Analytics Sales & Marketing

About the Role

Key Responsibilities

• Apply data science, machine learning, and AI to decrease costs and improve decision-making.
• Collaborate with business partners to understand needs, formulate objectives, and implement actionable solutions.
• Perform statistical analysis and data visualization to explore data and identify patterns.
• Develop models to monitor key performance indicators across different segments.
• Build optimization models predictive of profit throughout the product life cycle.

Requirements

• 2+ years of experience in DevOps/MLOps and machine learning pipelines.
• 3+ years of Python coding experience.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
• Strong experience with AWS or GCP cloud environments.
• Passion for automation and working with large-scale data (e.g., Apache Spark, Snowflake, Databricks).

Nice to Have

• Familiarity with Pytorch, Tensorflow, Sklearn, XGBoost.
• Knowledge of time series analytics, text-processing, NLP, and analytical techniques applied to language.
• Experience with Large Language Models and programmatic uses.
• Skills in Pythonic dashboarding or web-application frameworks (e.g., Streamlit, Dash, Flask, Django).

Qualifications

• Educational background with a Bachelor's or Master's degree in relevant fields or equivalent experience.

Benefits & Perks

• Medical (HSA & FSA), dental, vision, 401(k) with company match, employee stock purchase plan, commuter benefits, in-house wellness program, broad learning & development opportunities, charitable giving platform with company match.
• Perks including fitness allowance, employee discount programs, free games & events, and stocked pantries.
• Competitive salary range in New York City, with potential bonuses and equity awards.
• Paid holidays, vacation, sick days, parental and passionate leave, mental health and wellness support, family planning support, and reimbursements for fitness-related expenses.