Data Scientist

  • location: Charlotte, NC
  • type: Contract
  • salary: $55 - $65 per hour
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job description

Data Scientist

job summary:
The ideal candidate must have strong skills in:

1.Python

2.SQL/ relational databases

3.Fast-paced delivery

In addition, we will strongly consider candidates with any of the following:

1.Python specific visualization libraries such as:

a.Seaborn

b.Matplotlib

c.Bqplot

2.Business Intelligence tools such as:

a.Sisense

b.Looker

c.Tableau

d.Qlik Sense

3.Experience with a financial markets Time-Series Database such as:

a.OneTick

b.KDB

 
location: Charlotte, North Carolina
job type: Contract
salary: $55 - 65 per hour
work hours: 8am to 5pm
education: Bachelors
 
responsibilities:
The ideal candidate must have strong skills in:

1.Python

2.SQL/ relational databases

3.Fast-paced delivery

In addition, we will strongly consider candidates with any of the following:

1.Python specific visualization libraries such as:

a.Seaborn

b.Matplotlib

c.Bqplot

2.Business Intelligence tools such as:

a.Sisense

b.Looker

c.Tableau

d.Qlik Sense

3.Experience with a financial markets Time-Series Database such as:

a.OneTick

b.KDB

 
qualifications:
The ideal candidate must have strong skills in:

1.Python

2.SQL/ relational databases

3.Fast-paced delivery

In addition, we will strongly consider candidates with any of the following:

1.Python specific visualization libraries such as:

a.Seaborn

b.Matplotlib

c.Bqplot

2.Business Intelligence tools such as:

a.Sisense

b.Looker

c.Tableau

d.Qlik Sense

3.Experience with a financial markets Time-Series Database such as:

a.OneTick

b.KDB

 
skills: The ideal candidate must have strong skills in:

1.Python

2.SQL/ relational databases

3.Fast-paced delivery

In addition, we will strongly consider candidates with any of the following:

1.Python specific visualization libraries such as:

a.Seaborn

b.Matplotlib

c.Bqplot

2.Business Intelligence tools such as:

a.Sisense

b.Looker

c.Tableau

d.Qlik Sense

3.Experience with a financial markets Time-Series Database such as:

a.OneTick

b.KDB


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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