DATA SCIENTIST

 

At Churchome, we are on a mission to be the best at telling the story of Jesus to the world. 


His story is the story of amazing grace demonstrated in lavish love and great forgiveness offered to all people in every part of the world so they can find home in God. Jesus is the focal point of His story. He is the personification of grace, love, and forgiveness and He desires everyone to know Him and experience who He is. So we want everyone to know and experience Jesus too! 

ABOUT THIS ROLE


The Data Scientist is responsible for overseeing the collection, storage and interpretation of data for Churchome. Their duties include sifting through data points to create organized categories, comparing data points to current organization processes and writing reports outlining predictions or proposals.  The Data Scientist will analyze large amounts of raw information to find patterns that will help improve the organization and our ability to serve and reach our community and the world. This role will be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. This involves a passion for machine-learning and research. The goal will be to help the organization analyze trends to make better decisions.

 

The Data Scientist must be a forward-focused, team player with a faith-filled attitude. The role reports to The Chief of Strategy. 


The Data Scientist will contribute towards the organization's objectives to make data informed decisions so that we can tell the story of Jesus in efficient and effective ways, by performing the following responsibilities.

 


RESPONSIBILITIES 


  • Define, invent, and deliver behavioral and human labeled metrics which accurately measure the satisfaction and success of our programs and services

  • Research, analyze, and decide between various sampling strategies which accurately reflect user perception

  • Make independent decisions for the team and handle difficult tradeoffs

  • Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders

  • Partner effectively with program management, engineers, and other areas of the business

  • Develop project plans, user acceptance test plans and communication plans for knowledge transfer to end-user.

  • Document business processes and flows in Visio, graph.io or similar tool.

  • Manage projects according to the processes and standards according to industry best practices

  • Work on state-of-the-art large-scale data analytics and machine learning projects

  • Design and develop data science pipeline using PySprak, Scala, SQL, etc for parallel processing

  • Drive predictive analytics from time series and GIS based data points

  • Help define the analytical direction and influence the direction of the associated engineering and infrastructure work.

  • Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations.

  • Partner with internal stakeholders on projects to identify and articulate opportunities, see beyond the data to identify solutions that will raise the bar for decision making.

  • Extract actionable insights from broad, open-ended questions

  • Adapt machine learning and data mining algorithms to solve problems across several teams

  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what can improve our processes, programs and services

  • Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the challenge.

  • Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.

  • Churchome may also assign other duties or responsibilities, in its sole discretion. 


EMPLOYMENT REQUIREMENTS

Education/Experience: 

  • Bachelor’s degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Operations Research, Qualitative Social Science or another related degree.

  • 3+ years of Data or Machine learning Science experience working on highly complex problems in a dynamic setting

  • Strong programming skills, especially in Scala or Python with 3+ years of relevant experience in a programming intensive role.

  • 3+ years of experience developing applications in PHP, Java, C++, Python, SQL, R


Knowledge/Skills: 

  • Data architecture with privacy and security as a foundation

  • Strong verbal and written communication, attention to detail, and organization

  • Highly motivated and able to work independently as well as in a team environment

  • Comfortable working in a fast-paced and demanding setting

  • Ability to quickly learn and master new technology

  • Proven track record of developing and deploying algorithms for a production-ready recommendation, data mining or prediction systems using languages and big data platforms such as Scala, Python, Java, Spark, Presto, and Hive


Preferred Qualifications:

  • Ability to present data in a visual format and explain the insights clearly and concisely

  • Experience with data visualization tools such as DOMO and Tableau

  • Highly motivated, organized, self-starter who thrives in a fast-paced environment

  • Strong knowledge and hands-on experience with statistical testing such as A/B, multivariable, and Bayesian testing

  • Demonstrated capacity to develop innovative solutions, systems and products to support company objectives.

  • Ability to effectively communicate business issues and needs at a senior leadership level and how technology supports those requirements.

  • Demonstrated ability to serve as a technical authority within the organization and with customers.

  • Experience managing projects or customer relationships of critical importance.

  • Demonstrated ability to learn and immediately apply new programming languages, techniques and technologies



BENEFITS OF WORKING AT CHURCHOME


  • Generous paid vacation and holiday time off

  • Comprehensive health benefits for FTE

  • 403B plan with matching employer funds

  • Flexible work environment

  • Paid parental leave, including adoption

  • A community of incredible colleagues with a heart for Jesus and passion for their work


We are committed to building an equitable and inclusive culture of belonging that not only embraces the diversity of our staff but also reflects the diversity of the communities we serve. We know that the happiest and highest performing teams include people with diverse perspectives and ways of solving problems so we strive to attract and retain talent from all backgrounds and create workplaces where everyone feels empowered to bring their full, authentic selves to work. We are forward-focused, team players who possess faith-filled attitudes so we can be the best at telling the story of Jesus to the world.



EMPLOYMENT INFORMATION


Work Location: To Be Determined

Employee Work Style: Fully Remote

Employee Work Hours Per Week: 40 hours

Employee Work Week Schedule: Monday through Friday  

FLSA Status:  Exempt

Supervisor: Chief of Strategy Officer

Staff Supervision: N/A

Pastoral Licensure Requirement: N/A


Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. 


Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


While performing the duties of this job, the employee is regularly required to sit.  The employee is frequently required to use hands to finger, handle, or feel and talk or hear.  The employee is occasionally required to stand and walk. The employee must be able to occasionally lift and/or move up to 10 pounds.  Specific vision abilities required by this job include close vision.


Employees of Churchome must comply with the policies, procedures, requirements and responsibilities set forth in the staff handbook and the church’s other manuals and directives, as revised by the church from time to time.  These include, for example, attendance at the weekly staff meeting, lifestyle expectations and church attendance expectations.  This job description is subject to revision by Churchome at any time and for any reason.  Nothing in this job description shall be construed as an implied agreement or promise of specific treatment of an employee, and it does not change the at-will employment relationship between the employee and Churchome.


The above job description is not intended to be an all-inclusive list of duties and standards of the position.  Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.

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