Remote Senior Data Scientist I (Remote - US)

Description:

• This position is for a Senior Data Scientist I, available remotely in Canada or the USA.
• The role involves becoming a subject matter expert in machine learning (ML) and natural language processing (NLP) while contributing to advanced AI-driven solutions.
• Responsibilities include working closely with data scientists, engineers, and cross-functional teams to design, develop, and deploy innovative AI models that address complex business problems.
• The position requires analyzing large datasets, guiding junior team members, and influencing data-driven decision-making across the organization.
• Candidates should thrive in a collaborative, forward-thinking environment, contributing to process improvements and delivering impactful solutions using cutting-edge technologies.
• Strong analytical, programming, and mentoring capabilities are essential for success.

Requirements:

• A Master’s or Doctorate in Computer Science, Statistics, Mathematics, or a related field is required.
• Extensive experience in data science, machine learning, and statistical modeling is necessary.
• Proficiency in programming languages such as Python, R, or similar for data analysis is essential.
• Strong problem-solving skills with the ability to lead and collaborate on complex projects are required.
• Excellent communication skills are necessary, with the ability to convey technical concepts to diverse audiences.
• Experience managing projects, customer relationships, or guiding cross-functional teams is important.
• The ability to work independently, prioritize tasks, and meet deadlines in a dynamic environment is required.

Benefits:

• The position offers competitive health plan benefits.
• An Employee Assistance Program (EAP) is available for wellbeing support.
• Retirement benefits and financial planning resources are provided.
• Educational assistance programs for continuous learning are included.
• Disability, life, and accidental death insurance are part of the benefits package.
• Paid vacation and flexible working hours support work/life balance.
• Paid leave for volunteering or participation in Employee Resource Groups is offered.
• The company promotes a supportive environment that encourages wellbeing, career growth, and professional development.