Job Specifications
Overview:
Our client's Enterprise Data and Analytics team is growing, and we're looking for an outstanding Senior Data Scientist to join our team. You will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how they understand our client's customers and the communities they serve.
As we advance our data science and analytics capabilities, we want experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. The Senior Data Scientist contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.
Responsibilities:
Performs advanced analytics methods to extract value from business data
Performs large-scale experimentation and build data-driven models to answer business questions
Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
Determines requirements that will be used to train and evolve deep learning models and algorithms
Articulates a vision and roadmap for the exploitation of data as a valued corporate asset
Influences product teams through presentation of data-based recommendations
Evangelizes best practices to analytics and products teams
Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
Skills:
Up-to-date knowledge of machine learning and data analytics tools and techniques
Strong knowledge in predictive modeling methodology
Experienced at leveraging both structured and unstructured data sources
Willingness and ability to learn new technologies on the job
Demonstrated ability to communicate complex results to technical and non-technical audiences
Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
Strategic, intellectually curious thinker with focus on outcomes
Professional image with the ability to form relationships across functions
Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
Financial Services background preferred
Experience:
1-3 years' work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.
Education:
Master's degree in computer science, statistics, economics or related fields
About the Company
Founded in 2012, Central Point Partners (CPP) is a certified woman-owned professional staffing and IT solutions firm based in Central Ohio. With a deep understanding of the market and a focus on innovation and excellence, we specialize in connecting top-tier talent with the region's most reputable companies. We take a personalized approach to the products and services we deliver, consistently surpassing the unique needs of your business. Our team of dedicated professionals shares a singular goal: to deliver talent solutions ...
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