Amplifon Americas , a global leader in hearing health care, has a strong demand for an authentic, creative, diverse and versatile candidate for our Marketing Performance Specialist (Data Scientist)role.
We are looking for someone who isforward-thinkingto help us strive towardseveryday excellencewhile focusing oncustomer devotionandpersonal impactto ensure we areacting responsiblyin everything we do.
To support our marketing team at our headquarter in Mississauga (ON), we are looking for a Marketing Performance Specialist (Data Scientist) who will support our marketing team with insights gained from analyzing company and customer data.
The ideal candidate is adept at using large data sets to find opportunities for developing our current customer knowledge and to test the effectiveness of different courses of action.
The ideal candidate should also demonstrate relevant experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations.
Lastly the candidate needs to have a proven ability to drive business results with their data-based insights.
At the same time they are comfortable working with a wide range of stakeholders and functional teams, you will work closely with the business and identify relevant opportunities or risks for business / revenue growth.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Key Responsibilities :
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions (particular focus on Marketing and IT stakeholders).
- Design and implement processes to ensure data quality and data enrichment.
- Mine and analyze data from company databases to drive optimization and improvement of customer insights.
- Design, implement and monitor the marketing attribution model for all marketing channels
- Assess the effectiveness of CRM, Digital, brand, media and advertisement activities
- Translate data insights into compelling and to the point recommendation and output for marketeers and other stakeholders
- Leads regular marketing customer funnel forecasting process and monitors business
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes.
- Coordinate with different functional teams to implement Business KPI dashboards and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Provides data to forecast all main funnel events (test, trial, sales, ASP) and product mix also at clinic level.
- Conducts ongoing category and product level analysis.
- Extracts data to create ad-hoc analyses that enable deeper understanding of customer segments, marketing campaigns, business trends and channel performance.
Qualifications in this role include, but are not limited to :
- We’re looking for someone with - years of experience working with large data sets and building statistical models, has a Degree in Statistics, Mathematics, Computer Science or another quantitative field
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
and their real-world advantages / drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.
and experience with applications
Preferred Experience and Skills :
- Excellent written and verbal communication skills for coordinating across teams, able to translate complex data into meaningful insights
- A drive to learn and master new technologies and techniques
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets would be appreciated
- Fluency in English language
Benefits Offered :
- Extended Medical, Dental, Vision Benefits, RRSP and DPSP with company match, generous vacation, paid holidays, in addition to other benefits.
- Flexible work arrangements to help support your work / life balance.
- Expand your experience by taking advantage of our global mobility opportunities.
About Us :
Amplifon is the global leader in the Hearing Care Retail market. We have + years of history behind us and we continue to invest and innovate to make more possible every day.
With a global presence spanning countries, our team of over , passionate professionals are on a mission to help people rediscover the emotions of sound.
Amplifon Americas, defined as Canada, Latin America, and the United States is the largest market in the organization with significant growth potential over the next several years.
At Amplifon, we don't just provide hearing care solutions we advocate for the individuals behind our success. Joining our team means more than just a job;
it's an invitation to be heard, to create meaningful connections, and to form your own path to success. With an encouraging environment brimming with opportunities for development, you'll find yourself surrounded by colleagues who are not just coworkers, but supporters for your journey.
In recognition of our commitment to empowering people, we are thrilled to announce that Amplifon has been honored as a "Top Employer " across Europe, the United States, Canada, and New Zealand by the Top Employers Institute.
Join us in our quest to empower lives and be part of a team that's shaping the future of hearing care with passion and innovation.
We are an equal opportunity employer and value diversity at our company. We do not discriminateon the basis ofrace, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If selected for an interview, please advise our Human Resources team if you require accommodation during the interview and assessment process and we will work with you to meet your accessibility needs.