Senior Data Scientist

About Finfare

Finfare is dedicated to empowering SMBs, by providing the ultimate expense management solution for growing businesses seeking to streamline their financial operations and maximize cash back rewards. Finfare offers easy expense tracking, personalized spend controls, seamless accounting integration, powerful analytics, and reliable charge card services. Our cardholders can tap into our vast network of reward program publishers and card-linked merchant offers, ensuring even bigger cash back rewards for their business.

We are always working on redefining the boundaries of digital financial services and aim to stay one step ahead in the ever-evolving fintech landscape.

About the Role

As a Senior Data Scientist at Finfare, you will be at the forefront of our data-driven initiatives, playing a crucial role in shaping our strategies and driving innovation. We are seeking an individual with a comprehensive skill set in data science, deep expertise in specific subfields, and a passion for continuous learning and tackling new challenges. Your role will encompass a wide range of responsibilities, from developing advanced machine learning models to ensuring the highest standards of data security and integrity.

Responsibilities

• Innovative Idea Generation: Proactively identify and propose data science opportunities aligned with our business objectives.
• Roadmap Development: Translate data science ideas into actionable project roadmaps.
• Model Development and Implementation: Develop, implement, and optimize machine learning models to solve complex problems and derive actionable insights.
• Data Preparation: Collect, clean, and preprocess data from various sources, ensuring the creation of high-quality datasets for analysis and modeling.
• Statistical Analysis: Utilize advanced statistical and analytical techniques to uncover patterns, trends, and meaningful insights from data.
• Data Transformation: Manipulate and transform data to prepare it for machine learning and analysis, maintaining data quality and consistency.
• System Integration: Integrate machine learning models into our systems to deliver robust, data-driven solutions and products.
• Model Evaluation: Continuously evaluate and optimize the performance of deployed models to ensure their accuracy and effectiveness.
• Collaboration: Work closely with database and data warehousing teams to ensure a robust, efficient, and secure data infrastructure.
• Compliance: Adhere to established software development guidelines and data security standards to ensure data integrity and privacy.
• Additional Duties: Perform other duties as assigned.

Qualifications and Requirements

• Education: Bachelor's degree in a related field; Master’s or Ph.D. degree is preferred.
• Experience: 6-8 years of industry experience in data science or a related field.

Technical Skills:

• Proficiency in Python/PySpark and SQL
• Extensive experience in developing and deploying machine learning models
• Expertise in data acquisition and cleaning for industry applications
• Knowledge of data security best practices and data governance

Bonus Points:

• Strong data analysis and visualization skills
• Practical knowledge of data engineering
• A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques

Compensation:

The salary range for this position is $150-$200K (Depending on experience and level assessed post interviews)

Benefits at Finfare

• Competitive Health, Vision, and Dental benefits (covering 100% premium for employee and all dependent(s))
• Unlimited PTO  
• 401K (Employer matching) 
• Parental Leave  
• Employee Stock Purchase Plan (if applicable)  
• Health and Wellness reimbursement
• Catered lunches
• Hybrid or remote - depending on the role
• Work Sponsorship (if applicable)
• Other Employee Perks

As part of our dedication to the diversity of our workforce, Finfare is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.

Physical Demands

• This is sedentary work which requires the following physical activities: reaching, sitting, lifting (≤25 pounds), finger dexterity, grasping, feeling, repetitive motions, talking, hearing and visual acuity.

Work Environment

• Well-lighted, heated and/or air-conditioned indoor office setting with adequate ventilation.
• Somewhat quiet but can be boisterous at times.
• Attire is business casual.