Lead Data Scientist at ADP

Alpharetta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Feb, 26

Salary

0.0

Posted On

12 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Deep Learning, Python, R, SQL, Agile Methodologies, Cloud Computing, Model Validation, Feature Validation, Data Engineering, Data Visualization, Ethical Analytics, Optimization Techniques, MLOps, Dashboarding Tools

Industry

Human Resources Services

Description

ADP is hiring a Lead Data Scientist. In this position you will lead and collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools. The successful candidate effectively communicates the analytics approach (e.g., relevance, tradeoffs) and how it will meet and address objectives to business partners. This role advocates and educates on the value of data-driven decision making focusing on the “how and why” of solving problems. You will lead implementation of analytic approaches, integrating work into applications and tools with data scientists, data engineers, business leads, etc. You will be an active participant in the data science community, responsible for upholding community-wide norms and standards and supporting the development and continuous learning of data scientists. At ADP we are driven by your success. We engage your unique talents and perspectives. We welcome your ideas on how to do things differently and better. In your efforts to achieve, learn and grow, we support you all the way. If success motivates you, you belong at ADP. We strive for every interaction to be driven by our CORE values: Insightful Expertise, Integrity is Everything, Service Excellence, Inspiring Innovation, Each Person Counts, Results-Driven, & Social Responsibility. RESPONSIBILITIES: * Consider implementation constraints, both business and technical, and defines approach across increasingly complex/large analytics use cases * Autonomously define the master table for increasingly complex engagements with a good understanding of all trade-offs in model building * Contribute to feature validation * Independently deliver one or multiple workstreams over the full duration of a project * Have an excellent understanding of leading-edge methodologies with emerging spikes in one or more methodologies (e.g., deep learning) or domains. Can apply these rigorously to a range of problems * Guide junior colleagues in the application of analytics approaches * Create series of outputs/plots that build upon each other to guide problem solving with business teams. Suggests outputs across all workstreams * Write production code optimized for efficiency and memory * Conduct code reviews with junior colleagues * Lead overall model validation/QA approach across the engagement * Excellent understanding of risks and how to mitigate * Raise potential ethical issues related to analytics to leadership EXPERIENCE: * Strong understanding of agile methodologies and experience as a Sr Data Scientist on a cross functional agile team preferred * Proficiency applying data science techniques on large scale data sets. E.g., machine learning to solve clustering, classification, regression, anomaly detection problem statements; and optimization or simulation techniques to solve prescriptive problems * Proven ability to derive new insights by merging and transforming internal and external data sets in business contexts * Experience with supporting deployment, monitoring, maintenance, and enhancement of models preferred * Experience with cloud database technologies (e.g., AWS) and developing solutions on cloud computing services and infrastructure in the data and analytics space QUALIFICATIONS REQUIRED: * 4+ years of directly related experience in a data science environment. * Bachelor’s degree required, MS or PhD preferred in the field of data science, computer science, engineering, mathematics, statistics, or related fields * Python or R required; SQL preferred Qualifications Preference will be given to candidates who have the following: * Demonstrated ability to efficiently learn and solve new business domains and problems * Nice to have experience with popular open-source or commercial optimization libraries (e.g. Gurobi, CPLEX) * Knowledge with dashboarding tools (e.g., Dash, Shiny, Tableau) * Nice to have knowledge with MLOps infrastructure (e.g., Databricks, MLflow) and containerization and managing production pipelines and microservices (e.g., Docker, Kubernetes) #LI-PP1 #LI-Hybrid

Responsibilities

Lead and collaborate with business partners to develop innovative analytics solutions. Guide junior colleagues and ensure the implementation of analytic approaches while advocating for data-driven decision making.