Data Science Innovation Specialist
2 weeks ago
At Unreal Gigs, we're seeking a highly skilled Data Science Innovation Specialist to join our team. This is an exceptional opportunity for a talented individual to make a significant impact on our business by leveraging their expertise in machine learning engineering.
About the Role:
- We're looking for a seasoned data science professional with a strong background in machine learning algorithms and software development.
- The ideal candidate will have hands-on experience building and deploying machine learning models using popular frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- You'll work closely with cross-functional teams to design and develop innovative solutions that drive business growth and improve decision-making processes.
Responsibilities:
Key Responsibilities- Design and Develop Machine Learning Models: Build and deploy scalable machine learning models using regression, classification, clustering, and deep learning techniques.
- Model Training and Hyperparameter Tuning: Experiment with different model architectures and optimize hyperparameters to improve model accuracy and efficiency.
- Data Processing and Feature Engineering: Collaborate with data engineers and scientists to preprocess, clean, and transform large datasets into formats suitable for machine learning.
- Deploy Models into Production: Implement machine learning models in production environments, ensuring scalability, reliability, and efficiency.
- Monitor and Improve Model Performance: Continuously monitor model performance in production, detecting issues such as model drift or degradation.
- Cross-Functional Collaboration: Work closely with software developers, product managers, and data scientists to integrate machine learning models into products and services.
Requirements:
Required Skills and Qualifications- Machine Learning Expertise: Strong knowledge of machine learning algorithms, including supervised and unsupervised learning techniques.
- Programming and Software Development: Proficiency in programming languages such as Python, R, or Scala, with experience writing production-level code.
- Data Engineering and Feature Engineering: Hands-on experience with data preprocessing, feature selection, and engineering.
- Model Deployment and DevOps: Experience deploying machine learning models into production using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker.
- Collaboration and Communication: Excellent collaboration skills, with the ability to work closely with cross-functional teams to translate business requirements into machine learning solutions.
Benefits:
What We Offer- Competitive Salary: $120,000 - $180,000 per year, depending on experience.
- Comprehensive Benefits Package: Health, dental, and vision insurance plans, with low co-pays and premiums.
- Flexible Work Arrangements: Telecommuting options and flexible work schedules.
- Professional Development Opportunities: Training, certification reimbursement, and career advancement programs.
- Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
- Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
- Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
- Tuition Reimbursement: Financial assistance for continuing education and professional development.
- Community Engagement: Opportunities to participate in community service and volunteer activities.
- Recognition Programs: Employee recognition programs to celebrate achievements and milestones.
Location: Remote work available. Must be willing to travel occasionally for meetings and training sessions.
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