Staff Data Scientist
Staff Data Scientist
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Job Description
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 Staff 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. Youll play a key role in showcasing Loopios ROI to executives while solving realworld 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 thats fit for production. You are driven by the thought of solving realworld 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 Youll Be Doing
Data Analytics & Insights: Analyze largescale text data to extract patterns trends and actionable insights. Perform data preprocessing feature engineering and statistical analysis to improve model performance and business decisionmaking.
ML & NLP Model Development & Research: Design build and refine machine learning models for NLP applications including text classification summarization and document understanding. Leverage stateoftheart techniques such as transformers and large language models (LLMs).
Scalable ML Systems: Develop solutions that handle largescale text data efficiently integrating models with cloudbased ecosystems (preferably AWS) and distributed computing frameworks like Spark when necessary.
AIDriven 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 Youll Bring to the Team
Data Analytics & Statistical Skills: Strong ability to analyze complex datasets apply statistical methods and derive meaningful insights to guide decisionmaking. 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 realworld 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: Handson experience with cloudbased ML deployment (AWS GCP Azure) and distributed data processing (Spark) when necessary.
Innovative Mindset & Impact Orientation: Ability to identify highimpact AI opportunities experiment with cuttingedge approaches and optimize models for accuracy efficiency and costeffectiveness.
Strong Analytical & Communication Skills: Ability to break down complex ML challenges communicate insights
Collaborative Problem Solving: Ability to work crossfunctionally with product engineering and design teams effectively to translate business needs into AI solutions. Skilled at fostering alignment sharing knowledge and cocreating strategies that drive measurable impact.
Where Youll Work
Loopio is a remotefirst workplace because we recognize the advantages of working flexibly. We are HQd 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.
Youll collaborate with your teams virtually across the UK India and North America (were 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 Youll Working at Loopio
Your manager supports your development by providing ongoing feedback and regular 1on1s 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 wellbeing starting day 1 with Loopio.
Well set you up to work remotely with a MacBook laptop a monthly phone and internet subsidy and a workfromhome budget to help get your home office all set up.
Youll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
Participate in townhalls AMA (AskMeAnything) 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 yearround.
Youll be a part of an awardwinning 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 dont apply for a position simply because they dont hit every single criteria included in the job descriptionparticularly 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 weve created prompts in the application for you to share more about yourself. If youve made a career transition (or a few! youre self taught in a new role or you have skills/experience youd 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 should you require accommodations at any point during our virtual interview processes.
Required Experience:
Staff IC
Employment Type
Full-Time
