About the Role: At Constellation, we are building products and services that transform complex, multi-layered, time-consuming tasks into turn-key, intelligent, scalable systems.
As a Senior Data Scientist, you will play a key role in driving the development of innovative data science solutions and shaping the future of our platform.
You'll be tasked with exploring complex datasets, building advanced machine learning models, and making architectural and foundational decisions.
Your expertise will help set new paradigms, while you mentor and guide junior team members to elevate the overall capabilities of the team.
You will be responsible for translating business requirements into data science solutions, writing and debugging code, and working on cutting-edge machine learning systems.
Collaboration is key, and you will work closely with cross-functional teams throughout the company to ensure the success of data-driven initiatives.
The ideal candidate is passionate about leveraging their technical expertise to solve challenging problems, and is eager to grow their leadership and mentorship skills.
Role Responsibilities: Communicate key finds and models to clients with the mindset to incorporate a feedback loop to further improve the downstream serviceCollaborate with product teams, data analysts, and other data scientists to model data and conceptualize dashboardsPair with other developers to read, review, and provide feedback on their workOrganize, model, and build dashboards that visualize data and insightsDesign and maintain ETL processesRecommend new solutions and processes to develop and enhance our existing portfolioManage individual project priorities, deadlines, and deliverablesMaintain and manage code in a Git repositoryExposure to workflow automation tools and concepts such as Airflow, crons, etc.Mentor and oversee members of the Data teamJob Requirements: 7+ years of professional experience in a development or data science role, with proficiency in technologies such as Scikit-learn, PyMC3, Tensorflow and PyTorchExperience in MMM, MTA, building churn, survival, or customer lifetime value (CLTV) models tailored to various business requirementsExperience in developing models to measure ROI and setting up experimental design frameworksAbility to perform data analysis and modeling in Python, specifically with PandasProficient in writing and interpreting SQL, with a solid understanding of docs and warehouse-specific functionsExperience in database management, including organizing tables and schemasAbility to fine-tune LLMs to domain specific use casesAbility to write technical documentationExcellent communication skills with a strong desire to work within a team environmentExperience working with AWS services such as Lambda, EC2, Batch, and SageMakerExperience with Deep Learning (Generative modeling) and recommendation engines is highly preferredBackground in Life Science a plusBenefits at Constellation: Comprehensive Healthcare, Dental, and Vision coverageFlexible PTOHybrid work environmentCasual in office dress codeCompetitive 401k plan with company matchCommuter and Parking BenefitsPaid Family LeaveUberEats stipend, free snacks and beveragesWellness programs and other employee perksDiversity & Inclusion: Constellation is an Equal Opportunity Employer, committed to providing a diverse and inclusive environment.
Here at Constellation we don't discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally-recognized protected basis under federal, state, or local law.
If you need an accommodation during any part of the interview process, due to a disability, please let your dedicated Talent Partner know.
Compensation Package: The total compensation package is made up of base compensation, equity, and benefits.
New York Pay Range: $140,000 - $170,000
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