Senior Data Scientist

Instnt Inc. is a public benefit corporation on a mission to bring inclusion and instant account opening experiences for businesses and their customers through proprietary technology, artificial intelligence, open standards and a collaborative effort in the identity governance industry. With Instnt AcceptTM the first fully managed customer acceptance solution with up to $100M in annual fraud loss warranty, businesses can onboard more good customers, grow their top-line revenue, and cut their operational costs without friction or fraud losses in minutes.

The Senior/Staff Data Scientist will collaborate with cross-functional teams to design, develop, and deploy machine learning models that solve complex business challenges. 

Key Responsibilities:

• Collaborate with customers to understand their unique business challenges and objectives, and work to formulate data-driven solutions that address their needs.
• Collaborate with Sales on developing and presenting value propositions to customers.
• Lead end-to-end development of machine learning projects, from problem formulation and data collection to model development, evaluation, and deployment.
• Collaborate closely with product managers, data scientists, software engineers, and other stakeholders to understand business requirements and translate them into technical solutions.
• Build and integrate machine learning solutions into production systems.
• Participate in code reviews, provide constructive feedback, and maintain high standards of code quality and best practices.
• Participate in client meetings, workshops, and presentations to effectively communicate data-driven recommendations, answer questions, and address concerns.
• Mentor and provide technical guidance to junior members of the machine learning team, fostering their professional growth and development.

Qualifications:

• 4-6 years of professional experience in designing, developing, and deploying machine learning models in a production environment.
• Strong proficiency in Python and experience with machine learning libraries/frameworks (e.g., H2o, scikit-learn, TensorFlow, PyTorch).
• Demonstrated expertise in various machine learning techniques
• Solid understanding of software engineering principles, version control, and agile development methodologies.
• Experience with MLOps experiment tools (e.g. MLFlow, Weights & Biases), feature platforms (e.g. Feast, Tecton), and monitoring platforms
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g. Docker, Kubernetes).
• Proven track record of leading and delivering complex machine learning projects from conception to deployment.
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, multidisciplinary team environment.
• Strong communication skills to effectively explain technical concepts to both technical and non-technical stakeholders.

What We Offer: Generous benefits package to include unlimited PTO, fully remote workplace, generous leave for new parents, professional development, in person team get-togethers in NYC twice per year, a collaborative culture that welcomes innovative ideas, celebrates diversity and creates a sense of community and belonging.

Salary Range: $150k - $170k (placement within this range depends upon several factors, including the applicant’s prior relevant job experience, skill set, and geographic location)

We are an equal opportunity employer. M/F/H/V