Data Science & Analytics Intern - Summer 2024

ID 2024-1432
Category
Financial, Planning & Analysis
Position Type
Corp Hourly
Remote
No
Shift Time
19
Location
Montvale, NJ

Overview

At Benjamin Moore, we empower our team members to achieve their goals and make a positive impact in our communities. We offer a rewarding and inspiring work environment that fosters creativity, collaboration, and a strong sense of camaraderie. Our culture of excellence and transparency encourages our colleagues to bring their authentic selves and unique perspectives/ideas every day. With 140 years of rich history behind our brand, we know that our people are the driving force behind our success. We believe in investing in our colleagues by offering work-life balance, competitive/ benefits, ongoing learning/continuing education, and skill development. Through a positive and engaging workplace, we facilitate growth, development, and fulfillment for all.  

Join us and be a part of a brand that inspires creativity, innovation, and passion in support of locally-owned stores around the world.

 

Click here to see how you can paint your future!

 

This is a unique opportunity to gain broad experience, have significant responsibility for a variety of projects and engage with key decision makers. The Data Science Intern is responsible for conducting quantitative analytics and mathematical modeling projects that support strategic and operational priorities. The role will assist the team with translating these business challenges into data pipelines & model framework. The role will work closely with our data analytics team to ideate and contribute to models along with aiding with documentation.

 

Reporting Structure

 

The Data Science Intern will report to the Data Analytics Lead as a part of Financial Planning and Analysis.

Responsibilities

  • Perform quantitative research in the business-related field and other thematic areas. Research includes data mining, model building/maintenance, and developing reports to answer data-related queries
  • Generate and test hypotheses using appropriate econometric study designs and extract meaningful evidence-based narratives from technical analyses
  • Produce and analyze comparative statistical reports to identify trends, patterns, or fluctuations in key performance indicators (KPIs), and recommends key ideas to senior management
  • Building predictive models or machine learning models based on the data. This includes selecting appropriate algorithms, training models, and evaluating their performance.
  • Assessing the performance of the models using metrics such as accuracy, precision, recall, F1-score and model tuning to improve performance.
  • Cleansing and preprocessing raw data to make it usable for analysis. This involves handling missing values, removing duplicates, and standardizing formats.
  • Collaborate with management to prioritize Business and information needs
  • Willingness to learn and adapt to new tools, technologies, and techniques in the rapidly evolving field of data science.
  • Locating and defining new process improvement opportunities
  • Analyzing data to answer questions, identify trends, and find compelling stories within.

Qualifications

  • Working towards degree in BA/BS and MS in Economics or Statistics, or other quantitative discipline required
  • Solid grasp of microeconomic/consumer theory, experimental design, and sensitivity analysis
  • Strong technical skills: Programming tools (i.e., R, Python); Cloud Software (Azure ML, Google Analytics, Snowflake); data visualization tools (i.e., Tableau, Qlik Sense); data querying tools (i.e., SQL),
  • Familiarity with data science libraries and tools such as scikit-learn, TensorFlow, or PyTorch for machine learning, and Jupyter Notebook or RStudio for data analysis.
  • Ability to clean, preprocess, and manipulate data using libraries like pandas in Python or dplyr in R.
  • Establishes and maintains effective relationships with internal business stakeholders by fully understanding and meeting their expectations
  • Creating visualizations (e.g., plots, charts, dashboards) to communicate findings and insights effectively to stakeholders.
  • Documenting analysis, findings, and recommendations in a clear and concise manner. This may involve drafting reports or creating presentations.
  • Excellent written and verbal communication skills with high degree of accuracy and attention to detail

 

Compensation Philosophy

At Benjamin Moore, our brand represents excellence, and we strive to provide a comprehensive total rewards package to match. In addition to competitive base salary, every exempt and non-exempt role in our organization is eligible for a performance-based annual raise and bonus in recognition of their efforts that contribute to the success of our organization. We conduct regular pay audits, using both external market data and internal comparisons to ensure that our employees are compensated fairly and equitably. During our annual compensation review, we implement merit, equity, and promotion increases after a full calibration across all roles. We believe that benefits should connect you to the support you need when it matters most. In addition to our monetary compensation package, Benjamin Moore provides a full range of benefits that are personalized to help support you physically, financially, and emotionally, both through the big milestones and in your everyday life.  

 

Diversity, Equity & Inclusion

At Benjamin Moore, we believe diversity of culture, talent, and varying perspectives is key to a collaborative, innovative, and successful business. We are committed to driving change within our organization through purposeful Diversity, Equity & Inclusion (DE&I) efforts, while also focusing on our customers and communities in which we serve.  Our DE&I efforts allow each of us to authentically live our corporate values of Openness, Integrity, Community, Excellence and Safety. Our Social Impact programming of strategic local and national partnerships, in-kind donations, volunteerism, and more expands our ability to make a difference in the lives of all of our stakeholders. We hope you will join us and become an advocate for diversity and inclusion here at Benjamin Moore.

At Benjamin Moore & Co, we don’t just accept difference — we celebrate it, we support it, and we thrive because it benefits our employees, our products, and our community. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Benjamin Moore is proud to be an equal opportunity employer.

 

Student Loan Repayment Assistance Program

Benjamin Moore provides Student Loan Repayment Assistance Program to support eligible active employees who graduated from an accredited post-secondary educational institution. The Repayment Program is intended to contribute to reducing employee’s student loans. The Company follows all rules and regulations concerning the taxability of student loan repayments provided under applicable law.

 

EOE

Benjamin Moore & Co. is an equal-opportunity employer that is committed to a culture of inclusion and diversity. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. Our commitment to these principles means all employment decisions are made based on qualifications, merit, and business need.

 

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