57 applicants

Company

Original Job Post

BARK · 1 week ago

Lead Data Scientist

Remote

Full-time

Remote

Senior Level

$156K/yr - $187K/yr

4+ years exp

Wonder how qualified you are to the job?

Consumer GoodsE-Commerce

H1B Sponsorship

Insider Connection @BARK

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Marketing Analytics: Apply machine learning and statistical methods to drive targeted marketing campaigns, improving customer engagement and ROI.

Improve Key Metrics: Apply data-driven approaches to create recommendations aimed at improving key performance metrics such as retention, campaign and funnel conversion, new subscribers, customer lifetime value, and more.

AI/NLP: Drive innovation through the use of AI and mining of our unstructured data for insights.

Communicate Results: Proactively and clearly communicate results and insights to relevant stakeholders, translating complex data into actionable business strategies.

Collaborate And Mentor: Work and coordinate closely with peers, mentoring them in applying data science methodologies. Engage in cross-team collaborations to align data science initiatives with organizational goals.

Stay Current & Innovate: Keep abreast of emerging technologies and methodologies in data science, continually seeking opportunities for innovation and improvement within BARK's data-driven strategies.

Analyze Data: Analyze and manipulate raw data to extract insights and drive decision-making. Utilize statistical analysis and machine learning techniques to uncover patterns and trends.

Create Pipelines & Tools: Design and implement data processing pipelines, visualizations, and internal tools for comprehensive analysis.

Production: Responsible for bringing models into production and monitoring their performance.

Qualification

Machine LearningPython ProgrammingData HandlingIndustry ExperienceCommunication SkillsInterpersonal SkillsAdaptabilityAttention to DetailBusiness AcumenStatistical AnalysisMachine Learning ExpertiseSQL MasteryStreaming/Real timeAILinux/Bash Skills

Required

Experience in applying machine learning algorithms and statistical concepts to real-world problems, generating insights, and creating actionable recommendations. Knowledge of various supervised and unsupervised learning techniques is essential.

4+ years of hands-on experience writing readable, modular Python code. Proficiency in data manipulation, analysis, and algorithm development is required.

Proven ability to handle varied and complex data, including experience working with large datasets, data cleaning, preprocessing, and transformation.

Experience in data-driven marketing, forecasting, or product development is essential. Cross-functional work experience preferred.

Excellent written, verbal and presentation skills, with the ability to clearly and concisely communicate results and concepts to relevant stakeholders, including c-suite partners.

Collaboration and teamwork, comfortable leading projects, coordinating peers and mentoring those around you.

Demonstrated aptitude and appetite for picking up new technologies and methodologies, adapting to changing business needs.

Sharp analytical mind with meticulous attention to detail and understanding of nuance.

Passion for growing and strengthening a business using data-driven approaches, with an understanding of key performance metrics.

Breadth of knowledge in statistical concepts and techniques, with the ability to apply them in diverse contexts.

Familiarity with popular python-based machine learning frameworks and libraries such as scikit-learn, xgboost, and PyTorch.

Ability to write complex SQL queries and perform data manipulation across multiple data sources. Redshift and BigQuery experience is a plus.

Moderate grasp of bash/Linux, including scripting and system operations.

Advanced degree in machine learning, computer science, mathematics or a related field.

Preferred

Familiarity with LLM models, embedding techniques and information retrieval strategies.

Experience with online learning, streaming and low latency inference is a bonus.

Benefits

Health insurance for both you and your pup

401k

Unlimited PTO

Cold brew on tap

A dog to pet anytime you wish

Company

BARK

Glassdoor

3.0

Bark is the company behind BarkBox, a subscription-based e-commerce and content company for dog lovers. It is a sub-organization of BarkBox.

Founded in 2012

New York, New York, USA

501-1,000 employees

http://bark.co

H1B Sponsorship

BARK has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (1)

2022 (10)

2021 (8)

2020 (5)