About Us:
At Training Works, safety is at the core of everything we do. Our mission is to support workers and organizations in creating safer, more efficient workplaces. Through our flagship products, Skilltinuous and Fatigue Defence, we are addressing critical workforce challenges like benchmarked skills development and fatigue risk mitigation. Our passion is helping people and making safety a priority in the environments where it matters most. This commitment is embedded in our culture, and we’re looking for a Data Scientist with back-end development expertise to help us continue delivering on this vision.
**Please note: The candidate for this position must be able to pass an "Enhanced Reliability Status" check.
Role Overview:
The Data Scientist will be a key player in developing and optimizing the data infrastructure behind Skilltinuous and Fatigue Defence. This role requires a blend of data science, back-end development, leadership, and project management to manage large datasets, build algorithms, and ensure seamless project execution using tools like MS Project. The ideal candidate will have a passion for safety, a strong foundation in data science, and the ability to lead initiatives that prioritize the well-being of workers and organizations.
Key Responsibilities:
- Data Collection and Analysis: Design and implement efficient data collection processes for Skilltinuous and Fatigue Defence, providing accurate, real-time insights for safety-focused decision-making.
- Algorithm Development: Develop and refine algorithms to analyze biometric, environmental, and behavioral data, enabling the prediction and mitigation of safety risks like fatigue.
- Back-End Development: Build and maintain robust, scalable back-end systems that support real-time data processing and safety-driven analytics.
- Leadership & Project Management: Lead cross-functional project teams, using tools like MS Project to ensure timely, organized, and successful project completion.
- Data Visualization: Collaborate with UX/UI and product teams to create intuitive dashboards and visualizations using tools like Tableau, Power BI, or D3.js.
- Collaboration with Teams: Work closely with product managers, engineers, and UX designers to ensure data is effectively integrated into user-driven, safety-focused product features.
- Data Security & Integrity: Uphold high standards of data privacy and security, adhering to regulations such as GDPR and HIPAA, particularly in safety-critical environments.
- Machine Learning Integration: Leverage machine learning models (e.g., TensorFlow, PyTorch) to enhance predictive analytics and provide proactive safety solutions.
Qualifications:
Education:
Required:
- Bachelor’s degree in Applied Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field.
- 5+ years of relevant work experience in data science or data analytics.
Preferred:
- Master’s degree in Applied Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field.
Technical Skills:
- Programming Languages: Proficiency in Python, R, Java or JavaScript (React/Node) for data analysis and development.
- App Development Languages: Experience with languages like Java, Swift, or Kotlin for app development.
- Database Management: Expertise in SQL, Power Query, and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB). Familiarity with Oracle is a plus.
- Excel Skills: Proficiency in Excel, including lookups, power pivots, visualizations, and VBA macros.
- Back-End Development: Experience with cloud platforms (AWS, Azure, Google Cloud) and building APIs.
- Data Visualization: Proficiency in Tableau, Power BI, or D3.js for data visualizations.
- Data Manipulation Tools: Experience with Alteryx, Dataiku, and other data processing tools.
- Machine Learning: Experience with machine learning frameworks like TensorFlow, PyTorch, and predictive model development.
- Project Management Tools: Proficiency with MS Project for effective project management and task coordination.
- Real-Time Data Processing: Familiarity with real-time processing tools like Kafka or Apache Flink.
- Data Security: Strong understanding of data security and privacy regulations (GDPR, HIPAA).
Experience:
- Minimum 5+ years of experience in data science, analytics, and back-end development.
- Demonstrated leadership skills with the ability to manage cross-functional teams and projects using MS Project.
- Experience working with biometric and environmental sensor data in industries like mining, oil and gas, or manufacturing is preferred.
- Experience with ambiguous data, developing creative approaches to analytical problems, and interpreting data from a business perspective.
- Experience with data manipulation, integration, and management using Power Query, SQL, Oracle, or similar tools.
- Ability to communicate complex data and technical concepts clearly using MS Office tools such as PowerPoint.
Preferred Skills:
- Experience in industrial sectors such as mining, oil and gas, or manufacturing where safety is a critical concern.
- Prior work with fatigue-related technologies or biometric and environmental sensors.
- Familiarity with agile project management methodologies.
- Experience with data manipulation and processing tools such as Alteryx and Dataiku.
Our Commitment to Safety:
At Training Works, we are committed to safety and supporting human performance. The Data Scientist will play a vital role in developing innovative, safety-focused products. This is an opportunity to directly contribute to the well-being of workers and ensure that safety is at the center of every decision.
What We Offer:
- Work on cutting-edge technologies that prioritize safety and improve lives.
- A collaborative, innovative environment where your contributions matter.
- Competitive salary and benefits package.