Entry Level Sales Specialist

Bridge Professional Services; New York (NY); On-site; USD 120,000 - 140,000; Full time

Job summary

An established industry player in cloud-based fintech automation software is on the lookout for an experienced data scientist. This fully remote role involves collaborating with product design and engineering teams to deliver actionable insights. The ideal candidate will possess a strong background in data mining, mathematics, and statistical analysis, along with a passion for uncovering hidden opportunities within data. Join a dynamic team of specialists and contribute to innovative statistical models that drive smarter business processes. If you thrive in a fast-paced environment and are eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• 7+ years of experience in data science, preferably in fintech.
• Proficiency in data mining, mathematics, and statistical analysis.

Responsibilities

• Lead data strategist to integrate new datasets for product capabilities.
• Analyze data for trends and patterns to inform business decisions.

Skills

Data Mining

Mathematics

Statistical Analysis

Pattern Recognition

Predictive Modeling

Excel

PowerPoint

Tableau

SQL

Java/Python

SAS

Education

Bachelor’s degree in statistics or applied mathematics

Tools

Excel

PowerPoint

Tableau

SQL

Java

Python

SAS

Job description

Bridge Professional Services provided pay range

This range is provided by Bridge Professional Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $140,000.00/yr

Managing Partner at Bridge Professional Services

THIS IS A 100% REMOTE POSITION!

A global leader in cloud based fintech automation software is seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning their data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.

Objectives of this role:

• Collaborate with product design and engineering teams to develop an understanding of needs
• Research and devise innovative statistical models for data analysis
• Communicate findings to all stakeholders
• Enable smarter business processes by using analytics for meaningful insights
• Keep current with technical and industry developments

Responsibilities:

• Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
• Execute analytical experiments to help solve problems across various domains and industries
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
• Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
• Analyze data for trends and patterns, and interpret data with clear objectives in mind
• Implement analytical models in production by collaborating with software developers and machine-learning engineers

Required skills and qualifications:

• Seven or more years of experience in data science, preferably in the financial services, insurance or fintech industries
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced experience in pattern recognition and predictive modeling
• Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)
• Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects

Preferred skills and qualifications:

• Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline
• Two or more years of project management experience
• Professional certification

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst, Research, and Quality Assurance

Industries

IT System Custom Software Development, Technology, Information and Media, and Insurance