Data Scientist

Aditi Consulting • Contract • Johnston, IA, US • $50 - $66 / hour • 3d ago

Payrate: $50.00 - $66.00/hr.

Summary:
Collaborates with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization, and/or machine learning.

Responsibilities:

Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information.
Validates findings using experimental and iterative approaches.
This level performs basic statistical analysis of low to moderately complex data from a single source, with heavy reliance on industry/standardized tools and existing models.
Output is reviewed by higher-level Data Scientists or Analytics Manager for execution.
Works with data sets and performs appropriate analytical methodology to provide insights and decision modeling for the business.
Creates and implements algorithms which manage the data to enable it to be analyzed in an efficient manner.
Supports the communication of derived insights, especially through appropriate visualization techniques.
Supports the identification of the required data sources and works with Data Wranglers and/or IT to implement methodologies to retrieve and use this data.
Stays abreast of the latest appropriate analytical techniques and recommends these where needed.
Explains implementation and usage in business terms.
Applies analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business

Qualifications:

Degree in a Math discipline or equivalent experience.
University Degree (4 years or equivalent)
Economics - University Degree (4 years or equivalent)
Statistics - University Degree (4 years or equivalent)
Internal or external industry specific experience in relevant discipline. (1 - 3 years)
Data analytics experience. (1 - 3 years)
Background or proven experience in mining data for analytics insights. (1 - 3 years)
Good exposure to enterprise statistical tools like SAS, Statistica, SPSS or SAS E Miner (1 - 3 years)

Desired Skills:

SQL Query experience (1-3 years)
Python (3-5 years)
Pyspark (3-5 years)
Dashboard design experience (3-5 years)
Experience with Tableau (1-3 years)

Preferred Skills:

Quantitative analytical skills
Knowledge of appropriate industry
Good interpersonal, negotiation and conflict resolution skills.
Excellence in verbal and written communication forms with emphasis on persuasive communication, tact and negotiation.
Business process knowledge of assigned area(s) and/or function(s).
Knowledge of advanced data gathering and analysis techniques, including statistical analysis.

Combine raw data into useful summarizations
Experience working with large scale data
Experience creating automated unit tests
Experience working in uncertain environments with limited requirements
Experience translating complex data into business visualizations

Pay Transparency: The typical base pay for this role across the U.S. is: $50.00 - $66.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.

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