Director of Data Science & Machine Learning
Pittsburgh, PA
Applications have closed
At Govini, the Director of Analytics & Machine Learning is responsible for managing the data science discipline and team, including AI/ML development and maintenance, data quality, and KPI design and development. You will collaborate with Product, Sales, and Engineering in a cross-functional functional capacity to deliver high-quality, decision-grade data and analytics to our National Security customers. You thrive under pressure and are eager to solve new challenges. You are passionate about recruiting and developing top data science talent. You are a technology and data nerd who strives to always deliver the best product to our customers. You will push the boundaries of AI/ML possibilities and always look for new ways to leverage models to drive new insights and customer value. You don’t hesitate to identify problems and take the lead in finding the answers. You are a self-starter who leads by example.
This is a full-time team member position, working in our Pittsburgh, PA office.
Scope of Responsibilities
- Manage the teams of data scientists, data analysts, and machine learning engineers to execute product initiatives, including data source analysis, quality control, AI/ML model implementation, and indicator (KPI) development
- Understand our data assets on a detailed level and train others; you are the data subject matter expert
- Constantly seek out new tools to deliver scope faster with higher quality
- Become an expert in the National Security domain, and speak from a position of authority to internal and external customers as it pertains to leveraging Govini data and analytics
- Hire the best talent and continuously train, coach, and mentor your team members to grow and perform at their highest level
- In collaboration with the Product and Engineering departments, define the AI/ML roadmap
- Drive continuous process improvements to enhance the overall quality and throughput of data pipelines and resulting analytics; identify and implement best practices across your core teams
- Constantly innovate and never settle for the status quo
Qualifications
- In order to do this job well, you must be a highly competent technical leader. You can instruct your teams on how to perform their duties because you have done it, and you lead by example. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple solutions to complex problems. You truly enjoy delivering customer value, and take pride in your work. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy.
- Candidate must be a US citizen.
- Master's degree in Statistics, Computer Science or a related technical field
- Minimum 8 years of direct, hands-on data science work including model development, statistical analysis, indicator development, and related programming languages such as Python and R
- Minimum 5 years of people management, specifically running data science, software/data engineering, or other technical teams
- SQL mastery
- Experience developing and deploying business intelligence (BI) tools and insights to both internal and external customers
- Understanding and appreciation of the product management discipline; ideally you have worked within a product organization in your past experience
- Strong communication skills, across all levels of the organization
- Experience with developing and maintaining Data Science solutions in AWS environments
- A burning desire to work in a challenging, fast-paced environment and grow professionally
- Experience and interest in National Security
- Experience with common Big Data technologies (Hadoop, Spark, or other) for processing large data sets
- Experience working in a startup or other entrepreneurial environment
Required Skills
Desired Skills
Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Business Intelligence Computer Science Data pipelines Data quality Engineering Hadoop Machine Learning ML models Pipelines Python R Security Spark SQL Statistics
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs