Job Title: Senior Data Scientist
Location: Remote
Position Summary:
Join Apkudo and bring your unique skills to a team where innovation and impact go hand in hand! In this role, you'll leverage advanced analytics, machine learning, and statistical modeling to drive data-driven decisions and optimize processes. You’ll work closely with cross-functional teams to develop predictive models, extract insights from complex datasets, and support strategic initiatives. If you're passionate about turning data into actionable intelligence and solving real-world challenges, we’d love to have you on board!
What you’ll do:
Machine Vision-Based Defect Detection & Cosmetic Grading:
- Model Development: Design, develop, and deploy deep learning models (e.g., convolutional neural networks - CNNs) for automated defect detection and classification using high-resolution images of mobile devices.
- Image Processing: Implement advanced image processing techniques (e.g., segmentation, feature extraction, augmentation) to enhance defect visibility and model accuracy.
- Cosmetic Grading Automation: Create and refine models to accurately assign cosmetic grades based on detected defects, aligning with market standards and internal criteria.
- Data Pipeline Management: Build and maintain efficient data pipelines for image acquisition, annotation, and model training.
Predictive Modeling for Device Condition & Valuation:
- Multi-Modal Data Integration: Integrate machine vision data with structured data (e.g., device specifications, test results, usage history) and unstructured data (e.g., user reviews, repair logs) to build comprehensive predictive models.
- Component Failure Prediction: Develop models to predict the probability of component failures based on usage patterns, environmental factors, and device history.
- Market Value Prediction: Create sophisticated models to predict the market value of devices based on cosmetic condition, functional status, and market trends.
- Feature Engineering: Perform advanced feature engineering to extract meaningful insights from diverse data sources, improving model accuracy and interpretability.
Robotic Processing Line Monitoring & Alerting:
- Real-Time Anomaly Detection: Develop models for real-time anomaly detection on the robotic processing line, identifying potential defects and process deviations.
- Reporting & Visualization: Create interactive dashboards and reports to visualize key performance indicators and provide actionable insights for process optimization.
- Predictive Maintenance: Develop models to predict potential equipment failures and schedule preventative maintenance, minimizing downtime.
Generative AI Applications:
- Synthetic Data Generation: Utilize generative AI models (e.g., GANs, VAEs) to generate synthetic image data for model training, addressing data scarcity and improving model robustness.
- Test Data Augmentation: Apply generative AI to augment test data, creating diverse and challenging scenarios to improve model generalization.
- Data Anomaly Generation: Use Generative AI to generate anomalous data to better train anomaly detection models.
- Exploration of new GenAI applications Research and implement new GenAI applications to device test data.
What you’ll need:
- Advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Mathematics, or a related field.
- Four years of experience in developing and deploying deep learning models for computer vision and predictive analytics.
- Proficiency in programming languages (Python) and deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of image processing techniques and machine learning algorithms.
- Experience with data warehousing and big data technologies.
Our Core Values:
- Hooked on customers. Our passion for innovation propels our customers forward. We thrive on solving our customers’ problems, big and small.
- We communicate confidently and with generosity. We not only spread ideas, but we also spread understanding to help every team succeed.
- Champion the use of data. We use data to build solutions to problems, promote collaboration, and inform decisions for us and our customers.
- Proudly accountable. We follow through because the alternative is not an option. Every word, every action, and every result reflect the improvements we seek to make.
- Be you. We bring our whole selves to our work, our teams, and our customers. The collective ‘we’ will shine bright for all to see.
- I have your back. Trust and respect each other to do the right thing when someone needs an extra hand. We go farther together than we do alone.
- It matters how we show up. Sometimes bold, sometimes brave, always curious. We expect more of ourselves to be our best for the team.
What you can expect from us:
- Annual leave - 20 days of paid annual leave per year
- Holidays - Generous paid holidays, including a day off for your birthday.
- Paid parental leave benefits - 12 weeks (2 weeks prior, 10 weeks following) of paid parental leave for eligible regular full-time employees
- Casual dress - We offer a casual dress code so you can feel comfortable and be yourself at work.
- Flexible Working Arrangements - Apkudo supports a healthy work-life balance by offering flexible working hours and remote or hybrid work setups. Please note that the availability of flexible working arrangements may vary based on the specific role and business requirements.
- Tuition reimbursement - Up to $5,250 per year for financial assistance for continuing education, certification courses, or degree programs related to your role.
- Wellness Stipend - Monthly stipend to support health and wellness activities, such as gym memberships, yoga classes, or wellness apps.
- Tech Stipend - Monthly stipend to assist with purchasing or upgrading technology equipment for optimal productivity.
- Benefits - Comprehensive benefits package that includes medical, dental, and vision insurance. Please note that benefit offerings may vary based on your location.
*Please note that fringe benefits provided may be subject to local tax regulations.*
About Apkudo:
Our Vision
Devices connect the world. We help ensure there will still be a world to connect.
This is ambitious, on purpose. We must lean into our shared passion for change and do whatever it takes to do our part to regenerate resources and build sustainable processes and behaviors to leave the world a better place.
Those who do good, do well.
The Fine Print:
We are a dynamic organization, and the responsibilities and scope of this role (like all roles at Apkudo) may evolve as we continue to adapt and grow.
This position is exempt under the Fair Labor Standards Act (FLSA).
Note: Apkudo is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristics.