Data Scientist
Data Scientist
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Job Description
The Data Scientist plays a crucial role in supporting Indigos datadriven initiatives under the guidance of the Manager Data Science. This role will be responsible for building deploying and optimizing machine learning models and datadriven solutions that support Indigos personalization and business strategies. This role will work closely with crossfunctional teams to analyze large datasets generate actionable insights and improve decisionmaking through data science and AI applications
KEY PERFORMANCE METRICS
- Demonstrated improvement of product and customer focused business processes
- Timely and accurate delivery of audience and recommendations for targeted offer
- Improvements in quality and accuracy of product and customer data
- High independence in managing own daytoday work deliverables
- Collaboration with internal partners on to drive data literacy and understanding
- Contribution to driving overall data enablement strategy.
KEY ACCOUNTABILITIES
Functional
- Develop and deploy machine learning models for customer insights personalization and operational optimization
- Design and implement customer segmentation strategies to enhance marketing and merchandising initiatives
- Leverage data science techniques to analyze large datasets and uncover meaningful business insights
- Collaborate with teams across digital marketing loyalty merchandising and ecommerce to integrate AIdriven solutions
- Optimize predictive models for scalability accuracy and realtime deployment
- Utilize Power BI or Tableau to build compelling dashboards and reports that drive datainformed decisions
- Stay up to date with advancements in AI machine learning and GenAI applications.
- Ensure proper documentation of methodologies models and insights for knowledge retention and reproducibility
People
- Work collaboratively with crossfunctional teams to ensure alignment on datadriven initiatives
- Contribute to knowledgesharing sessions and mentorship within the data team
- Share technical knowledge with others and actively seek to learn from those more knowledgeable than yourself
- Actively seek feedback from peers and stakeholders to refine models and analyses
- Encourage others to freely share their point of view and be open to feedback
Cultural
- Support the implementation and enhancement of data science methodologies across the organization
- Contribute to the development and utilization of Indigos data language and ensure its integration into business processes
- Model Indigos beliefs and convey a positive image in everything you do
- Celebrate diversity of thought and have an open mindset
- Take an active role in fostering a culture of continual learning taking risks without the fear of making mistakes
- Embrace champion and influence change through your team and/or the organization
SCOPE
Reports to: Manager Data Science
KEY RELATIONSHIPS
Internal:
- Loyalty
- Email Marketing
- Performance Marketing
- Data Engineering
- Data Science
- IT
Qualifications :
Work Experience / Education / Certifications
- Universitys (masters is preferred) degree in statistics mathematics economics data science or computer science or a related field
- 3 years of demonstrated experience in data science AI machine learning or advanced analytics with experience leading endtoend projects preferably in the retail sector
- Extensive experience linking and analyzing large datasets
- Experience developing and deploying predictive ML/AI models in a business setting
- Proven ability and experience analyzing customer data for actionable business insight
- Proven experience with NLP and/or GenAI
Competencies / Skills / Attributes
- Strong programming skills in Python SQL and Spark with experience using libraries such as Pandas Numpy scikitlearn TensorFlow PyTorch and Keras
- Proficiency in Power BI or Tableau for data visualization reporting and storytelling
- Experience with LLMs finetuning and Transformer model development with familiarity with industry trends and opensource platforms
- Demonstrated expertise in building predictive ML/AI algorithms (supervised and unsupervised) and recommendation systems
- Familiarity with cloudbased data platforms such as Snowflake is highly valued
- Proficiency in Git and version control and experience with MLOps practices is a bonus
- Passion for leveraging data science to enhance customer experience and business performance
- Effective communication skills that include excellent written oral and presentation abilities
- Demonstrated time management skills: the ability to organize and prioritize work to manage timelines and meet defined deadlines in a fastpaced work environment
- Dedication to exceed performance expectations and approaches work with a sense of urgency and passion
- Passionate about the Indigo brand
Additional Information :
At Indigo we are committed to our communities our customers and each other; together we can make a positive impact. We know that fostering diversity and inclusion brings out your full potential and creates a joyful and welcoming environment for everyone. We are driven to be an equitable employer which highly values your diverse backgrounds experiences and perspectives. We believe that you in all your uniqueness belong at Indigo. We welcome all applicants and encourage applications from individuals who identify as Black Indigenous a person of colour LGBTQ2 and people with disabilities. Accommodations are available upon request to individuals who selfidentify as having a disability or special need. Please contact Human Resources at if you require an accommodation at any time during the recruitment process.
WELCOME HOME
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
