Machine Learning Architect- REMOTE

Company: Jobot
Location: Garland
Posted on: August 2, 2022

Job Description:

REMOTE, Equity, GreenTech, Snowflake, Databricks

This Jobot Job is hosted by Nicole Crosby

Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.

Salary $180,000 - $210,000 per year

A Bit About Us

Our mission is the enablement of every organization and person with the technology to positively impact the health of planet Earth. Persefoni is creating an all-in-one platform that allows organizations to measure, analyze, and reduce their Enterprise Carbon Footprint. Our goal is to provide our customers unprecedented visibility and insights into the impact their organization has on the environment. Leveraging the latest breakthroughs in data science and software, our technology will empower teams and leaders to mobilize their organizations to continuously improve their greenhouse gas emissions metrics.



Why join us?


Generous PTO policy (5 weeks)

401k with company match

Medical, dental, and vision insurance

Disability, life insurance

Equity incentive plan

Job Details

As a Senior Data Scientist / ML Engineer, you will have the unique opportunity to apply machine learning to build insights that will enable our customers to manage their carbon footprint and positively impact planet earth! You will get to work with some of the brightest minds in carbon accounting, data, and analytics. You will apply data and cutting edge machine learning techniques to improve customer engagement, implement predictive analytics, turbo charge our growth engines, and build frictionless onboarding experiences.

Responsibilities (What We Expect)

Be a champion of applying mathematical rigor and scientific thinking across modeling, experimentation and validation activities.

Be a thought leader in applying cutting edge ML techniques to build predictive analytics and delightful user experiences.

Be great at building effective visualizations and telling a story with data and insights.

Be skilled at cleaning, transforming, and building models with a variety of datasets and formats.

Be comfortable working with SDLC processes and tools such as Jira, Bitbucket, and automated testing frameworks.

Qualifications (What You Bring To The Role)

Bachelors, Masters, or Ph.D in Machine Learning, Computer Science or related field.

4+ years of experience as a Data Scientist / Machine Learning Engineer.

Proficiency in classic and modern ML techniques such as regression, clustering, anomaly detection, deep learning (DL) and DL based computer vision and NLP.

Strong proficiency in statistical analysis and visualizations of large datasets.

Proficiency in building data pipelines, working with relational and nosql datastores, and structured and unstructured datasets.

Familiarity with Databricks, AWS Sagemaker and Snowflake would be a plus.

Experience with applying ML for customer segmentation, predictive analytics, personalization, and data reconciliation would be a plus.

Interested in hearing more? Easy Apply now by clicking the "Apply" button.

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