Take on the role of Data Scientist for amultinational Fortune 500 Project in Canada. Drive innovation andcontribute to technological excellence.
Apply today to become a keyplayer in the dynamicteam.
Responsibilities :
- Tackle diverse challenges to gain insights intocustomer interactions with the companys products identifying keydrivers for increased adoption andengagement.
- Utilize expertise in quantitativeanalysis data mining and machine learning to develop models thatguide product development strategic decisionmaking and roadmapprioritization.
- Design and implement machinelearning pipelines to enhance the products evidencebaseddecisionmaking capabilities.
- Collaborateclosely with senior leaders across Product Marketing Engineeringand Design teams to ensure datadriven decisions are made using themost impactful data science and analyticsmethodologies.
- Provide technical leadership andmentorship to junior team members helping them deliver key machinelearningpowered features for the Digital CustomerPlatform.
MinimumQualifications :
- MS or PhD in aquantitative discipline such as Mathematics Physical SciencesStatistics Computer Science or a relatedfield.
- 5 years of industry experience with astrong passion for designing analyzing and deploying machinelearning solutions.
- Expertise in Large LanguageModels ( LLMs ) including RAG and Generative AI as well as Natural LanguageProcessing( NLP ).
- Experiencewith relational ( SQL ) and / or NoSQL databases.
- Handson experiencewith big data technologies like Hadoop Spark and Hive .
- Proficientin one or more programming languages such as Python Java or Scala .
- Skilled inusing data science toolkits such as pandas Jupyter scikit learn and TensorFlow .
- Familiaritywith machine learning techniques including classificationclustering regularization optimization and dimensionalityreduction.
- Ability to write cleanwelldocumented scalable code with Python being the preferredlanguage.
- Strong communication skills capableof translating complex technical concepts for nontechnicalaudiences and effectively presenting datainsights.
- Experience with cloud platformsparticularly AWS .
- Familiaritywith MLOps practices and optimizingmachine learning workflows inproduction.
- Proven track record in leadingresearch that results in publishedwork.
APPLYNOW!
NearSource Technologies valuesdiversity and is committed to equal opportunity. All qualifiedapplicants will be considered regardless of their race colorreligion sex sexual orientation gender identity national origindisability or status as protectedveterans.
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