

N/A

Founded

2008

Headquarters

Lindon, Utah

Growth & Insights
Headcount

6 month growth

3%

1 year growth

2%

2 year growth

22%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
Tensorflow
Git
Data Structures & Algorithms
Pytorch
Apache Spark
SQL
Natural Language Processing (NLP)
CategoriesNew
AI & Machine Learning
Requirements
  • 12+ years of experience deriving insights from data and building computational software (data science, machine learning, AI, and implementing data-centric software and systems)
  • 5+ years of real-world, demonstrable technical leadership
  • Strong technical foundations in wielding data (data querying / transformation / visualization, machine learning, deep learning, stats, math, NLP, generative AI and LLMs)
  • Proficiency in git-based workflows with AI and machine learning tools
  • Analytical and problem-solving skills, with the ability to translate business requirements into technical solutions
  • Exceptional interpersonal and communication skills, distilling complex technical concepts and insights
  • Leadership and project management skills to prioritize tasks, manage resources, and meet deadlines
Responsibilities
  • Manage data scientists, machine learning engineers, and software engineers building AI-powered applications
  • Demonstrate leadership and patience through regular coaching and mentoring in individual and team settings
  • Provide technical guidance and foster a culture of continuous learning and innovation
  • Consult with product management, UX designers, tech leads and business stakeholders to explore and deliver AI-enabled software solutions and platform capabilities
  • Oversee the development and deployment of machine learning models, algorithms, and intelligent services to extract insights and create value for customers and the business
  • Ensure the quality, accuracy, and reliability of data science and AI applications through rigorous testing, validation, and monitoring
  • Collaborate with IT teams to ensure availability, scalability, and security
  • Manage and maintain your team’s execution roadmap, including grooming a pipeline and delivery expectations
  • Show and maintain accountability in team and individual performance (yours and others) in research and development efforts, project delivery goals, and OKRs
  • Participate in department hiring efforts
  • Contribute to the ongoing improvement of our systems and processes
  • Stay up-to-date with relevant advancements and evaluate their potential application
  • Be a strong culture addition and advocate for our company values
  • Come to work, do great things, then go home!
Desired Qualifications
  • Proficiency in documenting processes and monitoring performance metrics
  • Demonstrated experience delivering machine learning projects, and scaling data solutions and intelligent applications
  • Development expertise in languages and tools such as Python, Clojure, SQL, LLMs, Spark, and data science libraries and frameworks (TensorFlow, PyTorch, scikit-learn)
  • Solid understanding of data engineering principles, data management, and data governance
  • Skill with analytical data stores such as Snowflake, Databricks, and in-house application data
  • Experience deploying and maintaining production AI applications in cloud environments, ideally in support of continuously deployed SaaS applications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. PhD is a plus