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Job Title: Data Scientist (Client Analytics)Position Overview We are seeking a Data Scientist to join a client-facing analytics team in a fully remote capacity. This role combines advanced data science with business impact, focusing on analyzing large-scale datasets, developing insights, and communicating data-driven narratives to both technical and non-technical audiences.This position is ideal for a data professional who enjoys working closely with cross-functional teams, contributing to revenue growth, and translating complex analytical findings into meaningful business value throughout the customer lifecycle.Key ResponsibilitiesData Analysis &amp; Insights<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Analyze large and complex datasets to generate actionable insights</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Evaluate model performance and provide recommendations to optimize outcomes</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Support clients in building effective risk management and decision-making strategies</li>
</ul>Client Engagement &amp; Storytelling<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Develop and present compelling data-driven narratives to demonstrate product value</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Translate complex analytical concepts, including machine learning models, into clear business insights</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Act as a subject matter expert, helping clients understand solutions and their impact</li>
</ul>Cross-Functional Collaboration<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Partner with go-to-market teams including Sales, Account Management, and Solutions teams to support pre- and post-sales efforts</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Identify opportunities for product optimization, upselling, and enhanced client value</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Serve as the voice of the customer by providing feedback to internal product and data teams</li>
</ul>Modeling &amp; Innovation<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Build and test machine learning models to explore new approaches and improve existing solutions</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Develop tools and automated workflows to improve efficiency, accuracy, and scalability of analysis</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Contribute to the evolution of data products through insights and experimentation</li>
</ul>Tools &amp; Technology<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Work with modern data science and cloud tools to manage, process, and analyze large datasets</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Utilize visualization tools to create dashboards and interactive reports</li>
</ul>QualificationsRequired:<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Computer Science) or equivalent experience</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">3+ years of experience in data science, analytics, or related roles</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong proficiency in Python and experience working with large-scale datasets</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience with SQL and relational databases</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Solid understanding of machine learning methods (supervised and unsupervised)</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong communication skills with the ability to present insights to diverse audiences</li>
</ul>Preferred:<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Advanced degree in a quantitative discipline</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience with cloud platforms such as AWS, Azure, or GCP</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Familiarity with big data tools (e.g., Spark, Databricks)</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience with data visualization tools such as Tableau or Looker</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Background in risk analytics, identity verification, or fraud prevention</li>
</ul>Core Competencies<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong analytical and problem-solving skills</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Ability to translate data into actionable business insights</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Effective storytelling and presentation abilities</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Collaborative mindset with cross-functional teams</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Self-motivated and comfortable working in a remote, fast-paced environment</li>
</ul>Technology Stack (Examples)<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Python ecosystem (Pandas, NumPy, PySpark, Jupyter, etc.)</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Data platforms (Databricks, Snowflake, Redshift, S3)</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Workflow and processing tools (Airflow, Apache Spark)</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Visualization tools (Tableau, Looker)</li>
</ul>

Job Title: Data Scientist (Client Analytics)

Position Overview

We are seeking a Data Scientist to join a client-facing
analytics team in a fully remote capacity. This role combines
advanced data science with business impact, focusing on analyzing
large-scale datasets, developing insights, and communicating
data-driven narratives to both technical and non-technical
audiences.

This position is ideal for a data professional who enjoys working
closely with cross-functional teams, contributing to revenue
growth, and translating complex analytical findings into
meaningful business value throughout the customer lifecycle.

Key Responsibilities

Data Analysis & Insights

* Analyze large and complex datasets to generate actionable
insights
* Evaluate model performance and provide recommendations to
optimize outcomes
* Support clients in building effective risk management and
decision-making strategies
Client Engagement & Storytelling

* Develop and present compelling data-driven narratives to
demonstrate product value
* Translate complex analytical concepts, including machine
learning models, into clear business insights
* Act as a subject matter expert, helping clients understand
solutions and their impact
Cross-Functional Collaboration

* Partner with go-to-market teams including Sales, Account
Management, and Solutions teams to support pre- and post-sales
efforts
* Identify opportunities for product optimization, upselling, and
enhanced client value
* Serve as the voice of the customer by providing feedback to
internal product and data teams
Modeling & Innovation

* Build and test machine learning models to explore new
approaches and improve existing solutions
* Develop tools and automated workflows to improve efficiency,
accuracy, and scalability of analysis
* Contribute to the evolution of data products through insights
and experimentation
Tools & Technology

* Work with modern data science and cloud tools to manage,
process, and analyze large datasets
* Utilize visualization tools to create dashboards and
interactive reports
Qualifications

Required:

* Bachelor’s degree in a quantitative field (e.g., Data Science,
Statistics, Mathematics, Computer Science) or equivalent
experience
* 3+ years of experience in data science, analytics, or related
roles
* Strong proficiency in Python and experience working with
large-scale datasets
* Experience with SQL and relational databases
* Solid understanding of machine learning methods (supervised and
unsupervised)
* Strong communication skills with the ability to present
insights to diverse audiences
Preferred:

* Advanced degree in a quantitative discipline
* Experience with cloud platforms such as AWS, Azure, or GCP
* Familiarity with big data tools (e.g., Spark, Databricks)
* Experience with data visualization tools such as Tableau or
Looker
* Background in risk analytics, identity verification, or fraud
prevention
Core Competencies

* Strong analytical and problem-solving skills
* Ability to translate data into actionable business insights
* Effective storytelling and presentation abilities
* Collaborative mindset with cross-functional teams
* Self-motivated and comfortable working in a remote, fast-paced
environment
Technology Stack (Examples)

* Python ecosystem (Pandas, NumPy, PySpark, Jupyter, etc.)
* Data platforms (Databricks, Snowflake, Redshift, S3)
* Workflow and processing tools (Airflow, Apache Spark)
* Visualization tools (Tableau, Looker)

DS Q&A.pdf

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Technology

Joe Watts

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Data Scientist 2 | Client Analysis |  Seattle, Miami, Bay Area, New York City remote

Data Scientist 2 | Client Analysis | Seattle, Miami, Bay Area, New York City remote

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