Lead Data Scientist

Portland, TX - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Lead Data Scientist
Location: Portland OR (Highly preferred but REMOTE is also fine)
Duration: Long Term

Interview Mode: Hands on Interview on SQL and Python.

If this is you you will be part of an Advanced Analytics In Season Optimization squad. We deliver scalable solutions to power data driven automated decision making on a variety of problems such as pricing product allocation and other related key business decisions. Specifically you will:

Develop new sophisticated algorithms and improve existing approaches based on statistical/econometric methods machine learning techniques and big data solutions to forecast consumer demand and determine optimal level of investment in various stages of the supply chain.
Identify and apply methods to acquire explore cleanse and fuse data from different sources.
Design write own and maintain production grade analytics code to support forecasting and/or optimization models. Review and ensure code quality of peers.
Assess business requirements and constraints to make trade-off recommendations between speed and accuracy of alternative solution approaches.
Be a key contributor to building scoring deploying monitoring updating and promoting central forecasting platform.
Facilitate the planning scheduling and value measurement of the work to meet timeline targets and success criteria.
Support the adoption of analytic products through effective storytelling and collaboration with key partners.
Participate in a continuous learning environment within the advanced analytics community through persistent development of new skills and sharing of knowledge through mentorships and contributions to the open source community.
You will work with the Director of Data Science while partnering daily with fellow data scientists data analysts engineers and product owner on your squad. You will collaborate across the broader organization with business teams in Demand and Supply Management as well as other data analytics and technology functions.

What you bring

Advanced quantitative degree (Statistics Mathematics Economics Computer Science or related field) and at least 5 years of related industry experience or Bachelors degree and 7-12 years related industry experience.
Demonstrated expertise with data science methods machine learning algorithms and production level programming principles.
Working knowledge of forecasting techniques such as surveys trend analysis econometric models and machine learning algorithms.
Advanced skills in programming languages (particularly Python Pandas and SQL) and ability to apply them to develop build and maintain production grade analytics software.
Knowledge and experience with demand forecast models and algorithms highly desired. Experience solving retail business problems is a plus.
Demonstrated ability to apply programming skills to data acquisition preprocessing modeling and monitoring as well as familiarity with the wide range of data science/analytics software tools.
Experience with common data science/analytics software tools (e.g. Jupyter Notebook SQL Spark Git) and cloud computing platforms (e.g. Amazon Web Services).
Experience in building training scoring tuning and maintaining predictive models in production at enterprise scale and familiarity with mainstream packages relevant to managing all stages of Data Science/Analytics lifecycle.

Thanks

Amaresh

Sr. Technical Recruiter

Momento USA Exceeding Customer Expectations

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Lead Data Scientist Location: Portland OR (Highly preferred but REMOTE is also fine) Duration: Long Term Interview Mode: Hands on Interview on SQL and Python. If this is you you will be part of an Advanced Analytics In Season Optimization squad. We deliver scalable solutions to power data driven...

Lead Data Scientist
Location: Portland OR (Highly preferred but REMOTE is also fine)
Duration: Long Term

Interview Mode: Hands on Interview on SQL and Python.

Develop new sophisticated algorithms and improve existing approaches based on statistical/econometric methods machine learning techniques and big data solutions to forecast consumer demand and determine optimal level of investment in various stages of the supply chain.
Identify and apply methods to acquire explore cleanse and fuse data from different sources.
Design write own and maintain production grade analytics code to support forecasting and/or optimization models. Review and ensure code quality of peers.
Assess business requirements and constraints to make trade-off recommendations between speed and accuracy of alternative solution approaches.
Be a key contributor to building scoring deploying monitoring updating and promoting central forecasting platform.
Facilitate the planning scheduling and value measurement of the work to meet timeline targets and success criteria.
Support the adoption of analytic products through effective storytelling and collaboration with key partners.
Participate in a continuous learning environment within the advanced analytics community through persistent development of new skills and sharing of knowledge through mentorships and contributions to the open source community.
You will work with the Director of Data Science while partnering daily with fellow data scientists data analysts engineers and product owner on your squad. You will collaborate across the broader organization with business teams in Demand and Supply Management as well as other data analytics and technology functions.

What you bring

Advanced quantitative degree (Statistics Mathematics Economics Computer Science or related field) and at least 5 years of related industry experience or Bachelors degree and 7-12 years related industry experience.
Demonstrated expertise with data science methods machine learning algorithms and production level programming principles.
Working knowledge of forecasting techniques such as surveys trend analysis econometric models and machine learning algorithms.
Advanced skills in programming languages (particularly Python Pandas and SQL) and ability to apply them to develop build and maintain production grade analytics software.
Knowledge and experience with demand forecast models and algorithms highly desired. Experience solving retail business problems is a plus.
Demonstrated ability to apply programming skills to data acquisition preprocessing modeling and monitoring as well as familiarity with the wide range of data science/analytics software tools.
Experience with common data science/analytics software tools (e.g. Jupyter Notebook SQL Spark Git) and cloud computing platforms (e.g. Amazon Web Services).
Experience in building training scoring tuning and maintaining predictive models in production at enterprise scale and familiarity with mainstream packages relevant to managing all stages of Data Science/Analytics lifecycle.