Lead Data Scientist (Oakville)

Lead Data Scientist (Oakville)

29 Oct
|
iVedha
|
Oakville

29 Oct

iVedha

Oakville

Vedha is looking for a data scientist that will help us discover the information hidden in vast amounts o iVedha is looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

iVei Lead Data Scientist

Vedha is looking for a data scientist that will help us discover the information hidden in vast amounts o iVedha is looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Role Overview

iVedha is looking for a Lead Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Lead Data Scientist responsibilities include conducting full lifecycle analysis to include requirements, activities and design for smart meter data use cases.

They will develop analysis and reporting capabilities alongside the Data Analyst. They will also monitor performance and quality control plans to identify improvements.

WorkType: Hybrid | Location: Oakville, ON

Requirements

Role Requirements





Our team consists of experts from diverse backgrounds, each bringing their unique perspectives and skills.

To succeed in this role, you’ll need:

Education:

- BS in Mathematics, Economics, Computer Science, Information Management or Statistics. Preference will be given to those with a Master Degree.

Experience:

- You have a deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
- Proven working experience as a Data Scientist, Data Analyst, Business Data Analyst, and/or other equivalent experience.
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL Server, Oracle etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing and presenting findings
- 8 - 10 years of experience in a planning, regulatory,



research, or analytical workplace is typically required to complete the responsibilities of the job. Experience in the electricity sector is preferred.

Nice to have:

- An advanced degree in engineering, computer science or related disciplines
- Extensive knowledge of cloud computing (preferable Microsoft Azure), Databricks andAI/ML model development.

Technical Skills

Statistical modelling and machine learning

Data engineering and SQL / data warehousing

Data quality and governance at scale

Stakeholder leadership and communication

Energy / smart meter domain knowledge

Key Responsibilities

The successful candidate will turn data into information, information into insight and insight into business decisions.

- Be an engaging member of the Smart Metering team.
- Support the development of the Smart Meter Data products and use cases.
- Lead and manage internal and external working groups and provide the Smart Metering perspective by participating in various stakeholder engagements that impact the collection and use of all data stored in the MDM/R.
- Provide guidance and mentorship to other members of the team.This may include problem resolution, training, and quality checks on their work.
- Work with SMEs within and outside Smart Metering as necessary to integrate new technology into the MDM/R or data sets resulting from analytics into downstream processes.
- Provide guidance to other business units on Smart Meter data and the MDM/R and applicable use cases.

In a typical day, you will;

- Support, as required, specialized system and market efficiency studies
- Provide

📌 Lead Data Scientist (Oakville)
🏢 iVedha
📍 Oakville

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