Sr Data Scientist
Sr Data Scientist
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1 Vacancy
Job Description
Overview
Are you passionate about changing the world through machine learning and location intelligence Join Esri as we leverage the IoT revolution and explosive growth of location data to help organizations extract advanced intelligence predict significant events and automate work processes using AI and machine learning.
Were seeking a Sr. Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers understand their unique challenges and develop datadriven solutions that integrate seamlessly with GIS workflows. While prior GIS experience is not required youll work closely with GIS experts and gain valuable knowledge in spatial data analytics.
We serve customers across diverse domains including natural resources defense commercial industries public transportation utilities and governmental entities in over 160 countries.
Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands CA area for this position.
Responsibilities
- Consult closely with customers to understand their needs and serve as Esris sole representative.
- Scope projects communicate uncertainties and risks and accurately estimate delivery times.
- Develop and pitch data science solutions that map business problems to advanced analytics approaches.
- Serve as a subject matter expert for internal stakeholders.
- Write productionlevel code for data analysis and process automation.
- Build highquality analytics systems employing techniques from data mining statistics and machine learning.
- Perform feature engineering model selection and hyperparameter optimization to achieve high predictive accuracy.
- Deploy models to production environments and assist customers in troubleshooting implementations.
- Implement best practices for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping.
- Stay updated with the latest trends in machine learning deep learning and AI and incorporate them into project delivery.
- Quickly become proficient in unfamiliar fields to address diverse customer needs.
Requirements
- 5 years of practical machine learning experience or relevant academic/lab work.
- Exemplify tenacity determination creativity curiosity and independence in problemsolving.
- Ability to learn new concepts quickly and implement new technologies rapidly.
- Flexibility to adapt to diverse customer solutions in a rapidly evolving technical landscape.
- Experience working with nontechnical stakeholders in multiple domains.
- Proficiency in building and optimizing supervised and unsupervised machine learning models including deep learning techniques.
- Fundamental understanding of mathematical and machine learning concepts.
- Applied statistics experience.
- Expertise in developing machine learning solutions preferably in Python.
- Proficiency in data extraction transformation and loading between various systems.
- Ability to produce compelling data visualizations to convey results.
- Strong communication skills including the ability to explain technical concepts to nontechnical audiences.
- Capability to manage multiple projects simultaneously.
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the US.
- Bachelors degree in mathematics statistics computer science physics or a related field.
Recommended Qualifications
- Masters or PhD in mathematics statistics computer science physics or a related field.
- Experience with spatial and GIS concepts preferably using Esri software.
- Familiarity with Git ML libraries such as PyTorch and TensorFlow and transformersbased large language models (LLMs).
- Experience handling largescale batch/streaming data with big data tools like Apache Spark.
- Experience with cloud services (AWS Azure etc.
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Required Experience:
Senior IC
Employment Type
Full Time
