Sr Data Scientist at Personal Capital in Remote
Whether they're helping people reach their long-term financial goals or providing personal wealth management strategies, every associate contributes to changing the lives of those we serve for the better. When it comes to job satisfaction, that's hard to beat. And from a personal satisfaction perspective, you'll enjoy the freedom to support causes that matter to you and experience a truly inclusive work environment. Your future starts now. Role You will provide insights to business stakeholders in Marketing, Sales, Product, and Service, enabling them to make informed decisions. You will perform exploratory and detailed analysis of large data sets and present the analysis to stakeholders. You will maintain and create complex classifiers, predictive models and utilize other machine learning techniques, in collaboration with Data Engineers, Java Engineers, Business Analysts and business stakeholders to provide analysis and make recommendations. Candidate We are searching for someone innovative. Someone who can think outside of the box, understand our financial services business, and advocate visionary and new ideas. Further, the ideal candidate will be self-motivated, work well autonomously as well as with others, possess solid critical thinking skills, hold the ability to synthesize complex problems and develop programs to apply data science concepts to improve business efficiencies. Excellent written and speaking communication skills are required to work successfully in a collaborative cross-functional environment and interact with the full spectrum of business divisions. Qualifications 5
years of professional experience as a data scientist A Bachelor/Master of Science degree in Computer Science, Operations Research, Statistics, or another quantitative discipline. A Master/PhD's degree is an added bonus. Experience with statistics and/or applied math as the basis for selecting appropriate models and experiments. Experience with data science projects from end to end, starting with problem formulation to model development in production. Experience utilizing conventional machine learning and deep learning libraries, in particular scikit-learn and keras. Experience developing data pipelines and feature engineering in Python, R or other equivalent programming languages. Experience working with large sets of data stored in a variety of storage platforms such as traditional Data Warehouse, Data Lake, and NoSQL. Experience mentoring Data Scientists Demonstrated ability to collaborate with stakeholders, understand requirements and translate them into solvable problems via Data Science/Machine Learning Experience with all phases of software development life cycle. Familiarity with machine learning techniques and classification algorithms. Familiarity with distributed computing and Big Data technologies, including map/reduce ecosystem (Hadoop, Spark, PySpark, HDFS, Hive) Strong programming experience in at least one programming language, preferably Python.
Salary Range:
$100K -- $200K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
years of professional experience as a data scientist A Bachelor/Master of Science degree in Computer Science, Operations Research, Statistics, or another quantitative discipline. A Master/PhD's degree is an added bonus. Experience with statistics and/or applied math as the basis for selecting appropriate models and experiments. Experience with data science projects from end to end, starting with problem formulation to model development in production. Experience utilizing conventional machine learning and deep learning libraries, in particular scikit-learn and keras. Experience developing data pipelines and feature engineering in Python, R or other equivalent programming languages. Experience working with large sets of data stored in a variety of storage platforms such as traditional Data Warehouse, Data Lake, and NoSQL. Experience mentoring Data Scientists Demonstrated ability to collaborate with stakeholders, understand requirements and translate them into solvable problems via Data Science/Machine Learning Experience with all phases of software development life cycle. Familiarity with machine learning techniques and classification algorithms. Familiarity with distributed computing and Big Data technologies, including map/reduce ecosystem (Hadoop, Spark, PySpark, HDFS, Hive) Strong programming experience in at least one programming language, preferably Python.
Salary Range:
$100K -- $200K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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