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Publié il y a 43 mois

Lead Data Scientist

@ Ample Insight Inc.

Toutes ses offres Site Web

Toronto, Ontario

TélétravailTemps plein3+ ans d’expérience
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En bref

Ample Insight Inc. is hiring a Data Science Lead, a full-time role at a Toronto consulting firm serving startups and Fortune 500 companies. The lead advises client executive and technical teams on AI, analytics and data engineering, builds data pipelines and products, and leads and mentors data science teams. The posting describes very competitive compensation and autonomy on projects, without micro-management.

Responsabilités :

  • Advise client executive and technical teams on AI, analytics and data decisions
  • Design and implement end-to-end data pipelines and schemas
  • Build KPIs, production dashboards and scalable data products
  • Apply machine learning and experimental design to improve client businesses
  • Lead and mentor data science teams

Résumé des exigences :

  • Bachelor's or higher in computer science, engineering, math or statistics
  • 3 to 7 years of data science lead experience
  • 1+ years leading high-performance data science teams
  • Extensive Python with strong object-oriented programming
  • Experience building data pipelines and ETL design
  • Working knowledge of Snowflake

Outils et compétences

PythonSnowflake
Source et dates

Site carrière / système de candidatures · smartrecruiters

Date publiée par l’employeur
2023-04-26
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-10-09

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauChef d’équipe
DomaineDonnées et analytique
Expérience3 an(s) et plus
Expérience en gestion1 an(s) et plus
Gestion d’équipeOui
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesComputer Science, Engineering, Mathematics, Statistics

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Ample Insight Inc.

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

We build trusted AI and data solutions.

Description complète de l’entreprise

We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'​? We have you covered. Contact us today!

Abonnés LinkedIn
26 437
Personnes associées sur LinkedIn
14
Bureaux déclarés
  • 720 King St W, Suite 908, Toronto, Ontario M5V 3S5, CA
Catégories d’activité
  • Analytics
  • Artificial Intelligence (AI)
  • Machine Learning
Autres noms enregistrés
  • Ample Insight Inc.
  • Ample Insight
Spécialités
  • Data Science
  • Machine Learning
  • AI
  • Analytics
  • Computer Vision
  • Software Engineering
  • MVP
  • Data Engineering
  • Data Infrastructure
  • Data Governance
  • Generative AI
  • LLM
  • and ChatGPT
Le profil indique une agence de recrutement
Non
Investissement total déclaré
0

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Toutes ses offres Site Web

We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'​? We have you covered. Contact us today!

ChampValeur
SecteurData Infrastructure and Analytics
Taille11-50 employees
Siège socialToronto, Ontario
Type d’organisationPrivately Held
Fondée en2018
SpécialitésData ScienceMachine LearningAIAnalyticsComputer VisionSoftware EngineeringMVPData EngineeringData InfrastructureData Governance
Offres sur Jobsy8
LinkedInVoir la page
Description

Company Description

You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities.

Job Description

We are looking for a Data Science Lead who will:

  • Partner closely with our clients' executive and technical teams to guide their decisions relating to AI, analytics, data engineering and data in general

  • Proactively identify and champion projects that solve complex problems across multiple domains

  • Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our clients' businesses

  • Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support our clients' business processes

  • Empower teams both internal and external to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

Qualifications

  • BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
  • 3-7 years of commercial experience as a data science lead solving high impact business problems, including 1+ years leading and maintaining high performance data science teams
  • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
  • Experience building data pipelines and driving ETL design decisions
  • Experience delivering business impact through analysis and data products
  • Technical leadership and management experience where you can jump into the code to the level that your peers admire and respect, and are also interested in helping mentor your peers
  • Experience creating data product strategies, shipping data products, iterating after launch, and trying again
  • Strong ability to prioritize and communicate to technical and non-technical audiences alike
  • Working knowledge of Snowflake
  • Devops experiences a plus

Additional Information

We have very competitive compensation.

Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.

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