This is a great opportunity to join a NEW Business Intelligence team just being established. Our client is a successful and profitable company, in business over 30 years with no layoffs, and that has the resources to hire NOW.

The ideal person for this job will have a couple years experience in Data Science and be production oriented vs. pure research oriented.

In this job, you will identify high-value analytical targets, goals, and opportunities within business intelligence and analytics. You will perform advanced analytical exploration, which may include predictive analytics, outlier detection, semantic analysis, and natural language processing.

You will be the lead modeler for machine learning and AI efforts, determining the correct libraries and algorithms to use. This role supports model development within the team, as well as the productionalization and ongoing maintenance and retraining of those models. Each day, you will work to develop the advanced analytics processes and capabilities that enhance our product offerings and increase the firm’s competitive advantages.

Key responsibilities

• Collaborating with various business units to identify data-driven, machine learning business opportunities
• Working with the architecture and product teams as needed to understand company needs, devise solutions, and assist in the integration of trained models into other products or processes
• Implementing appropriate statistical, mathematical, or coding methodologies as needed for advanced analytics use cases
• Selecting features, building and optimizing classifiers, and using machine learning techniques
• Performing data mining and advanced analytics using appropriate state-of-the-art methods
• Identifying and extending the company’s data with third-party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Collaborating with architecture, product, and business intelligence teams to identify big data opportunities, as well as standardizing advanced analytics to increase the value of those opportunities
• Keeping up to date with technology trends, specifically analytics, machine learning, AI, and DevOps
• Processing, cleansing, and verifying the integrity of data used for advanced analysis
• Performing ad hoc analysis and presenting results clearly
• Educating and mentoring other team members on advanced analytical concepts and processes

Core strengths

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, and Decision Forests
• Able to conceptualize advanced analytical processes, such as machine learning and deep learning
• Experience with common data science toolkits and libraries, such as R, Python, Weka, NumPy, and MatLab
• Good written and verbal communication skills
• Familiar with data visualization tools, such as D3.js and ggplot
• Excellent SQL skills
• Experience with ETL processes and capabilities
• High level of applied statistics skills, such as distributions, statistical testing, and regression
• Solid scripting and programming skills in SQL, Python, C#, or Java
• Data-oriented personality
• Self-driven, curious, and creative

Additional skills and knowledge

• Previous experience with financial services or financial service product delivery a plus
• PhD in statistics, machine learning, computer science, or the natural sciences, especially physics or any engineering