Senior Data Scientist

Take your career to new heights with Loopio!

Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam.

We are looking for an experienced Senior Data Scientist to join the Strategic Insights team within Engineering to drive the research and development of statistical, machine learning, and NLP models that empower customers with actionable insights. This role focuses on improving proposal quality, win rates, and team productivity by enhancing dashboard usability, integrating tailored recommendations, and increasing efficiency through analytics. You'll play a key role in showcasing Loopio’s ROI to executives while solving real-world problems with modern AI practices.

All aspects of building data science products are familiar to you: wrangling with messy or missing data, feature engineering, prototyping statistical/machine learning models, and coding up an appropriate solution that’s fit for production. You are driven by the thought of solving real-world business problems and a practical mindset.

This role requires close collaboration with teams across Canada, the UK, and India. To accommodate the time zone differences, you will be expected to work from 11 am to 7:30 pm IST.

What You’ll Be Doing

• Data Analytics & Insights: Analyze large-scale text data to extract patterns, trends, and actionable insights. Perform data preprocessing, feature engineering, and statistical analysis to improve model performance and business decision-making.
• ML & NLP Model Development & Research: Design, build, and refine machine learning models for NLP applications, including text classification, summarization, and document understanding. Leverage state-of-the-art techniques such as transformers and large language models (LLMs).
• Scalable ML Systems: Develop solutions that handle large-scale text data efficiently, integrating models with cloud-based ecosystems (preferably AWS) and distributed computing frameworks like Spark when necessary.
• AI-Driven Problem Solving: Collaborate with product managers, engineers, and business stakeholders to translate complex business needs into impactful AI solutions, balancing innovation with practical implementation.
  
  

What You’ll Bring To The Team

• Data Analytics & Statistical Skills: Strong ability to analyze complex datasets, apply statistical methods, and derive meaningful insights to guide decision-making. Experience with data visualization (Tableau, Power BI, Looker) and storytelling.
• Advanced ML & NLP Expertise: 6+ years of experience in machine learning, statistical modeling, and NLP techniques, including transformers, LLMs, RAG, text classification, NER, and semantic search. Strong ability to apply research advancements to real-world applications.
• Software & Data Skills: Strong programming skills in Python, experience with SQL, and proficiency in deep learning frameworks (TensorFlow, PyTorch). Solid understanding of data structures, algorithms, and efficient model implementation.
• Cloud & Scalable AI Experience: Hands-on experience with cloud-based ML deployment (AWS, GCP, Azure) and distributed data processing (Spark) when necessary.
• Innovative Mindset & Impact Orientation: Ability to identify high-impact AI opportunities, experiment with cutting-edge approaches, and optimize models for accuracy, efficiency, and cost-effectiveness.
• Strong Analytical & Communication Skills: Ability to break down complex ML challenges, communicate insights
• Collaborative Problem Solving: Ability to work cross-functionally with product, engineering, and design teams effectively to translate business needs into AI solutions. Skilled at fostering alignment, sharing knowledge, and co-creating strategies that drive measurable impact.
  
  

Where You’ll Work

• Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world where we hire from.
• Our employees (or Loopers, as we call ourselves!) live and work in Canada (British Columbia and Ontario), London, and India (specifically in Gujarat, Maharashtra, and Bengaluru).
• Our India/UK hub employees work according to business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration.
• You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work during the workday
• We encourage asynchronous collaboration to effectively work as a global #OneTeam!
  
  

Why You’ll Working at Loopio

• Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage Lattice for our 1:1s and performance conversations
• You will have the opportunity to elevate your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.
• We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day with Loopio.
• We’ll set you up to work remotely with a MacBook laptop , a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.
• You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
• Participate in townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam!
• Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round.
• You’ll be a part of an award-winning workplace with an opportunity to make a big impact on the business.
  
  

Questioning your qualifications? Read this Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups.

Whether or not your experience checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.

AI in Recruitment At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines

Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team ([email protected]) should you require accommodations at any point during our virtual interview processes.