Sr Applied Data Scientist
United Kingdom - London
Applications have closed
Aptos
Unify your omnichannel experience and enterprise with Aptos' leading solutions. See why the world's top retailers trust Aptos ONE, POS, Merchandising and more.Making a job change is a big decision. Why consider Aptos?
You will join a team of remarkable colleagues who are committed and passionate about creating and delivering leading edge solutions for the retail market. You will be part of an exciting growth journey where we will do everything possible to help you reach and exceed your career dreams. Our colleagues have access to industry leading training and development opportunities, and the chance to work in a global, diverse culture with offices in 13 countries. You will be part of an inclusive culture that is grounded in our Company's purpose: to make a difference for every colleague, every client, every day.
We have years of deep retail DNA, Aptos has been a market-leading platform that drives the world’s largest retailers’ product, promotion, commerce and merchandising decisions across online and brick-and-mortar operations. The opportunity at Aptos has never been greater, as we transition our solutions to cloud-native, microservices architecture. More than 135,000 retail locations impact nearly $2.5 trillion in annual revenue across fashion, grocery, drug, convenience, general merchandise, discount and sporting goods stores optimized with Aptos’ solutions. We hope you’ll be a part of taking to market the frontrunner in Unified Commerce.
Overview:
Revionics has an immediate opening in our Science Services team for an Applied Data Scientist.
This individual will work in a fast-paced environment as part of multi-disciplinary project teams to deliver analytical
services and data-driven insights to retailers. The successful candidate will bring a balance of creative problem
solving, hands-on data skills, and practical analytical skills to the organization. Strong communication skills and
experience in a related analytics role are required, and some experience working in the retail industry is desirable.
Roles & Responsibilities:
Learn and develop a solid understanding of Revionics’ demand modelling and optimization algorithms, and the core set of data science services which we provide to clients – and explain these to clients and
colleagues
Execute and deliver analytical services for customers, using sales data and Revionics’ AI/ML demand models. Typical outputs include data-driven recommendations for item or category level pricing strategies;
or providing analysis on Store Clustering or Promotion Performance
Perform forecast accuracy evaluations on-demand model outputs, and apply model tuning techniques to maximize model accuracy
Assist in Value Measurement analysis to demonstrate the value of our price optimization solution for existing customers
Help design and improve processes for automated evaluations of models on multiple datasets
Work with our Professional Services project implementation teams, especially Price Strategy Consultants,
in the delivery of data science services and sharing of analytical insight as part of client projects
Collaborate with other members of the data science teams to help improve our modelling capability
Develop new analytical services, leveraging our data science capability and demand models to provide solutions to retailers pricing challenges
Use a combination of tools including SQL, Google BigQuery, Python, Tableau, Looker and in-house software
Qualifications:
Strong quantitative, mathematical and analytical skills; and ability to understand statistical models (such as those used for demand forecasting)
Effective communication and presentation skills: ability to explain complex information to technical and non-technical audiences
Demonstrated problem-solving skills: ability to interpret data and diagnose issues using structured methods
Self-motivation to perform in a fast-paced environment; to deliver solutions with accuracy and speed
Experience working in relational databases (MS SQL Server, Oracle, or equivalent)
Experience creating and using analytic scripts to perform data analysis processes (e.g. using Python, R, SQL, Alteryx etc)
Data visualization skills (Tableau highly desired) and ability to display complex information in a simple and clear manner
Experience applying analytics in an industry (e.g., retail, financial, logistics, etc.)
Experience working in or with retail industry (especially merchandising or pricing roles), familiarity with retail sales data
Strong knowledge of statistical regression and modelling techniques (least squares, maximum likelihood,
Bayesian estimation.)
Demonstrated ability to learn new concepts fast
Proficiency with Python, JuPyter notebooks, SciPy, numPy
Strong proficiency with visualization tools and business intelligence applications (Tableau, Alteryx, etc.)
Familiarity with Classification and Clustering methods (K-means, Non-hierarchical, etc.)
Achieved advanced degree in Operations Research, Econometrics, Data Science, Mathematics, Physical
Sciences or similar quantitative discipline
Awareness of data load and ETL / Automation tools (Informatica, etc.)
Fluency in German, Spanish or other European languages
This position may require up to 25% travel, mostly to client sites across Europe.Preferred location
is London, but will consider other locations or remote workers in Europe.
#LI-TM1 #LI-HYBRID
We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.
Equal Employment Opportunity Statement
Aptos is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Bayesian BigQuery Business Intelligence Classification Clustering Data analysis Data visualization Econometrics ETL Informatica Jupyter Looker Machine Learning Mathematics Microservices MS SQL NumPy Oracle Python R RDBMS Research SciPy SQL Statistics Tableau
Perks/benefits: Career development Competitive pay
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