72 Data Analysis jobs in North York
Request for Proposals: Freshwater Literature Review and Data Analysis
Posted today
Job Viewed
Job Description
Job Description: Salary: Maximum fee of $35,000 Request for Proposals Freshwater Literature Review and Data Analysis Commencing for October 2025 to March 2026 18 July 2025 PROPOSAL DEADLINE: Monday, September 8 by 5pm EDT PROPOSALS DELIVERED TO: Wildlife Conservation Society Canada 1.0 Background Wildlife Conservation Society (WCS) Canada is a national non-governmental organization with a mission is to save wildlife and wild places in Canada through science, conservation action, and by inspiring people to value nature. WCS Canada is affiliated with global WCS programs in more than 60 countries, and we are active at the science-policy interface in Canada and internationally. This RFP is issued by WCS Canadas Ontario Northern Boreal program, active since 2004 in the far north. As one of the few organizations with a continuous scientific presence in the region, we lead field-based research on large mammals, freshwater fish, and peatlands; co-develop programs with First Nations; collaborate with academic, government, and Indigenous researchers; and contribute to policy development to guide conservation decisions. 2.0 Contracting opportunity WCS Canada producing a report summarizing multiple years of freshwater ecological data that has been collected on the water quality, water chemistry, fish contaminants, and benthic invertebrates in northern boreal rivers in Ontario. We are seeking proposals (RFP) from qualified individuals or groups to support the completion of this report. We are requesting that individuals or groups submit a proposal outlining their qualifications, relevant experience, and proposed approach to conducting a literature review and statistical analyses of previously collected data. This work will inform and support the creation of a comprehensive and useful summary report by WCS Canada that outlines the status and trends in these northern boreal rivers. 3.0 Proposal Administration All requests for clarification and questions concerning this RFP must be submitted in writing no later than 5 September 2025 via email to Brianna Kim, Finance and Administrative Manager (indicate Freshwater Literature Review and Data Analysis on the subject line). Responses, if determined appropriate by WCS Canada, will be issued in writing to all known proposers. Proposals, plus attachments, are to be submitted in e-form to: Brianna Kim, Finance and Administrative Manager, WCS Canada may request an interview of any proposer (vendor). Such a request for an interview does not constitute a contract award. Proposals must be received no later than 5:00 PM, 8 September 2025 Key Dates:Last day to submit questions 7 September 2025 Proposals due8 September 2025 Interviews of proposers 11 to 18 September 2025 Notice of Award by 25 September 2025 4.0 Scope of Services and Desired Qualifications The services and deliverables to be provided by the proposer: Freshwater data analyses:Conduct an analysis of the spatial and temporal patterns of previously-collected data on fish contaminants, water quality, water chemistry, and benthic invertebrates in XXX (geography of the data analysis from watersheds over X years; andWhere applicable, compare findings to appropriate benchmarks and reference data from other relevant regions or studies; andProvide a clear interpretation of the data, supported by the freshwater literature review (below).Freshwater literature review:Conduct a focused review of both formally-published, peer-reviewed literature and grey literature (e.g., government reports, technical memos, unpublished studies) related to fish contaminants, water quality, water chemistry and benthic invertebrates from northern boreal river systems. The review should prioritize sources that directly inform or contextualize the interpretation of the collected data; andOrganize identified literature into a database that includes a summary for each resource.Provide assistance and support for summarizing the literature review and data analyses into a final report to be written by WCS Canada staff. The selected proposer is expected to have the following qualifications: Must have experience with freshwater ecological monitoring and research, including familiarity with common approaches used for: freshwater ecological monitoring, freshwater statistical analyses, and freshwater literature reviews;Additional preference will be given for experience with ecological monitoring and research in northern boreal rivers;Must be familiar with ecological analyses in R; andBe familiar with WCS Canadas mission and programmatic activities. 5.0 Length of Engagement The term of engagement is for an approximately 6-month period ending March 30, 2026. 6.0 Proposal Content Proposals should be clear and concise and should address in detail, and with appropriate documentation, each of the items listed below. WCS Canada may request clarification of any proposal during the evaluation process, but is not bound to do so, and proposers should not assume they will have any further opportunity to clarify their proposals subsequent to the proposal due date. Each proposer is requested to submit, on or before the submission deadline, a package containing its proposal addressing the following items in the order listed: A. Technical Qualifications 1. Contact Information On a single cover sheet, please provide:Contact information for the lead individual(s) who are anticipated to work on the project, including e-mail addresses, telephone number, and street address.Web address (if relevant).Year proposer was established (if relevant).Size of proposer (if relevant).List of proposed staff assigned to this project (if relevant).Signature of Principal and date of the signature. 2. Overview (1-page maximum) Proposers should provide a summary of their understanding of the services and deliverables that will be their responsibility and a description of the methods they will use to achieve those objectives, including technical quality assurance, and general management practices for comparable projects. 3. Qualifications Proposers are requested to provide detailed information that demonstrates the following:Experience providing the services requested in this RFP;Proficiency with projects of comparable size and complexity; andDemonstrable commitment to diversity and inclusion of staff and subcontractors. 4. Timetable/Schedule Proposers should produce a draft schedule that outlines critical milestones for the work. 5. Resume(s) A resume/CV of the individual(s) proposing to conduct the work should be attached, which must outline and explain the relevant experience of the individual(s) with similar previous projects. Upon award of the contract, substitutions of personnel will not be allowed without the prior written consent of WCS Canada. 6. References Proposers are requested to provide examples of up to three (3) similar projects, recently completed or in progress, with the following information for each:Description of the workName of a contact person who can provide a reference References may be contacted directly by WCS Canada. B. Fee Proposal Maximum Fee The total proposal fee shall not exceed $5,000 CAD, inclusive of all applicable sales taxes, administrative expenses, and any other project-related costs.Base fee ___Additional fees (e.g., information technology infrastructure costs, administrative support charge) ___ Total ___ 3.Other services Provide information regarding how any requested additional services will be charged (e.g., personnel with titles and hourly or per diem rates). 7.0 General Conditions of Proposal Submissions The following general conditions apply to all proposals submitted in response to any RFP issued by WCS and WCS Canada (collectively referred to below as (WCS Canada):Non-Binding: WCS Canadas solicitation of proposals in response to any RFP does not commit WCS Canada to award a contract, and this RFP is not an offer to enter into a contract for the services to be provided as described herein.Proposal Materials and Costs: WCS Canada is not liable for any costs incurred in the preparation, submission or negotiation of a response to its RFP or incurred for any other purpose or reason in connection with the RFP. No materials submitted with this RFP will be returned.Confidentiality: All information and material contained in any WCS Canada RFP or issued by WCS Canada or any of its agents as part of any WCS Canada RFP process is confidential and is the exclusive property of WCS Canada.Modifications: As a condition of award, WCS Canada may request any proposer to make revisions, additions, or deletions to its proposal.Subcontractors: After award of contract, WCS Canada will have no obligation, financial or otherwise, to any subcontractor of the awardee. Nevertheless, any subcontract will be required to be subject to and consistent with the prime contract between WCS Canada and the awardee, and WCS Canada may require any subcontract to include specific terms and conditions.Reserved Rights: WCS Canada at any time in its sole discretion may, without notice and without liability to any proposer or any other party for their expenses incurred in the preparation of the responses hereto or otherwise, do any and all of the following:Amend or withdraw this RFP;Accept or reject any and all proposals received in response to this RFP;Award the contract to a proposer other than the proposer offering the lowest fee;Request additional materials and clarification or modification of any submitted proposal;Extend the time for submission of all proposals after notification to all prospective proposers;Terminate negotiations with a selected proposer and select another proposer;Take such action as WCS Canada deems appropriate if negotiations fail to result in a signed agreement within a reasonable amount of time; and/orTerminate or modify the solicitation and selection process at any time and re-issue the solicitation to whomever WCS Canada deems appropriate. The selected vendor will be required to execute a written agreement with WCS Canada, including terms generally consistent with those set forth in Appendix A hereto, effective upon the date the written agreement is executed by both WCS Canada and the selected vendor. 8.0 Evaluation and Selection Criteria Selection Process:WCS Canada will review and evaluate all proposals to determine each proposer's rating. This evaluation may include a request to interview proposers and for proposers to virtually present their proposals for purposes of clarification.The proposal offering the most advantageous terms based on the criteria below will be selected for the award. WCS Canada may reject any and all proposals if, in its sole opinion, no proposal satisfies its criteria. Evaluation Criteria: The evaluation criteria and weight will be as follows: Demonstrated technical capability to provide the services (50%);Project-related experience (25%); andClient references (25%) APPENDIX A CONTRACT, INSURANCE, AND REGULATORY REQUIREMENTS 1. Payment Contractor will submit invoices for its work, in a form acceptable to WCS Canada, to its contact for review, who will submit the invoices for payment. Payment is subject to acceptance of the services. Contractor will be paid without deductions for income taxes or other sums which employers in Canada are required to deduct from employees wages. Even though income tax and other deductions are not made by WCS Canada, Contractor should be aware that WCS Canada may be obligated by Canadian regulations to report to Canada Revenue Agency total annual amounts paid to Contractor. Contractor will be solely responsible for the payment of all withholding and other taxes, of whatever type or nature, arising out of or related to its engagement under this Agreement and agrees to and hereby does indemnify and defend WCS Canada and its directors, officers, employees, independent contractors and agents against any claim relating to such taxes. WCS Canada will pay approved fees and expenses within thirty days after receipt of acceptable documentation. 2. Relationship of the Parties Contractors relationship to WCS Canada under this Agreement is that of an independent contractor. Nothing in this Agreement will be deemed to constitute a relationship of employer-employee, joint venture, partnership, agency, or legal representative between Contractor and WCS Canada for any purpose. Neither Contractor nor any of its employees, independent contractors or agents will receive the health insurance, sick leave, vacation, pension, retirement savings plan or other fringe benefits, or severance or termination pay, associated with regular employment at WCS Canada. 3. Termination Either party may terminate this Agreement without cause by furnishing at least 30 days written notice to the other. In such event, Contractor will be paid only for services actually rendered to the date of termination. With reasonable cause, either party may terminate this Agreement immediately upon written notice to the other. Contractor shall not incur any additional expenses between the date of notice of termination and the date of termination without the prior written consent of WCS Canada. 4. Confidentiality Contractor warrants that it will maintain in strict confidence WCS Canadas Confidential Information (as defined below) to which it has access during the term of this Agreement. Contractor will treat WCS Canadas Confidential Information with the same standard of care that it uses in maintaining its own Confidential Information, provided that that standard is not negligent. Contractor will use WCS Canadas Confidential Information only as is required by this Agreement, and will not reveal it to a third party without the prior written consent of WCS Canada, or unless it is required by law to reveal it. Confidential Information means information concerning each partys affairs, activities, research, proposals, projects, finances, property or method(s) of operation, trade secrets, know-how and similar information. Confidential Information does not include information which (a) is already known through lawful means to the receiving party before the other partys disclosure, (b) after disclosure, becomes generally known to the public through no breach or fault of the receiving party, (c) a party receives from a third party who is free to make such disclosure without breaching any legal obligation to the disclosing party under this Agreement, (d) the receiving party develops independently as evidenced by its own written records, or (e) is required to be disclosed by judicial or administrative process, in which case the party required to make that disclosure will notify the other of the obligation and cooperate reasonably with that partys effort to bar or seek a modification of the order. The term Contractor for purposes of this section shall include Contractor,
Director, Business Intelligence & Analytics
Posted today
Job Viewed
Job Description
Whether at our schools, at Koerner Hall or within our corporate administration, please see the job postings below for opportunities to join our team. Director, Business Intelligence & Analytics - (RCM511.1)
Share this job as a link in your status update to LinkedIn.
Job Title
Director, Business Intelligence & Analytics
Job Type
Full-time
Location
The Royal Conservatory - Toronto, ON M5S 1W2 CA (Primary)
Job Description
The Royal Conservatory (RCM) is one of the largest and most respected music education institutions in the world, providing the definitive standard of excellence in curriculum design, assessment, performance training, and teacher certification. Graduates from its two performance training programs, The Glenn Gould School and The Phil & Eli Taylor Performance Academy for Young Artists, regularly perform on major international stages. The RCM is also a leader in the development of early childhood education programs and arts-based social programs, and presents a diverse range of concerts featuring the finest Canadian and international artists in its magnificent performance space, Koerner Hall. Please visit for more information.
Reporting to the Senior Vice President of Learning Systems, the Director, Business Intelligence & Analytics is the "go-to expert" for efforts that will inform and lead data-driven metrics, analysis, visualizations, and storytelling. As a partner to business development operations and marketing teams, this role is responsible for aligning and transforming data into clear actionable visual insights to support business decisions necessary to lead short- and long-term objectives, strategies, tactics, and business outcomes.
Champion Data-Driven Decision-Making
- Promote the strategic use of data as a key business enabler, identifying and unlocking opportunities to optimize revenue growth, market entry, pricing, and profitability across the organization.
Inform Organizational and Divisional Strategic Direction with Data Insights
- Deliver digestible, high-impact insights to C-level executives and senior leaders across Business Development, Marketing, Academic Office and Operations.
- Provide analytics that support evaluation of new and existing products, revenue initiatives, customer segments and acquisition opportunities.
- Build and maintain pricing elasticity models and price optimization algorithms using advanced statistical techniques.
- Design promotion optimization models (e.g., uplift/response) to enhance targeted marketing and segment offers.
- Lead experimentation strategies (A/B testing, geo lift studies) to measure the causal impact of pricing and promotional initiatives.
- Lead the development and implementation of KPIs, dashboards, and reporting tools that provide actionable insights and performance visibility to drive sales growth, strategic and tactical decisions.
- Build self-service analytics capabilities for internal stakeholders to monitor performance and identify areas for growth to ensure analytics projects meet business needs
Advance Customer and Loyalty Insights
- Design, deliver, and analyze dashboards and surveys for internal business partners to assess health and impact of business, marketing and promotion efforts.
- Provide analytics to support the effectiveness and evolution of revenue and customer acquisition and recognition initiatives.
- Creating dashboards and reports for various stakeholders.
- Conducting in-depth analyses of sales data to identify opportunities for growth.
- Providing actionable recommendations based on data insights.
Collaborate Cross-Functionally
- Work with business development, marketing, product, and data engineering teams to integrate analytical models into business workflows and decision systems.
- Partner with business operations and marketing teams to improve data collection, analysis frameworks, and traffic generation strategies aligned with revenue growth.
Enable Scalable Data Solutions
- Build robust, scalable data solutions that improve access to analytics and support growth-focused decision-making.
- Improve existing processes and implement new systems to ensure the accuracy and integrity of data analysis.
- In collaboration with leadership, assess growth opportunities and provide data-driven recommendations to position the organization for sustainable success.
- Identify and mitigate risks through quantitative analysis and forecasting.
Act as Analytics SME
- Advise internal teams on optimal methodologies, tools, and analytical approaches to address key business questions.
- Stay current with industry trends and innovations to ensure best practices are applied.
Perform Other Duties as Required
- Participate in management meetings and contribute strategic insights as needed.
- 6 - 8 years of progressive experience with business intelligence, data warehouse technical architectures, data modeling and reporting/analytic tools and forecasting.
- Post-secondary degree in a related field such as Business Administration, Economics or Statistics, Information Systems, Mathematics, or Computer Science,
- Demonstrated experience with qualitative data science/business intelligence with significant business impact.
- Experience with BI reporting tools and forecasting.
- Knowledge of reporting tools/dashboards (Tableau, Power BI, Google Analytics, Google Tag manager, Tibco, etc.).
- Advanced knowledge in with database and queries (i.e.: SQL, Python, R, etc.).
- Strong technical background in analytics, applied data science, and reporting across areas such as marketing attribution, experimentation, optimization techniques, data engineering & architecture, statistics, financial modeling and behavioral analytics.
- Extensive experience in measuring online and offline marketing and sales strategies using various methodologies such as incrementality, attribution and cross-channel interaction.
- Strong understanding on how the data should be captured, stored and structured in a data warehousing environment.
- Ability to collaborate, communicate and influence across various internal stakeholders.
- Detail oriented and takes ownership of work, with the ability to lead and manage tight project deadlines.
- A self-starter with a curious and learning mindset.
- $120,000 - $140,000 per annum.
- This role has two (2) direct reports: Data Engineer and Data Analyst.
- Hybrid work arrangement, working on-site at least 3 days a week, inclusive of all staff Community Days.
- Office environment with the occasional requirement to work outside of regular business hours.
- Works with confidential data.
- Extended periods of sitting and PC use.
Interested candidates are asked to submit a cover letter and current résumé online (please upload a single file combining both documents) at . Applications will be accepted until a suitable candidate has been identified.
The RCM thanks all applicants for their interest in this position; however, only those selected for an interview will be contacted.
The RCM is committed to fostering an inclusive, equitable and accessible workplace. In accordance with the Ontario Human Rights Code, the Accessibility for Ontarians with Disabilities Act, 2005, and the RCM's Anti-Racism, Access and Equity Policy, accommodation will be provided at any stage of in the recruitment and selection process. Applicants are asked to make their accommodation needs known when they have been contacted for an interview.
Business Intelligence (BI) Analyst
Posted today
Job Viewed
Job Description
Job Description
About Fusemachines
Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 350 full-time employees). Fusemachines' AI educational program has made world-class AI education available, accessible and affordable to students around the world. Fusemachines seeks to bring its global expertise in AI to transform companies around the world.
About the role:
Location: Remote (Full-time)
As a Business Intelligence Analyst, you will play a pivotal role in leveraging data to drive strategic decisions and enhance operational efficiency. You will be responsible for designing, developing, and maintaining PowerBI dashboards and reports that provide valuable insights to various stakeholders across the organization. Your work will directly contribute to optimizing business processes and improving customer experiences.
Qualification & Experience
Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science.
At least 4 years of experience in data analytics, with a focus on business intelligence and data visualization in cybersecurity.
Required Skills/Competencies
Proven experience as a PowerBI Developer, with a strong portfolio showcasing impactful dashboards and reports.
Proficiency in SQL for data extraction, transformation, and manipulation.
Solid understanding of data modeling concepts and experience in designing efficient data models.
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Must have experience with Snowflake as EDWH and AWS.
Must have Python experience and have worked in Pipelines, from source to representation of the data.
Familiar with cybersecurity KPIs, and
Experience in the Financial Sector.
Roles and Responsibilities
Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights using Python, SQL, Snowflake, AWS and PowerBI.
Develop visually appealing and interactive dashboards and reports to effectively communicate key performance indicators (KPIs), trends, and anomalies, focus on cybersecurity.
Optimize data models and queries to ensure efficient performance and scalability of PowerBI solutions.
Implement best practices for data visualization, ensuring clarity, consistency, and usability for end users.
Work closely with data engineers to integrate data from various sources and maintain data accuracy and integrity.
Provide training and support to end users to maximize adoption and utilization of PowerBI tools.
Stay updated on industry trends and advancements in data visualization and analytics technologies, recommending improvements and innovations as appropriate.
Collaborate with IT teams to ensure compliance with data security and governance policies.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status
Powered by JazzHR
CQ3yTOQY1T
RQ09455 - Sr. Business Intelligence Specialist
Posted today
Job Viewed
Job Description
Job Description
RQ09455 - Sr. Business Intelligence Specialist
Downtown, Toronto
Hybrid (2-3 days in office)
Contract (8 months+)
3 Vacancies
Do you have a CRJMC + Credit Check security level? Will need one to get one before the start date
Must-Haves:
- Proficiency in Power BI, including data modelling, creating interactive reports and dashboards, and utilizing advanced features.
- Demonstrated experience with data analytics and reporting from Dynamics 365 CE and/or F&O .
- Data Warehouse/Lakehouse Concepts: Strong understanding of data warehousing principles, including data modelling, ETL processes, data integration, and data governance.
Nice-to-Have:
- Azure cloud certifications (e.g. Azure fundamentals, Azure Power BI Data Analyst Associate)
- Experience with PowerApps platform, Power Automate, Dynamics CE and F&O
- Public Sector experience
RQ09455 - Sr. Business Intelligence Specialist
Posted 15 days ago
Job Viewed
Job Description
RQ09455 - Sr. Business Intelligence Specialist
Downtown, Toronto
Hybrid (2-3 days in office)
Contract (8 months+)
3 Vacancies
Do you have a CRJMC + Credit Check security level? Will need one to get one before the start date
Must-Haves:
- Proficiency in Power BI, including data modelling, creating interactive reports and dashboards, and utilizing advanced features.
- Demonstrated experience with data analytics and reporting from Dynamics 365 CE and/or F&O .
- Data Warehouse/Lakehouse Concepts: Strong understanding of data warehousing principles, including data modelling, ETL processes, data integration, and data governance.
Nice-to-Have:
- Azure cloud certifications (e.g. Azure fundamentals, Azure Power BI Data Analyst Associate)
- Experience with PowerApps platform, Power Automate, Dynamics CE and F&O
- Public Sector experience
RQ09327 - Business Intelligence Specialist (Tableau, Power BI, SQL, NoSQL, AODA)
Posted today
Job Viewed
Job Description
Job Description
RQ09327 - Business Intelligence Specialist (Tableau, Power BI, SQL, NoSQL, AODA)
222 Jarvis St Toronto or 33 King St W Oshawa
Contract (9 months, possible extension)
Hybrid (3 days onsite and 2 days remote)
Must-Haves:
8+ years of experience with the following
- Ability to create visual representations of data using tools like Tableau, Power BI , or similar platforms to create dashboards and reports that effectively communicate insights.
- Experience with low code platforms such as Microsoft Power Platform
- Experience developing and implementing business intelligence solutions such as Microsoft Power BI.
- Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (relational and multi-dimensional data stores)
- Experience with SQL and NoSQL database technologies.
- Experience developing test cases and perform QA testing on business intelligence solutions.
- Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards
RQ09327 - Business Intelligence Specialist (Tableau, Power BI, SQL, NoSQL, AODA)
Posted 28 days ago
Job Viewed
Job Description
RQ09327 - Business Intelligence Specialist (Tableau, Power BI, SQL, NoSQL, AODA)
222 Jarvis St Toronto or 33 King St W Oshawa
Contract (9 months, possible extension)
Hybrid (3 days onsite and 2 days remote)
Must-Haves:
8+ years of experience with the following
- Ability to create visual representations of data using tools like Tableau, Power BI , or similar platforms to create dashboards and reports that effectively communicate insights.
- Experience with low code platforms such as Microsoft Power Platform
- Experience developing and implementing business intelligence solutions such as Microsoft Power BI.
- Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (relational and multi-dimensional data stores)
- Experience with SQL and NoSQL database technologies.
- Experience developing test cases and perform QA testing on business intelligence solutions.
- Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards
Be The First To Know
About the latest Data analysis Jobs in North York !
Manager, Data Science
Posted 4 days ago
Job Viewed
Job Description
At Compass Data & AI, our mission is to create extraordinary experiences at the intersection of hospitality and technology. Distilr at Compass Data & AI is seeking an experienced and highly skilled Manager, Data Science to join our team and lead the development of cutting-edge AI/ML solutions to help our partners make smarter business decisions. The successful candidate will:
Now, if you were to come onboard as our Manager, Data Science, we’d ask you to do the following for us:
- Lead the design and implementation of end-to-end ML pipelines for the development of a state-of-the-art supplier analytics platform
- Collaborate with cross-functional teams to identify business needs and develop innovative data-driven solutions that drive measurable impact.
- Conduct comprehensive analysis to extract actionable insights and provide strategic recommendations for business optimization and growth.
- Design and implement robust data infrastructure, following governance practices around data integrity and security.
- Mentor and provide guidance to data scientists, fostering a collaborative environment for knowledge sharing and skill development.
- Stay updated with industry trends, emerging technologies, and best practices in machine learning, AI, LLMs, and data science.
Think you have what it takes to be our **Manager, Data Science**? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role:
- 5 years of hands-on experience in building and deploying machine learning and AI pipelines in a commercial environment.
- Experience with cloud-based data platforms (AWS, GCP preferred) and related services (Airflow, Sagemaker, Vertex AI).
- Proficiency with Python libraries like TensorFlow, PyTorch, scikit-learn.
- Advanced to expert knowledge of SQL.
- Proven track record of delivering successful data-driven solutions that have driven tangible business outcomes.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
- Experience with clustering algorithms and recommender systems.
- Knowledge of software engineering practices and version control systems.
- Master’s or Ph.D. in STEM or related field.
- Experience leveraging LLMs to build or improve data models and pipelines.
Manager, Data Science
Posted 4 days ago
Job Viewed
Job Description
At Compass Data & AI, our mission is to create extraordinary experiences at the intersection of hospitality and technology. Distilr at Compass Data & AI is seeking an experienced and highly skilled Manager, Data Science to join our team and lead the development of cutting-edge AI/ML solutions to help our partners make smarter business decisions. The successful candidate will:
Now, if you were to come onboard as our Manager, Data Science, we’d ask you to do the following for us:
- Lead the design and implementation of end-to-end ML pipelines for the development of a state-of-the-art supplier analytics platform
- Collaborate with cross-functional teams to identify business needs and develop innovative data-driven solutions that drive measurable impact.
- Conduct comprehensive analysis to extract actionable insights and provide strategic recommendations for business optimization and growth.
- Design and implement robust data infrastructure, following governance practices around data integrity and security.
- Mentor and provide guidance to data scientists, fostering a collaborative environment for knowledge sharing and skill development.
- Stay updated with industry trends, emerging technologies, and best practices in machine learning, AI, LLMs, and data science.
Think you have what it takes to be our **Manager, Data Science**? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role:
- 5 years of hands-on experience in building and deploying machine learning and AI pipelines in a commercial environment.
- Experience with cloud-based data platforms (AWS, GCP preferred) and related services (Airflow, Sagemaker, Vertex AI).
- Proficiency with Python libraries like TensorFlow, PyTorch, scikit-learn.
- Advanced to expert knowledge of SQL.
- Proven track record of delivering successful data-driven solutions that have driven tangible business outcomes.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
- Experience with clustering algorithms and recommender systems.
- Knowledge of software engineering practices and version control systems.
- Master’s or Ph.D. in STEM or related field.
- Experience leveraging LLMs to build or improve data models and pipelines.