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Data Scientist - R01555477

Data Scientist

Primary Skills

Electrical grid engineer
data sets
Data Science

Job requirements

Electrical grid engineer

a. Understanding of

i. System protection

ii. Distribution automation

iii. 3 phase power system analysis

iv. distribution design, planning, or control/operations

v. SCADA and AMI data

vi. CIM network model

vii. Load flows

OpenDDS, Matpower, PSS/E, Cyme, pypower, PSAT, GridCal, or GridLAB

b. DER impacts on grid operations, control, and planning

c. Apply advanced analytics techniques through broad parameters on big, unstructured data sets; works with most complex big data sets

d. Provides guidance on design of databases for unstructured data sets, defining how the data will be stored, consumed, integrated and managed

e. Directs exploratory data analysis from complex data sources and builds complex data sets

f. Collaborates with Data Engineers to identify relevant data sets; engages with Data Engineers to review and provide feedback on data pipelines, and optimization opportunities

g. Takes an active role in determining overall data science strategies, and helps define and direct the continuing evolution of the data science discipline to meet the changing business needs of the enterprise

h. Monitors the effectiveness and performance of data science solutions and services to the business and directs efforts to continually improve the business value of these services

i. Designs complex data science models to predict outcomes or impact of key decisions; contributes to development of critical, transformative business strategy

j. Reviews and applies latest cutting-edge research on data science and model development

k. Brings external machine learning point of view and best practices to the organization

l. Oversees the design of automated, operational analytics processes to achieve scale and durability of analysis processes using Python

m. Designs testing strategy for evaluating algorithms and machine learning system n. Leads development of proof-of-concept prototypes to prove out hypotheses

o. Manages stakeholders across multiple functions to implement the models into production and monitors their performance

p. Acts as data science lead on agile teams; leads and guides team members on development practices in agile environments; collaborates with scrum masters and coaches to move projects forward

Know more about:

DAI: https://www.brillio.com/services-data-analytics/

Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

#LI-SR1

$130 - $140 a year

Data Scientist Power Systems Electrical Grid Python Matpower PSS/E GridLAB SCADA AMI CIM DER Machine Learning Big Data Load Flow pypower Cyme GridCal Exploratory Data Analysis Model Deployment Data Engineer

Average salary estimate

$135000 / YEARLY (est.)

min

max

$130000K

$140000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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FUNDING

Private

DEPARTMENTS

Data Science

SENIORITY LEVEL REQUIREMENT

Senior Level

INDUSTRY

Information Technology Support Services

TEAM SIZE