Job summary
Job post source
This job is directly from Quill
Job overview
The Senior Data Scientist at Quill leads advanced analytics and machine learning projects to solve e-commerce challenges, driving data-driven decision-making and innovation within the company.
Responsibilities and impact
The role involves developing and deploying machine learning models for customer prediction, recommendation systems, and demand forecasting, collaborating with cross-functional teams, validating models, mentoring team members, and staying updated on data science advancements.
Compensation and benefits
The position offers flexible PTO with 22 days, 7 paid holidays, company match 401(k), health and wellness programs, and various discounts.
Experience and skills
Candidates need a BA/BS in Data Science or related field with 7+ years of experience, strong SQL and Python skills, and expertise in statistical modeling and machine learning; preferred qualifications include advanced degrees and experience with deep learning frameworks and NLP tools.
Career development
Opportunities include leading large-scale projects, mentoring junior staff, and integrating emerging AI technologies, supporting professional growth in data science leadership.
Work environment and culture
Quill promotes an inclusive culture with associate-led Business Resource Groups and values collaboration and innovation in a supportive environment.
Company information
Quill, part of the Staples family since 1998, is a leader in office supplies offering a wide range of products and award-winning customer support.
Team overview
The candidate will join the data science team focused on applying advanced analytics and machine learning to e-commerce challenges, working collaboratively in an Agile environment.
Unique job features
The role uniquely involves working with cutting-edge AI technologies like LLMs and Gen AI tools, applying NLP techniques, and leading end-to-end data science projects using Agile methodologies.
Company overview
Quill is a company that specializes in providing a collaborative writing platform designed to enhance communication and productivity for teams. They make money by offering subscription-based services that cater to businesses and educational institutions seeking efficient and streamlined writing tools. Founded with the goal of improving team collaboration, Quill has developed a reputation for its user-friendly interface and innovative features that facilitate real-time editing and feedback. The company has gained recognition for its commitment to fostering effective communication in professional and educational settings.
How to land this job
Position your resume to highlight advanced expertise in machine learning, deep learning, and predictive modeling, emphasizing experience with e-commerce challenges and customer behavior analytics relevant to Quill's business.
Emphasize your proficiency in Python, SQL, and frameworks like TensorFlow, PyTorch, and your familiarity with LLMs and NLP techniques, as these are key skills Quill is seeking.
Apply through multiple channels including Quill's corporate careers page, LinkedIn, and other job boards where the role is posted to maximize your application visibility.
Connect with data science team members or leaders at Quill on LinkedIn; start conversations by referencing recent Quill projects, asking about their use of AI in e-commerce, or expressing enthusiasm for their leadership in data-driven decision-making.
Optimize your resume for ATS by integrating keywords such as 'machine learning,' 'predictive modeling,' 'LLMs,' 'TensorFlow,' 'cross-validation,' and 'e-commerce analytics' directly from the job description to ensure it passes screening filters.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify the best platforms for submission, and discover LinkedIn connections to network with, freeing you to focus on interview preparation and skill enhancement.
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