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TD SYNNEX

Senior Data Scientist/ Scientifique principal des données

Reposted 3 Days Ago
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In-Office
Mississauga, ON
Senior level
In-Office
Mississauga, ON
Senior level
The Senior Data Scientist will apply data science methods and analytics to real business situations, collaborate on end-to-end processes, and develop data products.
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About the Role:

Actual annual compensation offered will be based on several variables including geographic location, work experience, education, and skills/ achievements, and will be mutually agreed upon at the time of offer. The average compensation for this role is $110,000 – $ 160,000 CAD

TD SYNNEX is looking for an experienced and self-driven Senior Data Scientist to take our data analytics function to the next level. Come and join our efforts in providing best in class services to our partners – world leaders in technologies, which we support through unique insights into the market trends and opportunities, automated processes and personalized interactions.

About the team

You will be part of a North America Data Practice center of excellence, which interconnects business needs with exceptional data solutions. We are a team with diverse professional and academic backgrounds, including telco, banking, insurance, life sciences, or physics.

What we do

We tackle problems from many different areas such as:

  • data processing and interpretations (worldclass data platform consolidating 300+ internal and external sources, processing billions of raw data points),

  • marketing automation (targeted activities utilizing contact engagement, communication channels, content personalization and more),

  • sales automation (supporting partners’ businesses through dynamic changes in customers’ journey, product portfolio insights and recommendations or other tactics)

  • pricing (optimizing price levels with respect to multiple objectives and constraints),

  • operations (improving operational efficiency and customer experience),

  • e-commerce (perfecting customer experience across our platforms with a suite of recommendation engines and other tools).

  • Work closely with the offshore development team to enhance delivery capacity and develop scalable, data-driven solutions that seamlessly integrate with the bespoke ERP technology stack, architecture, and framework.

What You'll Do:
  • applying data science methods and data analytics to real-world business situations across a variety of business scenarios in the technology distribution industry,

  • collaborating with our business colleagues on business scenarios E2E, starting from definition of business problems and opportunities, through solutioning, development, deployment, and impact evaluation,

  • writing clean, production-ready well-documented code,

  • participating on design, implementation, refactoring, and maintenance of existing and future data products,

  • obsessed with quality and on-time delivery,

  • 100% of work on real use cases, with significant business use (no POC’s without use).

What We're Looking For:
  • 5+ years in machine learning, data science & analytics or equivalent experience

  • strong knowledge of Statistics required

  • demonstrated ability to address business challenges,

  • working knowledge of Python, including data processing, analytical and machine learning libraries (NumPy, Pandas, PySpark, Matplotlib, Seaborn, Scikit-learn, Keras, TensorFlow etc.),

  • advanced knowledge of SQL,

  • proficiency in designing, implementing, and supporting data products in a production environment,

  • proactive and self-motivated,

  • sharp business and interpersonal skills, ability to simplify and communicate complex ideas across all levels,

  • attention to details and next-level problem solving skills,

  • hands-on experience with modern lake house architectures (Snowflake) and distributed computing systems (Spark/Databricks) is a plus,

  • working knowledge of CI/CD, including but not limited to version control, testing, release management, monitoring & operation tracking (Azure DevOps) is a plus,

  • experience with MLOps is a plus,

  • MSc/PhD in Maths, Physics, Computer Science or another STEM field is a plus.

Description de posteÀ propos du rôle :

La rémunération annuelle réelle offerte sera basée sur plusieurs variables, incluant la localisation géographique, l’expérience de travail, la formation ainsi que les compétences et réalisations. Elle sera convenue mutuellement au moment de l’offre. La rémunération moyenne pour ce poste se situe entre 110 000 $ et 160 000 $ CAD.

TD SYNNEX est à la recherche d’un(e) Scientifique principal(e) des données expérimenté(e) et autonome pour faire passer notre fonction d’analytique de données au niveau supérieur. Joignez‑vous à nos efforts pour offrir des services de première classe à nos partenaires — des leaders mondiaux en technologies — que nous soutenons grâce à des analyses uniques des tendances du marché, des processus automatisés et des interactions personnalisées.

À propos de l’équipe

Vous ferez partie d’un centre d’excellence nord‑américain en pratiques de données, qui relie les besoins d’affaires à des solutions de données exceptionnelles. Notre équipe possède des parcours professionnels et académiques variés, incluant les télécommunications, la finance, l’assurance, les sciences de la vie et la physique.

Ce que nous faisons

Nous abordons des problématiques provenant de nombreux domaines, notamment :

  • traitement et interprétation des données (une plateforme de données de calibre mondial consolidant plus de 300 sources internes et externes, traitant des milliards de points de données brutes),

  • automatisation marketing (activités ciblées utilisant l’engagement des contacts, les canaux de communication, la personnalisation du contenu, etc.),

  • automatisation des ventes (soutien aux partenaires grâce à des analyses dynamiques du parcours client, des recommandations et d’autres tactiques),

  • tarification (optimisation des niveaux de prix selon plusieurs objectifs et contraintes),

  • opérations (amélioration de l’efficacité opérationnelle et de l’expérience client),

  • commerce électronique (optimisation de l’expérience client sur nos plateformes grâce à des moteurs de recommandation et autres outils).

Vous collaborerez étroitement avec l’équipe de développement offshore afin d’augmenter la capacité de livraison et de développer des solutions évolutives, axées sur les données, qui s’intègrent parfaitement à notre écosystème ERP personnalisé, son architecture et son cadre technologique.

Ce que vous ferez :
  • appliquer des méthodes de science des données et d’analytique à des situations d’affaires réelles dans divers scénarios du secteur de la distribution technologique,

  • collaborer avec nos collègues d’affaires sur des scénarios de bout en bout, de la définition des problèmes et opportunités jusqu’à la conception, le développement, le déploiement et l’évaluation des impacts,

  • écrire du code propre, prêt pour la production et bien documenté,

  • participer à la conception, l’implantation, le remaniement et la maintenance des produits de données existants et futurs,

  • démontrer une obsession pour la qualité et la livraison à temps,

  • travailler 100 % du temps sur des cas d’usage réels ayant un impact d’affaires significatif (aucun POC sans utilisation réelle).

Ce que nous recherchons :
  • 5+ années en apprentissage automatique, science des données et analytique, ou expérience équivalente

  • excellente connaissance des statistiques

  • capacité démontrée à relever des défis d’affaires

  • maîtrise de Python, incluant les bibliothèques de traitement de données, d’analyse et d’apprentissage automatique (NumPy, Pandas, PySpark, Matplotlib, Seaborn, Scikit‑learn, Keras, TensorFlow, etc.)

  • connaissance avancée de SQL

  • compétence en conception, implantation et soutien de produits de données en environnement de production

  • attitude proactive et autonome

  • solides aptitudes d’affaires et interpersonnelles, capacité à simplifier et communiquer des idées complexes à tous les niveaux

  • souci du détail et excellentes habiletés de résolution de problèmes

  • expérience pratique avec les architectures Lakehouse modernes (Snowflake) et les systèmes distribués (Spark/Databricks), un atout

  • connaissance des pratiques CI/CD, incluant le contrôle de version, les tests, la gestion des versions, la surveillance et le suivi opérationnel (Azure DevOps), un atout

  • expérience en MLOps, un atout

  • maîtrise ou doctorat en mathématiques, physique, informatique ou autre domaine STEM, un atout

Key Skills

At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.

What’s In It For You?

  • Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
  • Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
  • Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
  • Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
  • Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
  • Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don’t meet every single requirement? Apply anyway.

At TD SYNNEX, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!

Top Skills

Azure Devops
Databricks
Keras
Matplotlib
Numpy
Pandas
Pyspark
Python
Scikit-Learn
Seaborn
Snowflake
Spark
SQL
TensorFlow

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