Data Scientist (Remote Possible)

Job Description For this opening we will consider candidates from the following locations: OMAHA,NE,US |

Intrado’s Customer Insight and Business Intelligence Group is seeking a highly quantitative, driven, and collaborative Data Scientist to join our team preferably in our Omaha, NE office or for the right candidate, a 100% remote work environment will be considered.  This role will support a fast-growing segment within Intrado which is actively transforming to cloud-based technologies.  The core focus of this role is to transform the relationships with our clients/customers by co-creating value through consultative services and advanced predictive/prescriptive analytics.  This is a unique role that will focus on your knowledge of data infrastructure and your ability to drive insights.  This role requires a combination of technical data skills, business acumen, and the ability to build cross-functional relationships.  The ideal candidate will possess:

• Passion for driving analytic insights to customers that optimize customer experience
• Ability to work in a fast-paced environment
• Be collaborative across departments with both technical and non-technical team members to push analytic insights into action
• Willing to think outside the box with a passion for technology to drive a new generation of data analytics and machine learning
• Self-motivated to proactively innovate and iterate new solutions into use
• Strong communication skills, verbal and written

Additionally, responsibilities include:

• Understand Key Performance Measures that drive business performance and customer experience
• Foster a culture of data-driven decision making that focuses on the customer experience
• Provide value to clients through advanced actionable analytics and data driven solutions
• Mining data for insights, apply predictive modeling, machine learning and data science solutions to enhance client’s business/portfolio performance
• Apply CRISP-DM across all analytics exercises.
• Apply Six-Sigma methodology to analytics exercises and their implementations
• Assess, maintain, and drive continuous improvement for all completed analytics exercises/models
• Prepare reports and documentation surrounding projects
• Actively participate with other team members in an Agile development environment

Education:

• Bachelor’s degree from an accredited college or university with major course work in Data Science, Operations Research, Mathematics, Statistics, Computer Science, MIS, or a related field is required.
• Equivalent work experience in a similar position may be substituted for educational requirements

Qualifications:

• 3+ years’ experience with code development and performing data analysis (predictive analytics, machine learning, operations research) to support business needs
• Excellent written and verbal communication skills which contribute to a strong, collaborative team-oriented environment

Technical:

• 3+ years’ experience in data access and manipulation SQL, Relational Databases (PostgreSQL),
• 3+ years’ experience with statistical tools (GCP AI Platform, Jupyter Notebooks, AutoML, Pandas, Spark MLlib, R, SciPy, etc.)
• 3 years’ experience with Data Mining, Predictive Modeling, Machine Learning, AI (Regression, ANN, Decision Trees, Clustering), Text Mining, Sentiment Analysis, Forecasting, Simulation, Optimization, Experimental Design
• 1 year experience with data visualization tools such as Looker, Data Studio,Tableau, Power BI, etc.
• Experience with the Google Cloud Platform (GCP) preferred
• Experience with semi-structured JSON data and non-relational databases (ex. Mongo DB) preferred
• Languages: Python, R, PySpark, TensorFlow

Qualifications:

Intrado's Customer Insight and Business Intelligence Group is seeking a highly quantitative, driven, and collaborative Data Scientist to join our team preferably in our Omaha, NE office or for the right candidate, a 100% remote work environment will be considered. This role will support a fast-growing segment within Intrado which is actively transforming to cloud-based technologies. The core focus of this role is to transform the relationships with our clients/customers by co-creating value through consultative services and advanced predictive/prescriptive analytics. This is a unique role that will focus on your knowledge of data infrastructure and your ability to drive insights. This role requires a combination of technical data skills, business acumen, and the ability to build cross-functional relationships. The ideal candidate will possess: * Passion for driving analytic insights to customers that optimize customer experience * Ability to work in a fast-paced environment * Be collaborative across departments with both technical and non-technical team members to push analytic insights into action * Willing to think outside the box with a passion for technology to drive a new generation of data analytics and machine learning * Self-motivated to proactively innovate and iterate new solutions into use * Strong communication skills, verbal and written, * Bachelor's degree from an accredited college or university with major course work in Data Science, Operations Research, Mathematics, Statistics, Computer Science, MIS, or a related field is required. * Equivalent work experience in a similar position may be substituted for educational requirements Qualifications: * 3+ years' experience with code development and performing data analysis (predictive analytics, machine learning, operations research) to support business needs * Excellent written and verbal communication skills which contribute to a strong, collaborative team-oriented environment Technical: * 3+ years' experience in data access and manipulation SQL, Relational Databases (PostgreSQL), * 3+ years' experience with statistical tools (GCP AI Platform, Jupyter Notebooks, AutoML, Pandas, Spark MLlib, R, SciPy, etc.) * 3 years' experience with Data Mining, Predictive Modeling, Machine Learning, AI (Regression, ANN, Decision Trees, Clustering), Text Mining, Sentiment Analysis, Forecasting, Simulation, Optimization, Experimental Design * 1 year experience with data visualization tools such as Looker, Data Studio,Tableau, Power BI, etc. * Experience with the Google Cloud Platform (GCP) preferred * Experience with semi-structured JSON data and non-relational databases (ex. Mongo DB) preferred * Languages: Python, R, PySpark, TensorFlow