Senior Data Science & Analytics Professional – AI & Automation

🕒 March 13

🏄 California, Maryland, +3 more states – Remote

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⏰ Full Time

🟠 Senior

📊 Data Scientist

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Connor Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2006

💸 Finance

🏢 Enterprise

☁️ SaaS

Finance • Enterprise • SaaS

Connor Group is a leading provider of professional services for world-changing growth companies, offering a wide range of solutions including IPO services, digital solutions, accounting advisory, financial close and reporting, transformation and risk, and mergers and acquisitions. They are known for their expertise in complex finance, operational, and technology needs, and have supported over 250 IPOs with a significant market share in Silicon Valley. Their team comprises top-tier accountants who excel in combining technology with finance to meet ambitious timelines and goals. Connor Group's clients, such as Vytalize Health and SurveyMonkey, commend their ability to expedite processes, deliver practical solutions, and support transitions and acquisitions, highlighting their role in facilitating successful IPO processes and compliance. With a focus on cutting-edge cloud technologies and a strong commitment to client success, Connor Group positions itself as a key partner for growth companies.

📋 Description

• 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