Required Senior Data Scientist.
Key responsibilities-
Work, under little to no supervision on tight schedule projects, with internal and external teams to understand customer requirements and develop proposals and data-driven, AI solutions to address to those requirements.
Lead and perform end-to-end steps involved in solution development, while establishing subject-matter expertise in key horizontal or vertical themes. Steps include preliminary data exploration and data preparation steps, variable/algorithm selection, model development/validation and scoring. Horizontal themes include: Marketing Analytics, Operations Research, Text Analytics, Graph Analytics, Hadoop, etc. Vertical themes include: Financial Services, Retail/CPG, Energy, Life Sciences, etc.
Independently develop and drive the model development lifecycle, testing of algorithms' efficacy (i.e., by applying to test/sampled data and assessing accuracy/fit/predictive strength) for differing analytical use-cases.
Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights to prospects and customers based on large-scale data, communicate and explain results and insights to business executives throughout projects life cycle.
Lead the definition of project use-cases, scope definition, and ongoing interaction with customers and business partners to provide status updates and shares analytical insights, collaborate with internal sales teams to educate prospects and customers on analytics offerings while leading pre-sales discussions by presenting on analytics service offering and technology stack .
Generate new product requirements for the engineering group to enhance the analytics capabilities of the big data platform, in alignment with emerging subject-matter expertise.
Serve as spokesperson on specialized projects and act as prime consultant on large projects and may be an informal team leader, contribute to partnerships & relationships with third parties by developing/testing vertical/horizontal analytical solutions and product integrations.
Requirements:
2+ years relevant industry experience / 4+ years academic experience.
M.Sc. in Computer Science, Math or related disciplines.
Experience with the data science toolbox, i.e..
Programming and Scripting skills (at least in one of the following: C, C++, C#, Java, Python, Bash, etc.).
Analytics platforms (at least in one of the following:R/ SaS/ Octave/Matlab, etc.).
Visualization tools (at least in one of the following: MatplotLib, ggplot, Tableau, D3, Processing, etc).
Customer focused & Problem-solving skills.
Possesses strong product/technology/industry knowledge.
Statistical analysis and mathematical skills.
Strives for professional development.
Advantages-
Experience with the data science toolbox, i.e..
Big Data technologies (Apache Spark, GreenPlum DB, Hadoop, Cassandra, MongoDB, etc).