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Data Scientist

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Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Data Scientist
Toronto Canada Remote Work from home

Why Pythian:
At Pythian we are experts in strategic database and analytics services driving digital transformation and operational excellence. Pythian a multinational company was founded in 1997 and started by ensuring the reliability and performance of missioncritical databases. We quickly earned a reputation for solving tough data challenges. We were there when the industry moved from onpremises to cloud environments and as enterprises sought more from their data we expanded our competencies to include advanced analytics.

Today we empower organizations to embrace transformation and leverage advanced technologies including AI to stay competitive. We deliver innovative solutions that meet each clients data goals and have built strong partnerships with Google Cloud AWS Microsoft Oracle SAP and Snowflake. The powerful combination of our extensive expertise in data and cloud and our ability to keep on top of the latest bleeding edge technologies make us the perfect partner to help mid and largesized businesses transform to stay ahead in todays rapidly changing digital economy.

Why you
As a Pythian Data Scientist you will be responsible for leveraging your expertise in data analysis machine learning and statistical modeling to deliver insights and build predictive models. You will work on both internal IP development and client projects applying a variety of techniques to solve complex business problems. Additionally you will use and finetune pretrained models such as Large Language Models (LLMs) to accelerate development and enhance model performance.

What will you be doing

    • Collect clean and analyze large datasets from various sources to extract meaningful insights.
    • Develop and implement machine learning models including both supervised and unsupervised techniques.
    • Finetune and adapt pretrained models (e.g. LLMs) for specific use cases and client projects.
    • Collaborate with crossfunctional teams including software engineers product managers and domain experts to develop datadriven solutions.
    • Build predictive models and algorithms that address complex business challenges.
    • Communicate results and insights effectively to stakeholders through data visualizations and reports.
    • Stay current with the latest developments in data science machine learning and AI with a focus on the practical application of pretrained models and cuttingedge technologies.
    • Develop and maintain internal IP around advanced analytics model development and AIdriven tools.

What do we need from you

    • Bachelors or Masters degree in Computer Science Data Science Statistics Mathematics or a related field. Ph.D. is a plus.
    • 3 years of experience in data science machine learning or a related role.
    • Proficiency in programming languages such as Python or R and experience with data science libraries (e.g. TensorFlow PyTorch Scikitlearn).
    • Handson experience with pretrained models such as Large Language Models (LLMs) or other deep learning frameworks.
    • Strong understanding of statistical analysis machine learning algorithms and data visualization techniques.
    • Experience working with databases (SQL NoSQL) and cloud platforms (AWS GCP Azure).
    • Excellent communication skills with the ability to translate complex data findings into actionable business insights.
    • Experience with clientfacing projects or in a consulting environment is a plus.

What do you get in return

    • Love your career: Competitive total rewards package with an annual bonus
    • Love your development: Hone your skills or learn new ones with our substantial training allowance; participate in professional development days attend conferences become certified whatever you like!
    • Love your work/life balance: Why commute Work remotely from your home (forever) theres no daily travel requirement to an office! You can be located anywhere in the US or Canada all you need is a stable internet connection.
    • Love your workspace: We give you all the equipment you need to work from home including a laptop with your choice of OS and an annual budget to personalise your work environment!
    • Love your community: Blog during work hours; take a day off and volunteer for your favorite charity.

Employment Type

Full-Time

About Company

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