Share this Job

Director / Senior Manager, Advanced Analytics

Reston
US

Mission

Put Science into the Sales & Marketing Process to do things by design not by chance.

 

Key Responsibilities

As a Director of Advanced Analytics/Data Science you will do things like:

  • Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.
  • Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
  • Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.
  • Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.
  • Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.
  • Continuously improves technical and leadership skills through training and development.

 

Desired Skills and Experience

  • Experience applying advanced analytical techniques (e.g. predictive modeling, optimization, natural language processing, time-series analysis) to real-world problems
  • Demonstrated skills to iteratively conceptualize, design and build data-driven analytical models
  • Demonstrated skills to prepare large, heterogeneous data sets to support advanced analytics
  • Demonstrated skills in data science tools like python, R, SQL, Spark, Hadoop, Jenkins, Git, etc.
  • Strong skills in project management, communication, and framing operations/business problems as analytical problems
  • Willingness to pick up tedious tasks to get job done when necessary

 

Preferred Qualifications

  • MS preferred
  • Engineering degree

Culture
We have an open-minded culture and many exciting projects where you have the freedom to “be your best you”. You’ll have opportunities for international collaboration on top of a comprehensive training and development program that encourages professional growth. We are in an innovative market and offer future-proof products. Most importantly, an overall a pleasant team-oriented working atmosphere.


This is a fast-paced environment - we are looking for smart, high energy candidates who are driven to make a big impact and who want to work alongside a growing team. We collaborate often so you must be team player! The perfect candidate will thrive on the prospect of taking on new challenges and helping Software AG increase its leadership in the digital transformation marketplace!

 
What to Expect

  • The employees are smart, friendly and welcoming
  • Health Insurance starts your first day on the job
  • 6 weeks of PTO – 3 weeks of vacation and 3 weeks of sick leave
  • 14 paid holidays (including a floating holiday and a community service day)
  • 401(k) Plan with up to 5% employer match
  • Parental Leave
  • Corporate discount purchase programs
  • Group legal plans
  • Pet Insurance
  • And MANY more

 

Software AG is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration without regard to race, age, religion, color, marital status, national origin, gender, gender identity or expression, sexual orientation, disability, or veteran status.
 
Click on the link to view the full EEO statement

http://www.softwareag.com/corporate/images/EEO_Statement_tcm16-130491.pdf

 

 

#LI-CB1

IND123

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


Nearest Major Market: Washington DC

Job Segment: Analytics, Manager, Data Analyst, Engineer, Marketing Manager, Management, Data, Engineering, Marketing