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Data Analysis
Data Scientist 4
@Granicus
[Hiring] Data Scientist 4 @Granicus
Mar 25, 2025 - Granicus is hiring a remote Data Scientist 4. 💸 Salary: unspecified. 📍Location: USA, UK, Canada, India, Australia, New Zealand.
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Role Description
We are seeking an experienced Data Scientist III to join our team. In this role, you will manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring. You will apply advanced techniques in Python programming, machine learning (ML), deep learning (DL), and generative AI to address complex challenges and develop high-impact solutions. Your role will involve leading projects, collaborating with cross-functional teams, and driving data-driven decision-making across the organization.
- Advanced Model Development: Design, develop, and implement sophisticated machine learning and deep learning models for applications such as customer churn prediction, recommendation systems, and advanced anomaly detection.
- Programming and Libraries: Utilize Python and its advanced libraries (e.g., TensorFlow, PyTorch, Scikit-learn) to build and optimize models.
- Generative AI Exploration: Leverage cutting-edge generative AI techniques to create innovative solutions for complex problems and enhance engagement strategies.
- Leadership and Collaboration: Lead cross-functional teams, including product managers, engineers, and data analysts, to translate business needs into effective data-driven solutions.
- Integration and Deployment: Oversee the integration of models into production systems, ensuring seamless deployment and performance.
- Pipeline Management: Develop and maintain robust data pipelines for ingestion, transformation, and model training.
- Performance Monitoring: Continuously monitor model performance, conduct evaluations, and implement improvements as necessary.
- Communication and Strategy: Communicate complex technical concepts clearly to stakeholders and contribute to strategic data science initiatives.
- Best Practices and Innovation: Drive the development of best practices, tools, and frameworks for data science and machine learning, staying abreast of industry advancements.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 7-9 years of experience in data science, machine learning, or a relevant domain.
- Proficiency in Python programming and extensive experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven track record of delivering production-ready AI/ML solutions.
- Strong expertise in machine learning and deep learning algorithms and techniques.
- Experience with generative AI models and advanced data science techniques.
- Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib).
- Experience with cloud platforms and big data technologies (e.g., AWS).
- Excellent problem-solving, analytical, and leadership skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
Requirements
- Experience with advanced techniques such as graph neural networks, reinforcement learning, or similar.
- Familiarity with agile development methodologies and DevOps practices.
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Contributions to open-source projects or published research in machine learning, deep learning, or generative AI.
- Experience working with government or public sector data.
- Proficiency with data visualization tools (e.g., Tableau, Power BI).
Benefits
- Hospitalization Insurance Policy covering employees and their family members including parents.
- All employees are covered under Personal Accident Insurance & Term Life Insurance policy.
- All employees can avail annual health check facility.
- Eligible for reimbursement of telephone and internet expenses.
- Wellness Allowance to avail health club memberships and/or access to physical fitness centres.
- Wellbeing Wednesdays which includes 1x global Unplug Day and 2x No Meeting Days every quarter.
- Memberships for ‘meditation and mindfulness ‘ apps including on-demand mental health support 24/7.
- Access to learning management system Say., LinkedIn Learning Premium account membership & many more.
- Access to Rewards & recognition portal and quarterly recognition program.
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| 📍 | Be aware of the location restriction for this remote position: USA, UK, Canada, India, Australia, New Zealand |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Data Analysis
Data Analysis
|
Salary
💸
unspecified
|
Remote
Location
USA, UK, Canada, India, Australia, New Zealand
|
|
Job Type
full-time
|
Posted
Mar 25, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: USA, UK, Canada, India, Australia, New Zealand |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
