Hybrid Lead Data Scientist en Geotab
Geotab · Atlanta, Georgia - USA, Estados Unidos De América · Hybrid
Exponent – Supera tus entrevistas tecnológicas con sesiones de prueba y tutores expertos de las mejores empresas.
Patrocinado por ExponentWho we are
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Lead Data Scientist (Video) who will utilize strong problem-solving skills with statistical analysis in order to align data products with Geotab’s organizational goals
What you'll do:
The Lead Data Scientist (Video) will develop AI models specializing in video analysis that deeply understand the Geotab ecosystem and are capable of providing comprehensive customer support, delivering expert guidance on best practices through video analysis, and images. With a strong understanding of vision model architectures for video processing, the Lead Data Scientist will have the ability to experiment, implement, test and maintain production-grade intelligent video analysis systems and pipelines. This position utilizes strong problem-solving and AI skills in order to align developed data solutions with Geotab’s organizational goals.
How you'll make an impact:
- Develop and refine vision models for cloud and edge platforms including deep learning architectures.
- Provide expert project leadership as a SME: guidance to team members and participate in cross-departmental projects establishing Geotab as a leader in vision models.
- Collaborate with cross-functional teams including product managers, data analysts, data scientists, developers, user experience analysts and external stakeholders to gather requirements, build video-related products.
- Support the definition and shaping of research and development initiatives in areas of subject matter expertise.
- Create algorithms and predictive models required to solve complex business problems.
- Own the design, development and maintenance of scalable models.
- Test the performance of models/data products and make recommendations for improving Geotab’s product suite.
- Take responsibility for the technical output of a project.
- Use open source LLM/VLM packages to train/fine-tune AI models to better understand the Geotab ecosystem.
- Conduct experiments to identify the root issues of an observed result.
- Stay up to date on the latest research in data science, and propose innovative ideas and techniques to advance the field in our business domain.
- Build relationships with stakeholders including customers, product managers, cross-functional teams, and external partners.
- Contribute to defining strategic direction, planning the roadmap, and synthesizing feedback to ensure team success.
- Ensure that knowledge is shared amongst the team and does not position themselves or others as a single point of failure; is skilled at influence without authority, to unblock technical impediments and achieve necessary technical alignments across individuals and teams with minimal escalations.
- Mentor multiple Data Scientists; work through others; lift the skills and expertise of those around.
- Advise managers with insights and recommendations to improve the technical team; participate in recruiting processes for technical team members.
- Own responsibility for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
- Collaborate with business stakeholders to understand their requirements and develop analytical solutions.
- Drive innovation and continuous improvement in data science methodologies and practices within the organization.
What you'll bring to the role:
- Masters or Equivalent Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field.
- 8-10 years of experience as a Data Scientist, Vision Researcher or a similar role.
- 8-10 years of experience in Python programming.
- Experience with building, training, and deploying vision models based around the transformer architecture.
- Experience with building, training, and deploying vision models based around the diffusion architecture.
- Experience with natural language processing model architectures, optimizing, training, and deployment including classification, sentiment analysis, generation.
- Experience with novel architectures, loss functions, regularization techniques, and data augmentation.
- Experience with model deployment in large-scale production systems.
- Experience in working with large amounts of data in SQL.
- Proficient in building models using common Python libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn.
- AirFlow, apache-beam, BigQuery and other cloud based technologies to scale machine learning models will be an asset.
Why job seekers choose Geotab
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work
Other employment statements:
Geotab will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. Geotab provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Geotab complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Geotab expressly prohibits any form of workplace harassment or discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Geotab's employees to perform their job duties may result in discipline up to and including discharge. If you would like more information about our EEO program or wish to file a complaint, please contact our EEO officer, Klaus Boeckers at HRCompliance@geotab.com. For more details, view a copy of the EEOC's Know Your Rights poster. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.
