Data Scientist
Data Scientist
Posted on :
12-05-2025
Employer Active
1 Vacancy
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Job Description
Data Scientist
Req number:
R5301Employment type:
Full timeWorksite flexibility:
RemoteWho we are
CAI is a global technology services firm with over 8500 associates worldwide and a yearly revenue of $1 billion. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients colleagues and communities. As a privately held company we have the freedom and focus to do what is rightwhatever it takes. Our tailormade solutions create lasting results across the public and commercial sectors and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary
We are seeking Data Scientist with expertise in analytical modeling ML methodologies and data visualization to elevate our datadriven culture and deliver actionable insights that optimize business performance. The candidate must have proven success in coalescing analyzing synthesizing and contextualizing complex data sets (qualitative and quantitative) to deliver metrics insights advanced machine learning / AI analytics with actionable recommendations that have a direct impact on business strategy and inform customer experience decisions. This is a Fulltime and Remote position.Job Description
What Youll Do
- Understand current state architecture including pain points.
- Translate Business/Customer Problems: Partner with the Customer Understanding Manager to translate business/customer challenges into datadriven hypotheses insights and recommendations that optimize marketing and sales performance.
- Insight Generation: Demonstrated experience proactively identifying and generating insights to enhance business and marketing performance moving beyond descriptive analysis to inform strategic decisions.
- Storytelling with Data: Strong data analytics visualization and storytelling skills along with great attention to details.
- Modeling & Advanced Analytics: Develop and manage customer health programsleveraging predictive analytics and machine learning models to assess customer engagement churn risk and growth potential.
- Quantify Impact of Marketing Initiatives: Perform deepdive statistical analysis to quantify the impact of marketing initiatives on business KPIs including revenue growth retention rates and customer lifetime value.
- Develop NPS Analysis: Support development of NPS (Net Promoter Score) analysis. Identify relevant data from internal and external sources to align NPS score to operational financial and experience metrics.
- Design and Maintain Automated Dashboards: Design and maintain automated dashboards and selfservice analytics tools using Salesforce Tableau and Power BI to support realtime decisionmaking.
- Apply AI/ML methodologies: Utilize AL/ML techniques such as predictive modeling clustering key driver analysis and NLP to uncover customer trends and improve engagement strategies.
- Promote InsightInformed and DataDriven Culture: Develop regular reports executive briefs and blogs to reveal market industry and customer trends fostering an insightinformed and datadriven culture within the company.
- Develop Scorecards and Performance Dashboards: Lead the creation of scorecards and performance dashboards ensuring marketing and sales teams have the insights needed to optimize decisionmaking.
- Drive Innovation in Data Strategy: Stay updated on evolving AI/ML methodologies automation frameworks and analytics best practices to drive innovation in data strategy.
- Experimental Design & Statistical Modeling (hierarchical linear models regression analysis hypothesis testing significance testing).
- AI/ML Expertise (GenAI NLP treebased models deep learning ModelOps/MLOps best practices reinforcement learning).
- Data Engineering & Processing (structured/unstructured data manipulation building ETL pipelines Python libraries: pandas scikitlearn statsmodels etc.).
- Data Storytelling & Visualization (Tableau Power BI Salesforce Plotly Adobe Analytics etc.).
- Automated Analytics & Cloud Computing (AWS GCP Azure Databricks Snowflake BigQuery).
- Strong time management and organizational skills with the ability to prioritize and execute projects independently.
What Youll Need
- Bachelors degree in quantitative discipline: computer science Statistics Applied Mathematics Economics or a related field.
- 57 years of experience in advanced analytics data science or marketing intelligence preferably in B2B or manufacturing industries.
- 4 years Tableau experience.
- 4 years of SQL development skills writing queries transforming data mining structured and unstructured data.
- Strong expertise in SQL Python and statistical modeling with experience in building scalable data pipelines.
- Proficiency in data visualization and selfservice analytics tools (Tableau Power BI Salesforce Analytics etc.).
- Handson experience with AI/ML frameworks NLP and MLOps best practices
- Proven ability to synthesize complex data sets into strategic business insights that drive measurable outcomes.
- Strong communication skills with the ability to translate complex technical findings into actionable business recommendations.
- Expert at hypothesis generation creating datadriven business questions and experimental design techniques.
- Agile project management skills with the ability to manage multiple priorities and deliver highimpact results.
- Passion for continuous learning research and innovation in data analytics and AI.
Physical Demands
- This role involves mostly sedentary work with occasional movement around the office to attend meetings etc.
- Ability to perform repetitive tasks on a computer using a mouse keyboard and monitor.
Reasonable accommodation statement
If you require a reasonable accommodation in completing this application interviewing completing any preemployment testing or otherwise participating in the employment selection process please direct your inquiries to or (888).
Employment Type
Full-Time
Key Skills
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