Data Scientist

Job title: Data Scientist

Company: Enterprise Solutions

Job description: Skills: Problem formulation, theoretical knowledge of math and statistics, mentoring lots of people / building a program to manage and educate younger analysts in our process and techniques, communication skills – answering technical questions confidently and succinctly, consulting experience, theoretical knowledge of math and statistics, willingness to learn and be molded in our process, aptitude for communication, aptitude for business and industry verticals, business experience, vertical experience, broad programming background, ability to mentor small groups.

Job Summary: A data scientist is responsible for data mining, building predictive models, & driving the construction of data products. Our Data Science focus surrounds core retail areas including planning, merchandising, inventory management & supply chain business areas.

This position will work closely with other Data Science team members to collect, model, analyze & provide insight on core data sets. This position will work closely with our business partners ensuring solutions meet business objectives and provide high contextual value.

Responsibilities: Work with data engineers to build mineable datasets, execute data mining activities providing insight from datasets, build accurate predictive models driving decision making, work with business owners to understand context with in datasets, deliver insight to leadership, helping drive strategic business decisions, hypothesize, experiment & drive insight by any means necessary, drive innovation by evaluating business processes and identifying data science solutions.

Required Skills:

BS or MS (preferred) in a quantitative field such as Computer Science, Quantitative Finance, Math, Statistics, Physics or a related Engineering degree.

7+ years experience in building models and developing algorithms for machine learning, statistics, mathematical programming, and simulation in industry

7+ years experience in managing and analyzing large-scale structured and unstructured data using Python.

7+ years experience in SQL in big data environments and data modeling.

Experience with Machine Learning, Statistics, data analysis tools and techniques.

Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering and regression analysis.

Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr.

Experience with machine learning libraries and packages such as TensorFlow, Keras or PyTorch.

Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2.

Experience writing testable code and shipping code into production.

Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

Experience using version control tools such as git

Experience with cloud technology such as GCP, AWS or Azure

Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences

Direct experience analyzing A/B experiments

Proven ability to convey rigorous technical concepts and considerations to non-experts

Expected salary:

Location: Alaska

Job date: Fri, 09 Apr 2021 22:36:44 GMT


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