Data Science & Analytics Intern - Summer 2024
Company: Benjamin Moore & Co
Location: Montvale
Posted on: April 20, 2024
Job Description:
Data Science & Analytics Intern - Summer 2024
ID
2024-1432
Category
Financial, Planning & Analysis
Position Type
Temporary
Remote
No
Shift Time
40
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 queriesGenerate and test hypotheses using
appropriate econometric study designs and extract meaningful
evidence-based narratives from technical analysesProduce and
analyze comparative statistical reports to identify trends,
patterns, or fluctuations in key performance indicators (KPIs), and
recommends key ideas to senior managementBuilding 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
needsWillingness to learn and adapt to new tools, technologies, and
techniques in the rapidly evolving field of data science.Locating
and defining new process improvement opportunitiesAnalyzing 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
requiredSolid grasp of microeconomic/consumer theory, experimental
design, and sensitivity analysisStrong 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
expectationsCreating 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 PhilosophyAt 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 &
InclusionAt 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
ProgramBenjamin 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. EOEBenjamin 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.
Keywords: Benjamin Moore & Co, Tenafly , Data Science & Analytics Intern - Summer 2024, Other , Montvale, New Jersey
Didn't find what you're looking for? Search again!
Loading more jobs...