Data Scientist -NV1 Clearance
at Capgemini
Sydney, New South Wales, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 07 Nov, 2024 | Not Specified | 08 Aug, 2024 | N/A | Research,Knime,Java,Power Bi,Spark,Business Intelligence Tools,Operations,Data Mining,R,Machine Learning,Alteryx,Computer Science,Qlikview,Presentation Skills,C++,Python,Scala,Business Acumen,Sql,Mathematics,Algebra,Data Science | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
ESSENTIAL SKILLS AND EXPERIENCE:
- Proven experience as a Data Scientist
- Experience in data mining, statistical methods, machine-learning and operations research
- Strong knowledge of and experience in R, SQL and Python; experience with Spark, Scala, Java or C++ is an asset
- Experience using Data Science tools (e.g. SAS EM, Alteryx, IBM Modeller, Knime) and
- Experience using business intelligence tools (e.g. Power BI, QlikView, Tableau etc.) and data frameworks (e.g. Hadoop)
- Analytical mind, business acumen, strong math skills (e.g. statistics, algebra) and problem-solving aptitude
- Excellent communication and presentation skills
- B.Sc. in Computer Science, Mathematics, Engineering or relevant field; graduate degree in Data Science or any other quantitative field is preferred.
LI-AR
Responsibilities:
ABOUT THE ROLE:
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns and build data products to extract valuable business insights. Your responsibilities include:
- Identify valuable data sources and automate collection processes
- Undertake pre-processing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models through the application of machine-learning algorithms
- Combine models through ensemble modelling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
BSc
Proficient
1
Sydney NSW, Australia