Senior Data Science & Analytics Professional – AI & Automation
Connor Group
full-time
Posted on:
Location Type: Remote
Location: California • Maryland • United States
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Job Level
About the role
- Hands on design, development, deployment, and maintenance of data analytics, advanced analytics, data science and AI solutions.
- Lead end-to-end delivery of data science & advanced analytics engagements.
- Translate complex business problems into analytics and machine learning solutions.
- Perform diagnostic analytics / causal / driver analysis for complex business problems
- Develop predictive, prescriptive, and optimization models for enterprise use cases.
- Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences).
- Creates machine learning models for tasks like customer segmentation, sales forecasting, and churn prediction.
- Applies techniques in causal inference and quasi-experimental design (e.g., matching, ITS) to determine the incremental effect of programs and interventions.
- Design and implement AI-enabled analytics solutions, including forecasting, customer and revenue analytics, risk and anomaly detection, in-process intelligence and optimization.
- Selects appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets.
- Performs model assessment & optimization.
- Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles.
- Writes queries (BigQuery, SQL …) and scripts to gather, clean, and pre-process raw structured and unstructured data for data science tasks.
- Write scripts to automate data cleaning and fusion processes.
- Helps manage, maintain, and improve client data sources.
- Works with data engineering to deploy scripts and models as reliable pipelines.
- Solid understanding of data manipulation and database technologies (SQL, NoSQL).
- Strong knowledge of machine learning algorithms and libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
- Build reusable analytics accelerators, frameworks, and industry solutions.
- Develop solutions around AI-driven BI, Agentic AI applications, AI-assisted data management, GenAI / LLM based innovative solutions etc.
- Create Proof-of-Concepts, Prototypes for innovative solutions.
- Work closely with client stakeholders including CFO, FP&A, operations, and IT leadership.
- Mentor and lead teams of data analysts, data engineers, and data scientists.
- Facilitate workshops on data strategy, analytics roadmap, and AI adoption.
- Serve as a trusted advisor to clients on data-driven decision making.
- Ability to establish and maintain strong working relationships with external and internal IT partners
- Support sales and business development activities including proposals and solution architecture.
- Present insights and recommendations to senior executives and business leaders.
- Ability to manage multiple projects / clients at the same time and work in an agile fashion.
- Performing change management support for stakeholders.
Requirements
- 10+ years of experience in data analytics, data science, advanced analytics, or machine learning.
- 8+ years of experience delivering analytics solutions in a consulting or advisory environment.
- Strong expertise in diagnostic analytics, statistical modeling, machine learning, predictive analytics, and optimization techniques.
- Highly efficient in Python or R and comfortable with SQL.
- Hands-on experience with tools such as Python (pandas, scikit-learn, PyTorch, TensorFlow), SQL, Data science platforms (Databricks, Snowflake, AWS, Azure, GCP).
- Experience building production-grade ML pipelines and MLOps workflows.
- Must thrive when presenting complex analyses to non-technical stakeholders
- Experience applying statistics, experimental design, and causal inference through professional experience
- Experience developing end-to-end machine learning solutions through professional experience
- Ability to translate business problems into quantitative models and analytics solutions.
- Strong executive communication and presentation skills.
- Proven experience in enterprise analytics transformation or AI adoption programs.
- Experience in Generative AI and LLM-based applications.
- Experience with Retrieval Augmented Generation (RAG), AI copilots for analytics, and Agentic AI workflows.
- Familiarity with modern data architectures (data lakehouse, data mesh and medallion architecture).
- Experience in financial analytics, FP&A, or operational analytics is a plus.
- Experience in CRM, ERP, FP&A related technologies, systems and platforms is a plus.
- Advanced degree in Data Science, Statistics, Computer Science, Economics, Applied Mathematics, or other quantitative fields.
Benefits
- Health insurance packages
- Wellness programs
- One-on-one coaching program
- Career development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsdata scienceadvanced analyticsmachine learningpredictive analyticsstatistical modelingcausal inferenceoptimization techniquesdata manipulationdatabase technologies
Soft Skills
executive communicationpresentation skillsrelationship managementproject managementmentoringworkshop facilitationchange managementconsultative skillsproblem-solvingagile methodology
Certifications
advanced degree in Data Scienceadvanced degree in Statisticsadvanced degree in Computer Scienceadvanced degree in Economicsadvanced degree in Applied Mathematics