Take your career to new heights with Loopio!

Seeking a data-driven individual to join the Strategic Insights team within Engineering to empower customers with actionable insights, improving proposal quality, win rates, and team productivity. Focus on enhancing dashboard usability, integrating tailored recommendations, increasing team productivity through analytics, and showcasing Loopio's ROI to executives.

We are looking for an experienced data scientist to drive the research and development of statistical, machine learning/NLP models to power our product suite. This is a unique opportunity to join a growing team of creative and passionate individuals committed to solve 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

• Working with business stakeholders to identify opportunities where statistical analysis, machine learning, and Natural Language Processing can improve business processes

• Working with product managers to translate product requirements into R&D activities

• Researching, developing, and validating models to generate predictions, recommendations, alerts, and other insights

• Working with engineers to collect, clean, and perform feature engineering and selection on customer data to support model R&D activities

• Working with engineers on the delivery and integration of models into product

• Collaborating to define key ML infrastructure and experimentation workflow

What You’ll Bring to the Team

• 5+ years of experience in applied statistical analysis and machine learning in a software development environment, ideally using Natural Language Processing

• Experience in the use of statistical analysis and machine learning tools, packages and languages such as scikit-learn, pandas and numpy

• Strong scripting and engineering skills in Python and proficiency in using query languages such as SQL

• Knowledge of data structures and algorithms

• Experience in a high growth agile software development environment (Scrum or Kanban)

• Experience with py-spark / Databricks and AWS is a plus

• Experience with deep learning techniques especially for NLP, search and reinforcement learning techniques a plus

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 (work@loopio.com) should you require accommodations at any point during our virtual interview processes.