Synechron is looking to hire Senior Data Scientist in New York City, NY
Synechron, award winning, fastest-growing digital, business consulting & technology services providers, is a $500 million firm based in New York. Since inception in 2001, Synechron has been on a steep growth trajectory. With 8,000+ professionals operating in 18 countries across the world, it has presence across USA, Canada, UK, France, The Netherlands, Switzerland, Luxembourg, Serbia, Hungary, Germany, Italy, UAE, Singapore, Hong Kong, Philippines, Japan, Australia and Development Centers in India.
Design and develop scalable solutions to complex problems using statistical modeling, machine learning, Natural Language Processing, Optical Character Recognition, and deep learning;
Implement solutions in Python in multiple environments including Spark, AWS, and Azure;
Manage junior data scientists in the implementation of machine learning solutions;
Meet with clients to understand business use cases, identify needs, and formulate end-to-end solutions encompassing data ingestion, cleansing, modeling, and predictive and prescriptive analytics;
Manage the ingestion and cleansing of large data sets using big data tools such as Spark;
Translate solutions into business requirements;
Independently formulate new ideas for solving client problems or providing clients with new tools for growing revenue, reducing cost, improving customer acquisition and retention, and automating business processes.
Hold a MS or PhD degree in a quantitative discipline: computer science, applied mathematics, statistics, operations research, management of information systems, engineering, economics, social sciences or equivalent;
Programming skills in Python;
Presentation skills including experience presenting complex ideas to clients and prospects;
The ability to independently formulate solutions to complex problems or to otherwise think of potential solutions without guidance;
8+ years of total experience including 4+ years of experience developing machine learning systems in Python, Java, or a related programming language;
Hands on experience with data mining, machine learning, econometric analysis or equivalent;
Experience in Hadoop or other MapReduce paradigms and associated languages such as Spark;
Experience with Unix/Linux environment for automating processes with shell scripting.
Strong Python programming skills;
Knowledge of deep learning and related open source libraries such as TensorFlow;
Financial Services experience and knowledge of the FS industry;
Deep knowledge of Natural Language Processing;
Experience with Spark and machine learning libraries such as MLlib;
Experience in marketing and sales, being an innovator and disruptor is also a plus;
Being self-motivated, creative and collaborative;
Strong presentation and communications skills.
If you are interested in this role please send resume to or call (732)-###-####
Kind regards, Shankar Patil
- provided by Dice Associated topics: circuit, c++, electrical, electrical engineering, linux, matlab, photonics, processor, robotics, software engineer
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.