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Data Analyst/Scientist

2 months ago


Sacramento, United States Connvertex Technologies Inc. Full time
Job DescriptionJob Description

KFORCE URGENT REQUIREMENT

Looking for candidates regarding the following:

POSITION

3 openings. 1 can be a "Data Analyst/Scientist". The other 2 need to be more statistician-like

LOCATION

Fully onsite Sacramento, CA - Elk Grove area

DURATION

6-12 months

PAY RATE

$80/hr on w2 based on YOE in the desired skills

INTERVIEW TYPE

Video

VISA RESTRICTIONS

None

REQUIRED SKILLS

Note from client:

One of the main challenges I have faced is that most of the contractors I have interviewed equate building visualizations and dashboards to analysis, when that's actually just the starting point. Data exploration is essential, but insufficient to derive robust

insights. I am looking for someone who has this same perspective and knows how to use the appropriate techniques to derive robust insights

Responsibilities:

Perform formal statistical analyses, including hypothesis testing, regression, and causal modeling.

Use SQL for data extraction, transformation, and modeling to prepare datasets for analysis.

Develop and automate statistical models, conduct exploratory data analysis, and implement machine learning algorithms using Python or R.

Design and build interactive visualizations in Tableau that effectively communicate insights and drive business decisions.

Translate complex analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

Stay current with advancements in statistical techniques and data visualization tools.

Qualifications:

Excellent verbal and written communication skills.

Minimum of 4 years of continuous professional experience in data science, with a focus on statistical modeling.

Proficiency in Python, SQL, and Tableau.

Strong knowledge of probabilistic, statistical, and regression modeling.

Preferred Qualifications:

Experience with causal modeling, explanatory machine learning, and model interpretation.

Experience in a fast-paced, dynamic environment, preferably in information technology.