Summary
We are currently looking for a new Senior Data Scientist, to join our Data Insights team and work closely with Clio’s products and business teams.
You thrive on analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders and developers, guiding rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting – extracting valuable insights, enhancing decision-making processes and contributing to the development of innovative financial products.
The Team
You will be working alongside a cross-functional team of data scientists, embedded within Clio’s products and business teams, developing AI and ML solutions to understand Clio’s customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better. You will play an integral role in enabling business leaders across Clio to make rigorous data-driven decisions, helping our business grow, our customers succeed, and continuously improve the way we operate.
Who you are
We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader who is:
Passionate about driving growth empirically
Always looking to innovate with data and explore open-ended questions
Strategically minded and never shies away from a challenge
Self-motivated and able to work autonomously and collaboratively
Agile and responsive, and comfortable with constant change
You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. You will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives.
What you'll work on
Collaborate with the Clio product teams to identify opportunities, develop hypotheses, and provide input that drives growth
Identify new questions about our business, product, and customers that lead to impactful insights
Build predictive and prescriptive AI and ML solutions and deploy them in production
Apply rigorous statistical analysis and data mining techniques to evaluate the impact of different product features and other business initiatives
Innovate and experiment with new applications of statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities
Build a scientific culture in product and business teams by enabling discussions with data, disseminating best practices, and leading by example
Effectively communicate complex technical concepts and findings to both technical and non-technical audiences
What you may have
5+ years of applied experience in data science
Experience in analytics working with product and user behavior data (e.g., retention or churn analysis)
The ability to translate business requirements into data science solutions
Proficiency in database modeling, SQL, and data warehousing principles
Proficiency in developing analyses in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn)
Proficiency with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFlow)
Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively
Excellent written and verbal communication skills
Serious bonus points if you have
A deep understanding of SaaS business metrics and growth drivers
Experience with FinTech concepts
Experience with large data sets and user behavior data
Experience with NLP and LLMs
A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering)
What you will find here
Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.
Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days
Flexible time off policy, with an encouraged 20 days off per year
$2000 annual counseling benefit
RRSP matching and RESP contribution
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years
The full salary range for this role is $136,000 to $160,000 to $184,000 CAD. Please note salary bands may differ based on location and local currency. Additionally, benefit offerings may differ depending on the employee's location.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves on building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.
Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers
Disclaimer: We only communicate with candidates through official @clio.com email addresses.
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At Clio, we’re creating a human and high performing culture. That means you’ll be encouraged and supported to do your best work. Find out what keeps us grounded. Learn more.
Every day I am surrounded by a group that keeps me laughing, but also inspires me with their hard work and ingenuity. Everyone here goes out of their way to help each other learn and grow. #J-18808-Ljbffr