Data Scientist & Machine Learning Engineer II

at  Wiser Solutions

Company Description
Wiser Solutions is a suite of in-store and eCommerce intelligence and execution tools. We’re on a mission to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online. Our Commerce Execution Suite is available globally.
Job Description
Location of Job: Remote- Canada

If you are passionate about data science and machine learning, and thrive in a dynamic and innovative environment, we would love to hear from you. Join us at Wiser Solutions and be a part of a team that is transforming the retail industry through data-driven insights.

• Innovative Environment: Work with cutting-edge technologies and methodologies in the data science field.
• Collaborative Culture: Be part of a team that values collaboration and knowledge sharing.
• Growth Opportunities: Develop your skills and career with ongoing mentorship and challenging projects.
• Impactful Work: Contribute to products that help leading brands and retailers make smarter decisions.

TECHNOLOGIES WE USE:

• Python, R, Scala, Tensorflow, Sagemaker
• AWS, Docker, Kubernetes
• PostgreSQL, MySQL, MongoDB, Elasticsearch, Snowflake
  Qualifications

3+ Years of industry experience with a focus on end-to-end data science solution delivery.

• Proven knowledge and experience with state-of-the-art NLP methodologies (transformers, LLMs, RAGs, NER), as well as deep learning and classical machine learning models.
• Proficient in Python, SQL, and frameworks such as Tensorflow and PyTorch, containerization and orchestration with Docker and Kubernetes.
• Proficiency with frameworks for creating ML-based services (such as Streamlit, FastAPI, Flask, Gradio, etc.)
• Interest and curiosity in all aspects of ML/DS work, from measurements to CI/CD tools such as GitHub actions, ArgoCD and Terraform
• Team player who can wear multiple hats to accommodate business needs.
• Knowledge of e-commerce or retail analytics and/or consulting experience is an advantage.
• Familiarity with AWS cloud computing services such as S3, EC2, and SageMaker is a plus.
• Bachelor’s or Master’s degree in Machine Learning, Computer Science, Engineering, Mathematics, or a related field (Ph.D. is a plus).

Additional Information
Other Duties - Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
EEO STATEMENT - Wiser Solutions, Inc. is an Equal Opportunity Employer and prohibits Discrimination, Harassment, and Retaliation of any kind. Wiser Solutions, Inc. is committed to the principle of equal employment opportunity for all employees and applicants, providing a work environment free of discrimination, harassment, and retaliation. All employment decisions at Wiser Solutions, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, national origin, family or parental status, disability, genetics, age, sexual orientation, veteran status, or any other status protected by the state, federal, or local law. Wiser Solutions, Inc. will not tolerate discrimination, harassment, or retaliation based on any of these characteristics.
Base pay is one part of our total compensation package. Pay is established on an individual basis after considering multiple factors such as relevant experience, education, and other qualifications. In addition, we take into account geographical differentials and make sure pay is equitable with our current staff. For this position, our hiring range for base annual pay is estimated to be CAD $100,00 to $115,000, at the time of this posting.
Performance-based discretionary bonuses and variable pay plans are available for some positions.
If you require accommodation to complete any part of the application process or need an alternative manner to apply, please contact us at USTalentAcquisition@wiser.com or call (855) 469-4737.

• Utilize state-of-the-art methodologies in NLP, including fine-tuning and deploying Large Language Models (LLMs).
• Independently gather requirements and collaborate across data, science, product, engineering, and operations teams to define problems clearly.
• Develop and own a data science roadmap for the project that aligns business objectives and goals with data science and machine learning metrics.
• Partner with product and software engineering teams to design, prototype, and test new analytical and model functionalities to quickly meet business objectives.
• Update code at every relevant level—from ETL processes, through modeling, to model deployment and inference.
• Build trust with stakeholders by owning communication, reporting roadblocks, and ensuring stakeholders remain confident in the product implementation.
• Design and implement products and launch experiments.
• Demonstrated experience in Agile methodologies, including participation in Scrum ceremonies and sprints, and proficient in using Jira for task management and project tracking.