One Call | Hiring | Data Scientist I | Remote | United States | BigDataKB.com | 12 Oct 2022

Data Scientist I

We’re looking for colleagues who are ready to Think Big, Go Fast, Deliver Awe, and Win Together. These core values embody our diverse and inclusive culture and help us live out our mission of “getting people the care they need when they need it.” Over the last 30 years, our company has established itself as the market leader in managed care for the workers’ compensation industry. We are committed to making a positive impact in the lives of the injured workers we serve, and we have fun doing it.

Salary Range: 66,100.00 – 109,100.00 Salary

Salary may vary based on location, years of experience, qualifications, and skill set.

Benefits Summary:
In return for your commitment to our company’s mission, we offer a vast array of benefits to help support the whole you.

• Opportunities to work from home
• Competitive wages with opportunities to earn annual merit increases
• Paid development hours to use for community development!
• Generous paid time off, 8 company holidays, and 2 floating holidays per year
• $1,000 Colleague Referral Program
• Enterprise Recognition Program rewarding colleagues for their extraordinary work
• Exclusive discounts on travel, activities, and merchandise via work discount program
• Colleague Assistance Program that provides free counseling and financial services
• Tuition Reimbursement Program including certifications
• Quantum Health: A healthcare navigation platform to help our colleagues make the best, most cost-effective healthcare decisions
• Medical, dental, and vision insurance
• Pre-Tax FSA and HSA health savings accounts
• 401(k) matching
• Company paid life insurance
• Company paid short term and long-term disability
• Referral program
• Healthcare concierge
• The One Call Foundation which aims to help colleagues during unexpected emergencies, from car accidents to natural disasters.

The Data Scientist is a member of the Information Technology team who supports our leaders and other departments and stakeholders in the organization by providing insights gained from analyzing company data. The Data Scientist leverages strong experience and skills with a variety of data mining/data analysis methods, using a variety of tools to build and implement data models, using/creating algorithms and creating/running simulations to identify insights. The incumbent in this position is adept at using large data sets to find opportunities for operational, product and process optimization and uses models to test the effectiveness of different courses of action.

Entry level role requiring basic skills with a moderate level of proficiency. Works under close to moderate supervision. Consults with senior peers with goal of continually building knowledge/experience while minimizing risk. Job responsibilities focus on learning to apply standards, developing an understanding of the products and services, and advancing personal professional growth through certifications and tailored goal setting. Typically requires a minimum of 1 year of experience in the data science field and must be knowledgeable in computer statistical languages, machine learning techniques and data architectures.

GENERAL DUTIES & RESPONSIBILITIES:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of applications and operational processes, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, cost savings and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS:

• Bachelor’s degree (B.A. or B.S) in Statistics, Mathematics, Computer Science or another related quantitative field (Minimum for a Data Scientist I or II) and a minimum of 1 year relevant experience or more as outlined below for more senior levels of this position.
• Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field is required for the Senior Data Scientist

GENERAL KNOWLEDGE, SKILLS & ABILITIES:

• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of Talend and HVR helpful, but not required
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Is familiar with the following software/tools:

• Knowledge of analyzing client and customer survey data and net promoter scores.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and programming in statistical computer languages: R, Python, SQL, etc.
• Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Experience with distributed data/computing tools: RDBM and NoSQL systems, Snowflake, Tableau, Azure Machine Learning, SQL, Map/Reduce, Python, R
• Experience visualizing/presenting data for stakeholders using Tableau

PHYSICAL/EMOTIONAL DEMANDS & WORK ENVIRONMENTS:

• For roles located in office or home settings; this job is primarily sedentary and may involve repetitive motions; the employee is regularly required to sit, use hands and fingers, speak, and hear.
• For roles located in the field; this job is primarily active; the employee is regularly mobile and must be able to utilize transportation (such as driving), sit, use hands and fingers, speak, and hear.
• The employee is occasionally required to stand, walk, and lift objects (up to 10 lbs. weight; up to 4 ft. height).
• Specific vision abilities required by this job include ability to see things from a close distance and ability to adjust focus.
• The work environment utilizes florescent lighting; noise level is moderate.
• The emotional demand of the job may cause undue stress from, but not limited to, moderate/heavy workload.
• Reasonable accommodations will be individually assessed and possibly made to enable individuals with disabilities to perform the essential functions of the position.
• Please be advised the job description is subject to change at any time.