We are seeking an experienced Data Scientist – Customer Success Analytics to lead the design and development of predictive and prescriptive models that power the Customer Success organization. This role will focus on churn and upsell prediction, behavioral signal detection, and proactive intelligence that drives engagement and retention within the account base. The ideal candidate will blend data science expertise, business acumen, and automation mindset to turn large-scale Customer Success and product usage data into actionable insights. Key Responsibilities Predictive & Prescriptive Analytics Develop and maintain churn prediction, upsell propensity, and engagement forecasting models using advanced statistical and machine learning techniques. Create signal intelligence frameworks to identify early indicators of customer risk and opportunity. Apply feature engineering, segmentation, and cohort analysis to improve predictive accuracy. Automation & Scalability Automate recurring analytics tasks, reports, and alert systems using Python, SQL, and workflow orchestration tools (Airflow, Power Automate). Partner with Data Engineers to operationalize ML models and integrate outputs with CRM and analytics dashboards. Proactive Intelligence & Benchmarking Design baseline and benchmarking frameworks across industries, revenue tiers, and client types. Generate client vs. industry and client vs. revenue-range comparative insights to support CSM strategies. Deliver proactive signals, trend detection, and alerts for retention and expansion opportunities. Data Quality & Governance Define and enforce data validation rules, ensuring sensible data checks and anomaly detection. Evaluate data completeness and correctness; work with Data Engineering to resolve pipeline or data quality issues. Cross-Functional Collaboration Partner with Customer Success, Product, and Sales teams to embed data-driven recommendations into playbooks and engagement models. Collaborate with BI and MIS teams to ensure model outputs are visible, actionable, and measurable in dashboards. Qualifications Required Bachelor’s/Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field. 8 –10 years of experience in applied data science, preferably in SaaS or B2B environments. Hands-on expertise in Python (pandas, scikit-learn, NumPy, matplotlib, seaborn) and SQL. Experience in predictive modeling, clustering, classification, and regression techniques. Proficiency with BI and visualization tools (Power BI, Tableau) for integrating and communicating model outputs. Familiarity with CRM data (HubSpot, Salesforce, Gainsight) and usage analytics. Exposure to cloud data environments (AWS, Azure, GCP) and ML pipeline deployment preferred. Strong communication skills with ability to translate complex models into actionable business insights. Key Competencies Predictive & Statistical Modeling Machine Learning Implementation Signal & Trend Intelligence Design Data Quality & Governance Cross-Functional Collaboration Automation & Scalable Model Deployment Storytelling with Data Customer Success Metrics Expertise (NRR, GRR, Churn, Adoption, NPS) Proactive, Problem-Solving Mindset Outcome Ownership Move Customer Success from reactive insights to predictive intelligence. Deliver automated signal systems that surface churn or upsell opportunities before CSM intervention. Maintain <2% model error deviation across renewal and adoption predictions. Ensure continuous learning loop between CRM, BI, and data science models for higher forecasting accuracy.
As an experienced Data Scientist in Customer Success Analytics, your role will involve leading the design and development of predictive and prescriptive models to empower the Customer Success organization. You will focus on churn and upsell prediction, behavioral signal detection, and proactive intelligence to enhance engagement and retention within the account base. Your expertise in data science, business acumen, and automation mindset will be crucial in transforming large-scale Customer Success and product usage data into actionable insights. - Predictive & Prescriptive Analytics: - Develop and maintain churn prediction, upsell propensity, and engagement forecasting models using advanced statistical and machine learning techniques. - Create signal intelligence frameworks to identify early indicators of customer risk and opportunity. - Apply feature engineering, segmentation, and cohort analysis to enhance predictive accuracy. - Automation & Scalability: - Automate recurring analytics tasks, reports, and alert systems using Python, SQL, and workflow orchestration tools like Airflow and Power Automate. - Collaborate with Data Engineers to operationalize ML models and integrate outputs with CRM and analytics dashboards. - Proactive Intelligence & Benchmarking: - Design baseline and benchmarking frameworks across industries, revenue tiers, and client types. - Deliver proactive signals, trend detection, and alerts for retention and expansion opportunities. - Data Quality & Governance: - Define and enforce data validation rules to ensure sensible data checks and anomaly detection. - Evaluate data completeness and correctness, collaborating with Data Engineering to resolve pipeline or data quality issues. - Cross-Functional Collaboration: - Partner with Customer Success, Product, and Sales teams to embed data-driven recommendations into playbooks and engagement models. - Collaborate with BI and MIS teams to ensure model outputs are visible, actionable, and measurable in dashboards. As a qualified candidate for this role, you should possess: - Bachelor's/Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field. - 8-10 years of experience in applied data science, preferably in SaaS or B2B environments. - Hands-on expertise in Python (pandas, scikit-learn, NumPy, matplotlib, seaborn) and SQL. - Experience in predictive modeling, clustering, classification, and regression techniques. - Proficiency with BI and visualization tools (Power BI, Tableau) for integrating and communicating model outputs. - Familiarity with CRM data (HubSpot, Salesforce, Gainsight) and usage analytics. - Exposure to cloud data environments (AWS, Azure, GCP) and ML pipeline deployment preferred. - Strong communication skills with the ability to translate complex models into actionable business insights. In addition to technical qualifications, key competencies for this role include: - Predictive & Statistical Modeling - Machine Learning Implementation - Signal & Trend Intelligence Design - Data Quality & Governance - Cross-Functional Collaboration - Automation & Scalable Model Deployment - Storytelling with Data - Customer Success Metrics Expertise (NRR, GRR, Churn, Adoption, NPS) - Proactive, Problem-Solving Mindset Your main objectives in this role will be to: - Transition Customer Success from reactive insights to predictive intelligence. - Implement automated signal systems to identify churn or upsell opportunities before CSM intervention. - Maintain <2% model error deviation across renewal and adoption predictions. - Establish a continuous learning loop between CRM, BI, and data science models to improve forecasting accuracy.,
Job Title: Assistant Manager – Digital Marketing Job Summary We are seeking a dynamic and results-driven Assistant Manager – Digital Marketing to support the planning, execution, and optimization of our paid/online marketing efforts. This role requires a creative thinker with strong analytical skills, experience in digital marketing channels, and the ability to collaborate across departments to drive online engagement, lead generation, and brand awareness. Key Responsibilities Assist in the development and implementation of comprehensive digital marketing strategies. Manage and optimize campaigns across digital platforms including SEM (Google Ads), display advertising, email marketing, and social media (Facebook, LinkedIn, Instagram, etc.). Monitor and analyze campaign performance using tools such as Google Analytics, Google Ads, Linkedin Ads, etc., and provide actionable insights. Coordinate with content, design, and product teams to ensure consistent branding and messaging across all digital touchpoints. Contribute to the creation of engaging content for ad campaigns and other digital campaigns. Track KPIs such as Conversion Rate, Paid Channel traffic, CTR, and ROI on campaigns. Stay current with emerging digital trends, tools, and technologies to propose new growth opportunities. Support lead generation and nurturing strategies through marketing automation platforms (e.g., HubSpot, Salesforce etc.). Assist in preparing marketing reports and presentations for senior leadership. Qualifications And Skills Bachelor’s degree in Marketing, Business, Communications, or a related field 3–5 years of experience in digital marketing or related roles. Proficient in Google Ads, Meta Ads Manager, SEO/SEM strategies, and email marketing tools. Hands-on experience with web analytics tools (e.g., Google Analytics, Hotjar, SEMrush). Familiarity with content management systems (CMS) like WordPress or Shopify. Strong understanding of digital performance metrics and reporting. Excellent written and verbal communication skills. Creative mindset with the ability to think strategically and execute methodically. Strong project management and organizational skills. Preferred Skills Google Ads and Analytics certifications. Experience in B2B/B2C marketing environments. Working experience in website management
Job Responsibilities Achieve agreed upon sales targets and outcomes within schedule Responsible to close the Sales deal on phone or by visiting client. Work closely with internal Marketing and Market Research team during client conversion process. Work closely with Inside Sales/Research teams to execute defined account mapping plan. Job Requirement Bachelors /Master’s degree in business, marketing, economics or related field. Experience in sales (preferably oversees) and understanding of the sales process and dynamics. Excellent written and verbal communication skills. Superb interpersonal skills, including the ability to quickly build rapport with both customers and suppliers. Able to work comfortably in a fast paced, remote team environment. Experience in transactional selling, market research sales, consulting sales or Past experience in Procurement is a plus. Education, Desirable Qualification And Educational Establishment, Additional Education Essential : 12+ years of experience in the Procurement Consulting area or direct interaction with Supply Chain and/or Procurement Organizations within medium-to-large. Business Development experience is preferred. Personal Characteristics Sense of urgency Accountability Trustworthiness An interest and curiosity Highly self-motivated and goal oriented Creativity and the ability to think quick on your feet
**Job Description:** As a Sales Executive at our company, your role will involve achieving agreed upon sales targets and outcomes within the given schedule. You will be responsible for closing sales deals either over the phone or by visiting clients. Collaboration with the internal Marketing and Market Research teams will be crucial during the client conversion process. Working closely with Inside Sales/Research teams to execute the defined account mapping plan is also a part of your responsibilities. **Key Responsibilities:** - Achieve agreed upon sales targets and outcomes within schedule - Close sales deals on phone or by visiting clients - Collaborate with internal Marketing and Market Research teams during client conversion process - Work closely with Inside Sales/Research teams to execute defined account mapping plan **Qualifications Required:** - Bachelor's/Master's degree in business, marketing, economics, or related field - Experience in sales, preferably overseas, with an understanding of the sales process and dynamics - Excellent written and verbal communication skills - Superb interpersonal skills, including the ability to quickly build rapport with customers and suppliers - Comfortable working in a fast-paced, remote team environment - Experience in transactional selling, market research sales, consulting sales, or past experience in Procurement is a plus **Additional Details:** You must have at least 12+ years of experience in the Procurement Consulting area or direct interaction with Supply Chain and/or Procurement Organizations within medium-to-large businesses. Business Development experience is preferred. In terms of personal characteristics, we value individuals with a sense of urgency, accountability, trustworthiness, interest, and curiosity. Being highly self-motivated, goal-oriented, creative, and able to think quickly on your feet are traits that will contribute to your success in this role.,