Canvs AI
Director, Data Science
Canvs AI, Atlanta, Georgia, United States, 30383
Canvs AI is on a mission to enable empathy for the world’s leading brands by putting the power of understanding consumers’ feelings in the hands of every business. Fortune 500 companies like CVS, Disney, Church & Dwight, ABInbev and Netflix use the Canvs AI Platform daily to analyze unstructured feedback from both consumers and employees. Over the last year alone, Canvs has analyzed over 850 million pieces of open-ended text from surveys, social media and online comments on behalf of its brands, helping them achieve 20X faster insights while deepening their understanding of customers, markets and employees.We are looking for a sharp, highly motivated Director of Data Science to join our team. This position will influence the organization, collaborating with executives, stakeholders, product, and engineering to help define the direction, priorities, processes, and best practices of the data science and analytics team.
An ideal candidate is an individual who has a deep background in statistics, analysis, and experimental design, and can bring those skills to bear both directly and by mentoring others.
A strong understanding and hands-on ability with data science technology and infrastructure is important as well. The ability to lead and collaborate with team members and stakeholders to direct and produce business impact is vital to this role.What you’ll do:Lead, manage, and inspire a team of data science engineersHelp drive a data-first culture where data is leveraged in decision-makingHire, mentor, and grow a world-class data teamUnderstand business, and technical requirements and set prioritiesCommunicate Data Team goals, priorities, timelines, and obstacles to execs and other stakeholders.Directly contribute to team goals with 50-75% hands-on involvementDevelop and codify processes and best practices for modeling, testing, and analyticsCollaborate with the team and CTO to define and direct the technical strategy for the data science ecosystemEffectively balance short-term delivery with long-term direction and valueWho you are:5+ years of relevant data science and analytics experience3+ years of hiring and managing data scientists, analysts, and/or engineersStrong leadership skills - the ability to identify the best ideas, socialize them, and rally the team around themDemonstrated experience creating production ML pipelines (training, scoring, leveraging in real-time systems)Expert knowledge of modern machine learning algorithms (regression, classification, random forests, clustering, optimization, etc.) and statistical inferenceDeep understanding of Data Warehousing principles and practicesHands-on experience and expertise with Python FrameworksExperience with the AWS data ecosystem and technologiesExcellent verbal and written communication skillsStrong people management, mentoring, and interpersonal skillsAbility to thrive in a fast-paced, entrepreneurial, high-energy environmentSkills:ML, Gen AI, NLP, LLM Strategy:Develop and implement strategies for ML modeling, LLM development, and fine-tuning.Set best practices and standards to enhance AI/ML model deployment and monitoring efficiency.Create roadmaps for NLP, LLM, and Gen AI model development.Model Design and Development:Design and develop custom ML, Gen AI, NLP, and LLM models.Work on batch and stream processing-based AI/ML pipelines.Handle data ingestion, preprocessing, and search and retrievalEnsure end-to-end solutions meet technical and business requirements.Collaboration and Leadership:Mentor junior team members.Contribute to the strategic direction of ML and data science efforts.Benefits we offer:Salary Range: $180,000 - $250,000Tremendous opportunity for career growth.Strong culture and commitment to values.Flexibility via a fully distributed company (Work From Anywhere!).Generous health benefits.Unlimited paid vacation.Summer Fridays.Monthly (at a minimum) virtual team-building events.The Canvs CommitmentCanvs is committed to making the world a more empathetic place, and fills its ranks with people who want to do great work, care about making a difference, and regularly exemplify the company's shared values of:Openness, honesty, and transparency;Intellectual curiosity;High integrity and honor; andEmpathy and compassion.Canvs is also committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. Applicants from populations underrepresented in tech are strongly encouraged to apply. All qualified candidates will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, familial status, sexual orientation, national origin, ability, age, or veteran status.
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An ideal candidate is an individual who has a deep background in statistics, analysis, and experimental design, and can bring those skills to bear both directly and by mentoring others.
A strong understanding and hands-on ability with data science technology and infrastructure is important as well. The ability to lead and collaborate with team members and stakeholders to direct and produce business impact is vital to this role.What you’ll do:Lead, manage, and inspire a team of data science engineersHelp drive a data-first culture where data is leveraged in decision-makingHire, mentor, and grow a world-class data teamUnderstand business, and technical requirements and set prioritiesCommunicate Data Team goals, priorities, timelines, and obstacles to execs and other stakeholders.Directly contribute to team goals with 50-75% hands-on involvementDevelop and codify processes and best practices for modeling, testing, and analyticsCollaborate with the team and CTO to define and direct the technical strategy for the data science ecosystemEffectively balance short-term delivery with long-term direction and valueWho you are:5+ years of relevant data science and analytics experience3+ years of hiring and managing data scientists, analysts, and/or engineersStrong leadership skills - the ability to identify the best ideas, socialize them, and rally the team around themDemonstrated experience creating production ML pipelines (training, scoring, leveraging in real-time systems)Expert knowledge of modern machine learning algorithms (regression, classification, random forests, clustering, optimization, etc.) and statistical inferenceDeep understanding of Data Warehousing principles and practicesHands-on experience and expertise with Python FrameworksExperience with the AWS data ecosystem and technologiesExcellent verbal and written communication skillsStrong people management, mentoring, and interpersonal skillsAbility to thrive in a fast-paced, entrepreneurial, high-energy environmentSkills:ML, Gen AI, NLP, LLM Strategy:Develop and implement strategies for ML modeling, LLM development, and fine-tuning.Set best practices and standards to enhance AI/ML model deployment and monitoring efficiency.Create roadmaps for NLP, LLM, and Gen AI model development.Model Design and Development:Design and develop custom ML, Gen AI, NLP, and LLM models.Work on batch and stream processing-based AI/ML pipelines.Handle data ingestion, preprocessing, and search and retrievalEnsure end-to-end solutions meet technical and business requirements.Collaboration and Leadership:Mentor junior team members.Contribute to the strategic direction of ML and data science efforts.Benefits we offer:Salary Range: $180,000 - $250,000Tremendous opportunity for career growth.Strong culture and commitment to values.Flexibility via a fully distributed company (Work From Anywhere!).Generous health benefits.Unlimited paid vacation.Summer Fridays.Monthly (at a minimum) virtual team-building events.The Canvs CommitmentCanvs is committed to making the world a more empathetic place, and fills its ranks with people who want to do great work, care about making a difference, and regularly exemplify the company's shared values of:Openness, honesty, and transparency;Intellectual curiosity;High integrity and honor; andEmpathy and compassion.Canvs is also committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. Applicants from populations underrepresented in tech are strongly encouraged to apply. All qualified candidates will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, familial status, sexual orientation, national origin, ability, age, or veteran status.
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