Please direct your responses to: gretchen@skylinerecruiting.com
Solutions Research Engineer
Skyline is working with a dynamic startup in the Big Data space focused on delivering cloud-based predictive analytics to mid to large B2C enterprises. The company is backed by a premier venture firm, has a reputed founding team and has marquee customers, and is located in Santa Clara.
This is a unique opportunity for the right candidate to join at the ground floor of a fast moving startup in a massive market that is seeing tremendous discontinuity. We are looking for highly motivated people with a can-do attitude and exceptional skills and passion who will thrive in a fast paced environment that requires delivering high quality results, team work, desire to take on tasks that may be outside the defined role, and creatively address challenges.
We are looking for a solutions research engineer to join our solutions team reporting directly to the VP of Solutions and working closely with the Chief Scientist. The solutions research engineer will have ownership of applying the right science to solve a customer's business needs and will typically work with customers who are partnering on advanced solutions.
You will work closely with the science leadership team to determine the best approach to a given customer's needs. This would include coming up with the hypothesis and testing them against customer's data to finalize the modeling approach. This role will also require deep understanding of our GRASP engine, and ability to configure it, have good intuitive understanding of the algorithm and the intellectual capacity to suggest changes to the core GRASP engine as necessary.
You should be a strong applied research engineer that can bridge the gap between algorithms and customer requirements. You should be comfortable working in an agile development environment with iterative releases.
This is a quarterback position and requires that you have the ability to earn respect through your technical abilities.
Position Responsibilities:
• Come up with the right hypothesis to test and finalize modeling approach to a customer's needs
• Work closely with solutions management, science and other engineering leaders to delight the customer
• Contribute to the evolution of core GRASP engine algorithms based on real world applications
• Ownership for high quality and on-time delivery of configured models for customer deployment
Required Skills:
• 5 years experience in applied research in areas of data-mining as applied to consumer data required
• Experience in deploying data mining into real world applications required
• Experience in working with large volumes of consumer data with an eye for detail required
• Understanding of data-mining, algorithms, statistics and optimization required
• Hands-on experience in building systems that use machine learning techniques, such as logistic regression, Naïve Bayes, SVM, decision trees, neural networks, and random forests desirable
• Experience with Hadoop, HBase, Membase and related open source technologies desirable
• Strong verbal and written communication skills required
• MS/BS in Computer Science from a leading institution
• 5 years of experience in the industry
Thank you,
Gretchen
Gretchen Sand, Senior Partner
Skyline Recruiting Corporation
408-866-4144
gretchen@skylinerecruiting.com
@skylinegretchen
engage. search. happiness.
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