Remote Data Visualization Jobs in Rochester, NY (NOW HIRING)

Job Description

About Constellation Brands

If you have taken a moment to toast with a glass of wine, celebrate with a cocktail, or relax with a bottle of beer, chances are that you've shared that moment with us. For more than 75 years, we've led the beer, wine, and spirits industry by building admired brands that delight our consumers. Our portfolio balances iconic brands, such as Corona and Modelo, with exciting gems, such as Prisoner Wine Company and High West.

About the Position

This role is required to be on-site in Rochester, NY. Interviews will take place on-site.

The Data Scientist is responsible for analyzing complex datasets to identify insights, develop predictive models, and implement machine learning algorithms that drive strategic decision-making. With 2-8 years of experience, candidates should have proficiency in Python, R, SQL, and experience with data visualization tools and cloud technologies. This role requires an ability to work independently on projects, collaborate with cross-functional teams, and effectively communicate findings to stakeholders. The Data Scientist will contribute to various phases of the data science lifecycle, from data preparation to model deployment, ensuring the delivery of impactful data-driven solutions.

This role is on a data science team which focuses on understanding consumer behavior, consumption trends, drivers to growth, and the impacts of macroeconomics, marketing, and price on our brands.

Responsibilities

• Works independently on assigned projects, delivering insights and solutions that meet internal customer needs.
• Participates in technical strategy and provides insights into problem-solving efforts using statistical analysis and machine learning models.
• Assists in engaging with stakeholders under guidance, helping to understand their key challenges, and collaboratively working towards data-driven solutions.
• Presents analytical and model results in a clear and effective manner, enabling stakeholders to make informed decisions, with the ability to tailor communications to varying levels of technical understanding.

• Executes on technical tasks and projects with minimal oversight.
• Conducts exploratory data analytics to understand new and existing datasets.
• Engages in feature engineering and applies multiple modeling techniques to address business problems, demonstrating an ability to choose the appropriate model based on the problem at hand.

• Takes ownership of assigned tasks ensuring accuracy and timely delivery.
• Seeks to understand internal customer needs and technical requirements.

• Collaborates effectively with team members and participates in cross-functional interactions.
• Shares knowledge and best practices with peers.

• Contributes positively to the team environment and engages in continuous learning.

Domain Expertise:

• Bachelor's or Master's degree (Master's preferred) in Statistics, Computer Science, Mathematics, Science, or a related field with 2-8 years of relevant experience
• Proficient with Python, R, SQL, and GitHub, with a track record of manipulating data for analytics.
• Demonstrated experience in statistical analysis, machine learning models, and data visualization using tools like Matplotlib, ggplot, Tableau, or PowerBI.

About the Employee Experience

• Product Allowance so you can kick back and relax with Constellation's awesome products.
• Summer hours where we have half days on Fridays
• Tuition Reimbursement up to $10,000/year so you can continue feeding your brain
• Ongoing learning opportunities, development experiences, and mentorship programs
• Occasional team building meetups
• 160 hours of PTO with 13 paid holidays
• Life/Work Balance? We're all about it. We offer much more than just health care benefits. Our innovative programs and resources are designed to support physical, mental, and emotional well-being for you and your family.

Physical Requirements/Work Environment

• Sitting, working at desk/personal computer for extended periods of time
• Must be at least 21 years of age

Location

Additional Locations

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Job Area

The salary range for this role is:

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. Our compensation is based on cost of labor. For remote locations or positions open to multiple locations, the pay range may reflect several US geographic markets, including the lowest geographic market minimum to the highest geographic market maximum. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but not limited to, the prevailing minimum wage for the location, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. At Constellation Brands, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Equal Opportunity

Constellation Brands is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with Constellation Brands, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin or citizenship, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations).