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Randstad is offering virtual interviews and remote onboarding as we work to open up our local offices safely. In locations where onsite work is currently required, we’ve established safety protocols and controls that meet the guidelines set by the CDC, OSHA and local health authorities.

about randstad
Randstad is the global leader in the HR services industry. We support people and organizations in realizing their true potential by combining the power of today’s technology with our passion for people. We call it Human Forward. In 2019, we helped more than two million candidates find a meaningful job with our 280,000 clients. Furthermore, we trained more than 350,000 people. Randstad is active in 38 markets around the world and has top-three positions in almost half of these. In 2019, Randstad had on average 38,280 corporate employees and generated revenue of € 23.7 billion. Randstad was founded in 1960 and is headquartered in Diemen, the Netherlands. Randstad N.V. is listed on the NYSE Euronext (symbol: RAND.AS). For more information, see www.randstad.com.

Find out what it's like to walk a mile in the shoes of a Randstad employee.

Lead Data Scientist

Location: Atlanta, Georgia US

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Job Number: 32385

Employment Type: Full Time Associate

Position Title: Lead Data Scientist

External Description:

The Data Scientist employs big data technologies and analytics techniques to process and analyze large amounts of data to derive insights and predictions that help improve business decisions.  In order to do this, the Data Scientist must be able to organize data, cleanse and normalize raw data, process data for statistical modeling using computers, and identify relationships and trends in data. The Data Scientist must demonstrate strong programming skills and be able to develop, test, and deploy solutions that address different business problems. The Data Scientist must also have a strong educational foundation in data analytics, statistical modeling, advanced machine learning, artificial intelligence, database technology, computer programming, and  software engineering. The Data Scientist must be able to think analytically, and must be detail oriented.  Also, the Data Scientist should be able to effectively communicate with supervisors and business leaders who may not have strong data analytics or statistical background.
The Data Scientist will usually work independently with guidance provided by the senior team members.

Duties and Responsibilities

Data Analysis and Problem Solving: 
Use advanced analytics techniques to process and analyze large amounts of data to identify trends and relationships within the data and draw actionable insights. This requires being able to prepare data by organizing, adjusting and weighting the raw data, applying advanced analytics approaches, and processing large amounts of data using computers.  

Support and Testing:
Use skills to validate the functionality of software solutions and provide necessary support to end-users to resolve different operational issues.  
 
Communication:
  • Work with different teams (IT managers, Executives, Business Partners) to better understand the business and the challenges. Clearly articulate discoveries and insights and challenges with management. Troubleshoot medium complexity problems.  
  • Mentoring Junior Employees: Be actively involved with the training, assistance, and development of less experienced Big Data Analysts and Data Scientists. 
  • Software Application Development: Use computer programming languages to implement and build statistical modeling or machine learning algorithms. Must be able to program, test, execute, debug, and deploy solutions.  
  • Problem Formulation: Responsible for translating business problems into models which are used as the foundation for data-driven solutions. This requires understanding and being able to apply the current state of the art in big data, machine learning, and data science to business scenarios.  
Education
  • Minimum Graduate Degree Masters Degree in Statistics, Computer Science, Applied Mathematics, Data Science, MIS, Management, Operations Research, Industrial Engineering or equivalent (PhD degree preferred)
Work Experience
  • Minimum 5  Years of Experience to Maximum 10 Years of Experience of Database technology  (Oracle, DB2, Bigquery, Hadoop, Impala, SQL, etc.)
  • Minimum 5  Years of Experience to Maximum 10 Years of Experience of Data Cleaning, Manipulation, Analysis, and Reporting
  • Minimum 5  Years of Experience to Maximum 10 Years of Experience of Data visualization (javascript, tableau, gnuplot, matplotlib, etc)
  • Minimum 5  Years of Experience to Maximum 10 Years of Experience of Programming Language (Python,  Javascript, Java, C, etc.)
  • Minimum 5  Years of Experience to Maximum 10 Years of Experience of Machine Learning/Applied Statistics/Artificial Intelligence
Knowledge, Skills, and Abilities

     • World League IT Competencies

     • Business Impact: Intermediate Business Domain knowledge.
     • Strategic Architect: Intermediate level understanding of technical area relevant to role.
     • Influential Networker: Influential within team.
     • Governance & Protection: Follows Risk management protocols.
     • Culture of Innovation: Identifies opportunities for improvement within work area.
     • Leadership 2020 Competencies
     • Intellectual Strength: Demonstrated success working with abstract requirements. Intermediate ability to identify issues/gaps at early stage. Intermediate problem solving. Demonstrated ability to apply concepts appropriately.
     • Agility: Ability to respond to customer needs with speed and accuracy. Willingness and eager to learn; is curious.
     • Excellent Execution: Ability to follow standards & directions. Ability to multi-task and prioritize work. Accountable for personal results and teamwork. Asks for guidance as needed.
     • Leadership: Sense of ownership & commitment. Values diverse perspectives. Has a high standard for own work and result.
     • Connecting: Effective verbal and written communication skills. Ability to communicate commitment and work collaboratively.
     • Partnering: Basic situation analysis combining the technical and business point of view.


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.

At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants.  If you require a reasonable accommodation to make your application or interview experience a great one, please just let us know.

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Location_formattedLocationLong: Atlanta, Georgia US