What are the responsibilities and job description for the Senior Data Scientist position at Retsci?

Job Description

Salary : About RetSci

We are passionate about making science easy and accessible to retailers, helping them get more value from people, data, and systems. We bring together expertise in retail, science, and scalable technologies to automate and enhance the quality of decision-making through software and consulting services.

Our retail knowledge and experience help us apply a wide range of statistical and quantitative analysis in practical and valuable ways. And our technical skills ensure we can navigate the largest and most complex data environments with the most relevant and up-to-date tools.

Join us, be passionate about your work, learn and have fun! www.retsci.com

About this role

At RetSci, the Senior Data Scientist is expected to lead the design and implementation of client projects, as well as drive the communication and interaction with customers. Primarily focused on projects that leverage Forecast as a Service (FaaS) technology, the expectation is that much of their time is focused on data engineering, feature set creation, training forecast models, forecast accuracy scorecards, and other analytical activities to support FaaS. This role will be reporting directly to the Data Science Director.

What you will do

Provide technical leadership on client projects
Lead data science team and stakeholders to address business challenges by harnessing structured, semi-structured, and unstructured data in a distributed processing environment
Develop requirements, design and implement / prototype data visualization tools for internal KPIs, dashboards, analytics tools, and client user interfaces.
Develop and / or configure templates, tools, and support best practices for the presentation of quantitative information to clients.
Train internal and client teams on the usage and communication of highly quantitative and analytical concepts / tools / solutions.
Present findings from analysis to the clients business and technical team, ie : communication of complex analysis using data visualization and business-friendly metrics and terminology.
Lead design workshops to clarify and document business requirements and constraints.
Translate business requirements to science and technical teams.
Management of client delivery or support projects
Building skills relevant to the development of retail analytics solutions and management of analytics teams and groups by taking on alternate roles and learning new processes and technologies.
Support the sales and delivery and ongoing success of client quantitative projects through the creation of templates, proposals, and case studies
QA of science development and test methodologies
Management of client delivery or support projects
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.
Designs, develops, and codes machine learning models and algorithms to solve retail science problems
Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
Prepare and deliver presentations that effectively describe complex quantitative methods in clear and concise communications
Keep up to date with technical as well as industry developments, analytics software / tools, trends, and recognized best practices
Work within project constraints funding, resources, schedule, priority, goals

We would love to hear from you if

You have a four-year college degree, in statistics, economics, physics, mathematics, operations research, computer science, data engineering, or a related field.

You have 4 years of related experience using data mining, data modeling, data integration, machine learning, statistical modeling, and other data science skills and techniques.

You have experience with Python and Jupyter notebooks working in a remote development environment.

You have worked in a distributed development environment leveraging Git and Jira.

You have strong analytical and problem-solving skills, attention to detail, critical thinking ability, and creativity.

You are able to abstract from ambiguous and sometimes conflicting information to identify opportunities for improvement and the critical business drivers and factors that influence outcomes.

Excellent written and verbal communication skills including reports and presentations.

A drive to learn and master new technologies and techniques.

Even better if

You have experience within the Retail industry.

5 years of working with retail customers supporting forecasts or inventory management.

You have a Masters or Ph.D. degree.

Experience working with Spark and Kubernetes on large datasets.

Experience with Tensorflow as a general modeling platform for large-scale problems.

Perks

In addition to joining a team of passionate retail experts, youll also get a ton of perks!

You get the choice to work on a Mac or a PC

An endless supply of snacks, coffee, and drinks.

On Wednesdays, we have a free team lunch.

Our office building has a complimentary gym with free classes. We also have a game room so we have the occasional table tennis competition!

Casual dress code, social events, and after-work.

Flexible, diverse work environment.

Respectful, innovative team.

But its not all about the fun. You get a competitive salary and a progressive bonus while getting a startup experience at a company with an awesome culture.

We also provide great medical insurance, 401K, and equity stock plans for all employees.

You get 21 days of PTO, major national holidays, and we take a company-wide vacation during the period from the 25th of December to January 1st!

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