Senior Data Scientist - AI for FinTech Matchmaking

Datalign Advisory, LLC.; Cambridge (MA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary with performance-based bonuses

Commuting support

Weekly lunches catered

Job summary

Datalign Advisory, LLC. in Cambridge, MA is seeking a Senior or Principal Data Scientist to lead AI initiatives and facilitate decision-making through advanced analytics. The role involves building data science products that enhance user experience and business outcomes in financial advisory.

Responsibilities include developing machine learning models, conducting exploratory analysis, and collaborating with teams to identify impactful solutions. The position requires a background in quantitative fields and expertise in Python, SQL, and machine learning algorithms.

Offers a dynamic environment, competitive salary, performance-based bonuses, and comprehensive benefits.

Qualifications

• MS with 6+ years of industry experience or PhD with 3+ years.
• Entrepreneurial mindset with willingness to experiment.
• Experience putting machine learning solutions in production.

Responsibilities

• Conduct exploratory data analysis.
• Develop and deploy machine learning models using CI/CD practices.
• Influence strategic decisions by communicating complex data.

Skills

Expert-level proficiency in Python

Proficiency in SQL

Deep understanding of machine learning algorithms

Strong background in product analytics

Experience with A/B testing

Education

MS or PhD in Computer Science, Statistics, Mathematics, or related field

Tools

AWS/GCP/Azure ML

Spark

Kafka

Job description

Datalign Advisory, LLC. in Cambridge, MA is seeking a Senior or Principal Data Scientist to lead AI initiatives and facilitate decision-making through advanced analytics. The role involves building data science products that enhance user experience and business outcomes in financial advisory.

Responsibilities include developing machine learning models, conducting exploratory analysis, and collaborating with teams to identify impactful solutions. The position requires a background in quantitative fields and expertise in Python, SQL, and machine learning algorithms.

Offers a dynamic environment, competitive salary, performance-based bonuses, and comprehensive benefits.