We need a curious, analytical Data Scientist to join our team to help us develop business growth insights from all this data. You will have the opportunity to analyze large datasets in a collaborative team work environment providing daily challenges and ongoing learning.
Hallmark’s Data Scientist perform data analyses to derive insight, patterns and correlations from Hallmark’s big data that includes vast amounts of consumer data, store data, product sales data, and other relevant data. You will develop predictive and prescriptive algorithms and conduct data analyses to drive business growth and impact strategic business decisions. You will work in a team environment alongside a group of expert mathematicians, statisticians and data scientists.
Our Perfect Data Scientist Candidate
Will be naturally curious, a critical thinker.
Will have a background in conducting analysis and developing algorithms for consumers and/or stores from a consumer packaged goods (CPG) company or retailer.
Is a quick learner with strong initiative who can hit the ground running and bring robust problem-solving skills to Hallmark.
Is an analytic trailblazer who can mentor and teach to help enhance, build, and grow Hallmark’s analytic capabilities.
is flexible, has strong initiative and is highly collaborative
The Data Scientist
influences business decisions through advanced statistical techniques and concepts.
uses predictive modeling, data mining, segmentation and other statistical analyses to optimize Hallmark revenue and retail sales performance.
recommends, designs, and evaluates tests to help drive business growth and impact strategic decisions.
works collaboratively across the organization to understand their need and challenges providing thought leadership and perspective around appropriate statistical analyses to address those issues.
is an advocate for implementing analytic best practices and identifying opportunities to improve decision making.
You must show how you meet the basic qualifications (listed below) in a resume or document you upload, or by completing the work experience and education application fields. Accepted file types are Microsoft Word (DOC or DOCX), PDF, HTML, or TXT.
In compliance with the Immigration Reform and Control Act of 1986, Hallmark Cards, Inc. and its subsidiary companies will hire only individuals lawfully authorized to work in the United States. Hallmark does not generally provide sponsorship for employment. Employment by Hallmark is contingent upon the signing of the Employment Agreement, signing of an agreement to arbitrate in connection with the Hallmark Dispute Resolution Program, completing Form I-9 Employment Eligibility Verification, passing the urinalysis drug screen, education verification and satisfactory reference and background checks.
Bachelors or Master’s degree in Statistics, Physics, Math, Engineering, Economics, Finance, Data Science, Computer Science, Operations Research or a quantitative field
3+ years of experience in advanced analytics, data science and statistical modeling (including predictive algorithms, machine learning, sequential/time-series, deep learning, forecasting, experimentation, and NLP)
Master’s or PhD in Statistics, Physics, Math, Engineering, Economics, Finance, Data Science, Computer Science, or Operations Research
3+ years of business experience in data mining, advanced analytics, and statistical modeling
Experience deriving insight and working with Big Data –structured and unstructured
Demonstrated ability to derive explanatory variables from high-dimensionality collections of data: social, click-stream, SKU-level sales, digital marketing, weather, economic
Proven ability to assess the situation quickly, including identifying and resolving data anomalies and inconsistencies, and develop practical problem-solving strategies.
Strong intellectual curiosity and love of problem-solving with a passion for getting involved to drive action for direct impact on business outcomes.
Strong communication skills – written, verbal, and presentation
Proven ability to communicate the key messages and develop a storyline from analytical project work to a non-technical audience.
Experience with SAS, R, Python, Tableau, SQL, Hadoop, Spark
Experience with advanced statistical analyses such as Regression, ANOVA, Analysis of Covariance, Repeated Measures, Decision Trees, Time Series, and Clustering.
Experience with Applied Predictive Technologies (APT) software.
Experience with Data Visualization software such as Tableau.
Strong Microsoft Office skills in Word, Excel, PowerPoint
Experience with a consumer packaged goods (CPG) company or retailer
Level of experience (years):
Mid Career (2+ years of experience)