Chief Data Scientist
Our Client is a leading technology company that uses artificial intelligence to provide visibility, digitization and prediction of materials data and inventory for complex supply chains. The company’s AI software harmonizes disparate material data across ERP instances/systems while providing trusted data across the enterprise to reduce costs. Intelligent controls enforce inventory procedures to help prevent future inventory spikes, while predictive capabilities optimize allocation and procurement needs. The result is a data foundation you can trust to move quickly to innovate and support related Industry 4.0 initiatives.
Our Client’s vision is to build the intelligent, connected supply chain. This enables global supply chains to trade demand signals, digital goods, and digital materials data across their supply chain network…powered by a trusted intelligence they need to run their global organizations. Currently, the company focuses on asset intensive global operations and customers include leading CPG, Food and Beverage other F500 Organizations.
Our Client is Venture backed with investors including, Glasswing Ventures (Boston), Flyover Capital (KC), Zetta Venture Partners (SF), Kubera VC (SF) and Engage Ventures (ATL). They are currently a Signature Company @ Georgia Tech’s Advanced Technology Development Center (ATDC). Their partnerships include SAP, Accenture, and are a portfolio company of SAP.iO.
Our Client is seeking a Chief Data Scientist to add as a senior member of staff who will provide the following to the organization:
1. Significant experience in designing, implementing, and owning data science best practices, identification and rollout of improved methodologies, mentoring, training, and change management practices.
2. An ambitious and open-minded research and development initiative that will expand our Client’s product offerings and channels.
3. Advocacy and representation of Data Science within the organization as a key stakeholder of our Client’s product offering and bridge-builder to parallel departments.
This person will be responsible for implementing and advocating for best practices and innovation within and outside of the Data Science organization, acting as a leader, mentor, subject matter expert, and director of Data Science efforts.
The ideal candidate has significant experience in designing, implementing, and owning accountability for product improvements in a Platform-as-a-Service offering. This person will have regularly identified improvements and change management actions to increase the capabilities of Data Science in a rapid-growth organization. As a senior leader at within our organization, the Chief Data Scientist will require empathy, mentorship strategies, bias for action, and situational leadership capabilities to continuously enhance a growing team with a diverse set of backgrounds.
As Chief Data Scientist, this person will be ambitious and open-minded in approaching unique and often abstract situations. As a key stakeholder in Our Client ‘s overall strategy, the Chief Data Scientist will regularly interact and consult with senior leadership on the direction and capabilities of our product.
Customer and product focused innovation
Model quality specification and oversight
Architecture development: including specifying 3rd party tools and libraries for pipelining and deployment
Sets and maintains coding standards
Sets and maintains AI standards
Works closely with backend developers and product teams on feature planning and development
PhD in Data Science or computer science is preferable. Will seriously consider other candidates with significant experience.
Statistics: theoretical foundation in various common distributions, MAP/MLE, bayes, probability theory.
Familiarity with some statistical analysis software/library like SciPy or SPSS, SAS, R
Natural Language Processing.
Time Series forecasting. Experience with sparse time series forecast a plus.
Algorithmic design and complexity analysis.
Python – including production grade code, OOP, unit & integration testing
Data engineering: SQL, Spark, Hadoop, etc
Deep Learning & Neural Networks.
Familiarity with some DL libraries: e.x. Pytorch or Tensorflow
Experience with graph-based networks are a plus.
Experience w/ “big data” technologies a plus
Experience w/ very short texts / abbreviated texts a plus.
Experience with inventory planning / control a plus.
Experience with multi-echelon inventory planning a plus.
Experience with supply chain a plus.
Commitment to Diversity and Inclusion
Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications, as described in a job description. Our top priority is finding the best candidate for the job, and if you are interested in this position, we encourage you to apply, even if you do not believe you meet every one of our qualifications described.
For More information please contact:
Ross Freeman | 680 Partners LLC | 212-931-5311 | email@example.com
To apply for this job email your details to firstname.lastname@example.org