R Systems: Director, Data Science

Seeking a senior leader to grow existing and acquire new accounts across verticals, leveraging differentiated offerings combining process, statistics, data science and technology for predictive analytics initiatives.

R Systems At: R Systems
Location: Noida, U.P., India or San Francisco-Bay Area, CA
Web: www.rsystems.com

Email to Ramneet@rsystems.com

R Systems supports our client's business across front, middle and back office functions by combining technology, operations, and analytics services. The role requires a senior leader to grow existing and acquire new accounts across verticals, leveraging differentiated offerings combining process, statistics,data science and technology for predictive analytics initiatives.

Specific Responsibilities:
  • Develop and communicate strategic plan across Analytics initiatives across several verticals like BFSI, Healthcare, Manufacturing, Digital Media, and Real Estate etc.
  • Establishing and implementing Actionable Business Outcomes (ABOs) for predictive and prescriptive analytics use cases.
  • Create a development plan & own the development cycle
  • Own vision
  • Developing and communicating a strategic plan and strategy to achieve assigned goals
  • Working closely with the Practice and delivery organizations to foster a client centric culture and cohesive teaming environment
  • Working closely with Analytics practice in identifying & establishing specific solutions.
  • Leading the development of long-term relationships with new and existing clients through careful planning, strategizing, and value creation
Desired Skills and Experience
  • Languages/Tools: Python/R
  • Approaches: Machine Learning
  • Concepts: Supervised - ANN, Bayesian, Gaussian, Vector Quantization, Logistic Model, Minimum Message Length, SVM, Random Forest, Ensembles, ANOVA, Decision Trees, Hidden Markov Models
    Unsupervised - ANN, ARL, Clustering - Hierarchical, Cluster Analysis
    Reinforcement Learning
  • Big Data (Good to have): Hadoop /Kafka / Storm / Spark streaming
  • OS: Linux, Windows 32/64 bits.
  • Experience of handling high frequency streaming data for real time analysis and reporting.
  • Familiarity with - Natural Language Processing, Statistical Analysis (distribution analysis, correlation, variance
  • Experience with open source technologies is a must.
  • Energy/Hunger for Growth
  • Excellent communication and executive presence to connect at CXO levels
  • Ability to lead & build strong teams
  • Ability to work in an ambiguous environment
Expected Qualifications and Past Experiences:
  • Experience in relevant field such as Statistics, Computer Science or Applied Maths or Operational Research.
  • Must have PhD in (Math's/Statistics or Applied Mathematics/Machine Learning etc.)
  • History of successfully performing customer implementations
  • Strong customer facing skills, and previous consulting experience
  • At least 6+ years' experience in a related role
About R Systems
R Systems, founded in 1993, is a specialized IT Services & Solutions and IT-enabled Services provider catering to a wide range of global customers. We are endowed with some of the industry's highest quality certifications and standards, including SEI CMMI Level 5, PCMM Level 5, ISO 27001:2005 and ISO 9001:2008. Our IT services and solutions span five major verticals which include Telecom & Digital Media, Banking & Finance, Healthcare, Manufacturing & Logistics, and Government Services.

Ever since our inception, we have grown in size and capability and currently operate from 13 development and service centers spread across Asia Pacific, Europe, and North America. We serve customers worldwide using our global delivery model and 2500+ expert resources. We have won countless accolades from global customers for our benchmarked delivery track record, quality standards, and adaptability to technological challenges.

Our strength lies in our quality procedures, delivery and operational excellence, customer-centric approach, intellectual capital, and culture of innovation. With a rich legacy spread over two decades, we generate Value that helps organizations transcend to higher levels of efficiency and growth. Quite like the Oyster Delivering the Pearl!