GUARDIAN DATA SCIENTIST SOFTWARE
GUARDIAN DATA SCIENTIST CRACK

Consistent accuracy and thoroughness in performing work assignments.Ensure data accuracy and consistent reporting by designing and reporting.

Present information using data visualization techniques communicate results and ideas to key decision makers.Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.Propose innovative ways to look at problems through using data mining and data visualization.Implement new statistical or other mathematical methodologies as needed for specific models or analysis.Build predictive models and machine-learning algorithms combine models through ensemble modeling.Analyze large, complex datasets to extract insights and decide on the appropriate techniques to uncover patterns and trends.

GUARDIAN DATA SCIENTIST SOFTWARE

You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.

GUARDIAN DATA SCIENTIST CRACK

You enjoy collaborating with other Data Scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. Passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. Successful candidates have strong technical foundation, excel in coding, detail oriented, and have passion for analytical thinking and problem solving. You'll collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups. In this role as Data Scientist, you'll be working in a team of Data Scientists led by Lead Data Scientist to develop advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. Our solutions and actions are critical to Guardian’s revenue growth, risk management and customer experience. We are a team of data analysts, data product owners, data engineers, data scientists and most importantly, data business leaders. Key responsibilities include data lifecycle management, insight development, and data product delivery. Our core activities encompass creating business value from our data and analytic products. Guardian’s EDAO spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. We have a newly created Data Scientist role presenting a distinctive opportunity to be part of Data Science Center of Excellence within EDAO, actively contributing to Guardian’s ongoing evolution. We've recently onboarded a Chief Data & Analytics Officer (CDAO) to guide this transformation and lead the Enterprise Data and Analytic Office (EDAO). See user submitted job responsibilities for Data Scientist II.Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. To be a Data Scientist II typically requires 2 -4 years of related experience. Gaining exposure to some of the complex tasks within the job function. The Data Scientist II occasionally directed in several aspects of the work. Typically requires a master's degree in computer science, mathematics, engineering or equivalent. Additionally, Data Scientist II designs, develops, and implements the most valuable data-driven solutions for the organization. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Being a Data Scientist II interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases.

Data Scientist II identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights.

Guardian data scientist