Clari

Sunnyvale, CA
201-500 employees
Clari’s Revenue Operations Platform gives teams total visibility into their business to make their revenue process more connected, efficient, and predictable.

Senior Data Scientist

Senior Data Scientist

This job has closed but is shown for context on data science work at Clari.
Clari uses AI and automation to drive growth and retention for high-performing revenue teams. Clari’s market-leading Revenue Operations Platform is currently processing over $300 billion in pipeline each year, and is used by over 100,000 marketing, sales, and customer success professionals across 170 countries. Customers include market leaders like Adobe, Zoom, Qualtrics, UIPath, Okta, Workday, to name a few. We constantly hear from our customers that Clari is required equipment, and that we’ve changed their lives and the trajectory of their businesses. It never gets old, and we never take it for granted. Together, we help others realize their fullest potential by transforming their revenue operations to be connected, efficient, and predictable.

We are looking for talented Senior Data Scientists who are passionate about solving incredibly complex problems and delivering huge value to our customers. You’ll work with truly remarkable colleagues on highly diverse, complex problems at enterprise scale, quality, and reliability. You will be applying data analysis, statistical analysis, algorithm, and machine learning tasks to derive meaningful results in sales and other problem space domains. The ideal candidate will have a deep knowledge of machine learning and data mining techniques along with practical applications of academic research for large-scale data analysis. You will be implementing novel algorithms and integrating them with production services for use within our cloud-based infrastructure. The products you build will be used by many of the most well-known companies in the world. Don’t believe us? Hear what our customers have to say 

Come join this fluid, dynamic, and growing team to learn, teach and make a big, measurable impact every day. We work in an open, collaborative environment and seek exceptional Data Scientists who enjoy problem-solving and delivering data insights.

Responsibilities

    • Work with the product team to understand key high-value problems in the enterprise sales productivity domain that can be solved by applying data science
    • Evaluate various machine learning algorithms for accuracy and value for specific analytics problems
    • Identify and develop algorithms for feature extraction and feature engineering from multiple signal sources
    • Apply and implement machine learning techniques for solving new classes of problems
    • Learn and contribute to all aspects of the data science platform
    • Write scalable, robust, and fully-tested software for deployment in mission-critical production environments.
    • Own modules of Data Science components that you work in

Requirements

    • 6+ years of data science experience solving analytical problems using data-driven and quantitative approaches.
    • 4+ years of background in AI, Machine Learning, and Data Science
    • Familiarity with algorithm scaling, complexity, and parallelization techniques for addressing large data volumes using Hadoop, Spark, etc.
    • Keen sense of statistics, error rates, familiarity with statistical fitness evaluations
    • Ability to communicate technical findings based on complex quantitative analysis in a clear, precise, and actionable manner
    • Strong knowledge of Python, Scala, and frameworks such as TensorFlow, PyTorch, or Keras
    • Knowledge of SQL (e.g. Postgres, MySQL) and NoSQL databases (e.g. MongoDB)
    • Knowledge of analysis tools and packages such as NumPy and SciPy
    • A passion for answering questions from analysis of data
    • Experience working with and building enterprise-scale ML and data platforms is a plus
    • Experience with multi-threading, replication, etc. concepts in cloud applications is a plus
    • Experience working with streaming frameworks such as Kafka, Kinesis is a plus
    • Experience managing the model lifecycle with tools like SageMaker or MLflow is a plus

Benefits and Culture

    • Team-bonding activities and company-wide events
    • Flexible working hours and remote opportunities
    • Internet, phone, and wellness reimbursements
    • Paid maternity and paternity leave
    • Fertility support
    • 401(k) and college savings plan
    • Pre-IPO stock options
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You’ll often hear our CEO talk about “Being Remarkable.” To Clari, remarkable means many things. First and foremost, we believe in providing work that’s interesting and meaningful, in an environment that’s nurturing and inclusive, that is free from discrimination for each and every team member without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Efforts have to be recognized. Voices have to be heard. And work/life balance has to be baked into the very fiber of the company. We are honored to be recognized by Inc. Magazine and Bay Area News Group as a best place to work, several years running. We’d love to have you join us on our journey to remarkable!
This job has closed but is shown for context on data science work at Clari.
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