FreshRemote.Work

Data Scientist

Remote within, BC, CA

BCLC exists to generate win-wins for the greater good.
 

For our people, our players, our communities, our industry, and our planet.
 

Lottery | Casino | Sports
 

 

Being a social purpose company, we are not only able to better align our business decisions with our purpose, but more importantly, we are committing to doing our part in creating a better world.

We bring our purpose to life by ensuring all our actions, behaviours and decisions create benefits for communities and the planet.

Motivated and guided by our social purpose, everything we do must benefit the greater good. And we encourage our employees, partners, players, industry and communities to engage with us on this ambition.

 

  We want you to be where you feel you can do your best work. Most of our jobs can be done remotely providing you reside in BC.
 

  For those who prefer working in a community with others, we have two beautiful offices in convenient locations: 
 

                2940 Virtual Way, Vancouver | 74 Seymour Street W, Kamloops
 

  This is a Permanent, Full Time opportunity

  Expected Salary Range: $84,981.00 - $106,227.00 - $132,784.00 
 

                Our typical hiring range will be +/- 5% of the midpoint shown above
 

                 Factors influencing this decision include qualifications and market conditions for the role

 

The Company
 

For nearly four decades, BCLC has delivered exceptional gambling entertainment for British Columbians. To fulfill our social purpose we have a vision to revolutionize gambling entertainment through engaging experiences that build and benefit communities. We operate national and provincial lotteries in partnership with 3500 retail partners, provide the games, technology & oversight to 37 brick & mortar casinos, and operate a safe secure and 100% legal online gambling presence PlayNow.com. In our recently completed fiscal year, BCLC generated a record $1.5 billion in net income to the Province of B.C. to support First Nations, host local governments, health care, education and community programs across the province.

 

JOB SUMMARY
The Data Scientist collects, analyzes, interprets, and visualizes data sets to provide data-driven solutions to business challenges and objectives. The Data Scientist uses mathematical, statistical and Artificial Intelligence platforms and techniques to develop custom data models, visualizations, and algorithms to build data products that support organizational strategies.

 

KEY ACCOUNTABILITIES

  • Acts as a subject matter expert, (or technical lead) in data wrangling and data science, conducting advanced statistical and other machine learning/artificial intelligence (ML/AI) analyses to provide actionable insights, identify trends, and measure performance.
  • Identifies iterative opportunities within the teams’ capabilities and translates business and technical requirements into advanced analytics solutions.
  • Ensures the successful development, quality assurance, implementation, orchestration and ongoing support of advanced analytics solutions.
  • Creates, documents, and communicates advanced analytics solutions using standard documentation processes, ensuring adherence to technical guidelines and standards while fostering broader understanding across the organization.
  • Helps develop and implement practices and processes to ensure the formal management of data assets.
  • Resolves complex issues and makes recommendations for innovative approaches to technical work and broader issues resolution.
  • Cultivates and enhances core competencies within the team by conducting learning sessions, training, fostering effective communication, and exemplifying expected behaviors.  Leads and participates in technology centers of excellence (COE) and/or communities of practice (COP) for data science.
  • Maintains the overall model suite in accordance with best practices and established regulatory and internal guidelines.
  • Partners with diverse stakeholders including Product Owners, Capability Managers, Enterprise Architects, business stakeholders, as well as a broad range of technical and business subject matter experts including external vendors and consultants.
     

QUALIFICATIONS
A combination of education, experience, and demonstrated skills may be considered.
 

EDUCATION & EXPERIENCE

  • Bachelor's Degree in a related discipline, such as Mathematics, Computer Science, Data Science and/or Statistics;
  • 4 to 6 years of progressively responsible technical experience with at least three years' experience in the data science lifecycle, pipelines, data ingestion, data manipulation, data security, data quality and processes.

 

KNOWLEDGE & TECHNICAL SKILLS

  • Experience with SQL, Python;
  • Advanced knowledge of ML/AI techniques and when to use them, including but not limited to, regression analysis, Bayesian statistics, clustering and classification models using supervised and unsupervised techniques;
  • Experienced with cloud-based data warehousing and data management technologies, such as S3, Snowflake, Matillion, etc.;
  • Experienced with cloud based advanced analytics platforms like Dataiku;
  • Experience with prompt engineering and training LLM and RAG models
  • Advanced technical writing skills, and able to write reports and document procedures.

 

COMPETENCIES

  • Exceptional attention to detail and accuracy;
  • Advanced business acumen;
  • Advanced communication and presentation skills, with an ability to communicate and address issues at all levels of the organization and with diverse stakeholders;
  • Advanced time management and organizational skills to manage multiple concurrent objectives, projects, groups, or activities;
  • Advanced demonstration to lead technical projects and work collaboratively with cross-functional teams, providing technical guidance; 
  • Able to act on own initiative, to exercise sound judgment and to prioritize tasks; with emphasis on timelines and delivery.
  • Advanced demonstration of being able to work in a fast-paced, multi-level, project-based environment with emphasis on timelines and delivery.

 

BCLC has organizational Values that reflect the culture we strive to maintain. All employees are expected to ensure their actions, decisions, and interactions consistently align with BCLC’s Values, Respect, Integrity, and Community.
 

Preferred qualifications may include:

  • Understanding of Agile methodology or experience working with a cross-functional team environment would be an asset;
  • Understanding of B.C. gaming industry would be an asset.

 

What’s in it for you

  • Defined benefit pension plan which provides a recurring income you can depend on for life throughout retirement
  • We pride ourselves on our flexible working model which supports work-life integration and our 37.5 hour work week
  • Professional development including education/certification sponsorship, in house leadership cohorts, LinkedIn Learning
  • See all our rewards here
     

However you identify, or whatever your path in life, if you see something here that makes you excited to get to work every day, please apply. We hire people for skills, capabilities and potential, not just education and experience.

 

We value Respect, Integrity and Community, and we provide an inclusive environment where everyone can feel like they belong.

 

Our social purpose is much more than returning 100% of net income to the province in the form of healthcare & education programs, and community gaming grants. Check it out!

 

Did you know BCLC is an industry leader in player health and safe & responsible gambling? Find out more!

 

If you require accommodation so you can be at your best in the interview, please let us know: recruitment@bclc.com.

 

All candidates must be at least 19 years of age and legally eligible to work in Canada 

 

Apply

Job Profile

Restrictions

Must reside in BC

Benefits/Perks

Community engagement Flexible working model Pension plan Professional development Remote work

Tasks
  • Collect and analyze data
  • Conduct machine learning analyses
  • Develop data models
  • Document and communicate analytics solutions
  • Leadership
  • Provide data-driven solutions
  • Quality assurance
Skills

Advanced Analytics Agile Agile Methodology Algorithms Analytics Artificial Intelligence Best Practices Communication Custom Data Models Data analysis Data Management Data Visualization Data Warehousing Data Wrangling Documentation Leadership Machine Learning Organizational Quality Assurance Recruitment Security Social purpose Statistical analysis Training

Experience

3 years

Education

Degree

Timezones

UTC-7