Senior Data Scientist, Marketing

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Location: San Francisco, CA

Role Overview:

Fractal is seeking a seasoned Senior Data Scientist who has experience solving data science problems in the Marketing domain, particularly in building Multi-Touch Attribution models using Deep Learning and creating uplift models for measuring the effectiveness of marketing initiatives, in the B2B setting. This role will require you to collaborate with multiple stakeholders, internal and external.

Key Responsibilities:

• In this role, you will be part of a client-facing team that develops data science solutions to solve complex business problems in the B2B Marketing space.

• Identify business gaps and develop KPIs for evaluating direct and indirect impacts of marketing campaigns.

• Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production.

• Create high-quality, actionable Insights for both technical and business stakeholders.

• Bring innovative thinking and best practices to all operational activities.

Qualifications:

• Minimum 5 years of experience in the Data Science space, with a minimum of 2 years’ experience in the marketing space, particularly with Multi Touch Attribution problems in the B2B context.

• Minimum 2 years of experience managing complex data science projects, leading a team of data scientists and/or ML engineers

• Deep understanding of the marketing world ranging from KPIs to terminologies, as well as in solving data science problems in the marketing space

• Strong experience in developing and deploying Deep Learning models, particularly in sequence-based architectures reliant on LSTM and convolutions.

• Strong Experience in creating customized deep learning architectures, as well as adding in new functionalities to existing classes and methods in tensorflow

• Strong Experience with model explainability approaches, including but not limited to SHAP and/or Lime for Tree-based and Deep Learning models

• Adept at computational complexity & algorithmic thinking, and optimizing on time and space complexities to build programs of scale

• Minimum 2 years of experience in using advanced statistical techniques for experiment design, as well as building uplift modelling solutions

• Experience in building model training and scoring pipelines in Amazon Sagemaker, including the experience of integrating the pipelines with other AWS functionalities such as S3, Cloudwatch, Lambda, EventBridge

• Advanced- level SQL experience, particularly within Snowflake: Writing efficient and concise SQL queries with minimal reliance on Python or other languages, for EDA and data manipulation tasks

• Strong demonstrated experience on bringing in gated and ungated touchpoints, and creating cohesive customer journeys from them for the Multi Touch Attribution problems

• Strong understanding of the various stages of sales lifecycle and how they are tracked in CRM software such as Salesforce sales cloud

• Attention to detail is a must

• Ability to handle multiple assignments simultaneously and meet deadlines for all of them

• Team player, but also able to work independently with minimal to zero supervision

• Excellent verbal and written communication skills, with strong Excel and Presentation skills

• Experience in Natural Language Processing would be good to have

• Experience with PySpark/Spark SQL is good to have

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and org