This is a position where you will manage a team of Data Scientists responsible for developing data-driven algorithms.
70% of this position is leading/managing a team and 30% (approx) of time on core data science work, R&D to build new models, monitor and improve existing model performance, and execute on pilots and new customer onboarding from a data science perspective.
Manage and lead our team of data scientists in our New York office, and oversee the delivery of key data science initiatives.
Direct and coordinate data science operations, quality assurance, testing, and maintenance activities.
Translate data science components of product roadmaps into development projects and milestones for the data science team.
Check accuracy of work delivered by data scientists on the team.
Manage, track and deliver on all data science projects.
Hire, train, motivate and mentor data scientists on the team.
Write performance reviews and solve internal issues.
Draft proposals and reports for the Data Science team.
Work closely with the engineering, development, infrastructure, QA, Sales, Marketing and Business Development teams to ensure data science components are delivered on time and in tandem with release plans and product roadmaps.
Establish administrative policies, procedures, and standards for the Data Science team.
Report out on product/project status to senior management.
Desired Skills and Experience
Bachelor's Degree in CS, Mathematics, Statistics or similar field of study or equivalent work experience. Master’s Degree a plus.
A minimum of 5 years of industry experience working in a similar role with similar seniority and level of responsibility.
Experience in developing data-driven algorithms in information retrieval, relevance, or machine learning.
Monte-Carlo techniques, nonlinear and regularized regression. Supervised & UnSupervised learning, Markov chains, Naive Bayes
Experience with R, Matlab, data mining, machine learning, statistical modeling tools and underlying algorithms
Experience working with distributed systems, and strong understanding of technologies like Spark, Hadoop/Hive, DataDog, Amazon Redshift, MongoDB.
Knowledge of UNIX systems management, Java, Scala, Python, C/C++, SQL, HQL, SPARQL for RDF.
Programming experience in one or more of the languages like Python/Shell/C/Java/Scala.
Working knowledge of Relational Data Base Systems and SQL.
Proven track record of running and building high-performance, process-driven data science team.
Results-driven individual who does whatever it takes to succeed and loves a challenge.
Effective communicator capable of explaining concepts clearly and credibly across all levels of the organization.
Hands on approach balanced with big picture understanding – can transition quickly from tactical to strategic.
Strong team player, results oriented, metrics driven and capable of working in a fast paced, changing environment.
Strong knowledge of Enterprise Software/SaaS industry and trends is a plus.
Salary is flexible, you will be paid a base salary plus bonus and offered a stock options package.
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