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)