Senior Data Scientist

Title                                : Marketing Analytics Specialist

Experience                   : 5 to 8 yrs

Location                       : Anywhere in India – Preferred Chennai

Type of Hire                  : PwD/Non PwD

Work type                      : Remote

Employment Type      : Full Time

Notice Period               : Immediate

Workday                        : Mon to Fri

Role Overview

We are looking for an experienced Marketing Analytics Specialist to derive actionable commercial insights from Reckitt’s cross-channel e-commerce sales data. The role involves integrating data from multiple, inconsistently structured sources, developing scalable data pipelines and data models, creating business intelligence dashboards, and analyzing the impact of media platform spending on sales performance across various retailer platforms.

Key Responsibilities

• Commercial Analytics: Analyze cross-channel e-commerce sales data to identify trends, performance drivers, and actionable commercial insights.
• Business Requirements: Collaborate with business stakeholders to understand reporting requirements and translate them into analytical solutions.
• Data Architecture: Design and implement efficient data storage, retrieval, and processing architectures.
• ETL Development: Build and maintain robust, scalable ETL pipelines to integrate data from multiple source systems into data warehouses or other storage solutions.
• Data Modelling: Develop and maintain data models aligned with business reporting and analytical requirements.
• Data Quality: Implement data quality checks, validation, and reconciliation processes to ensure data accuracy, completeness, and consistency.
• BI Dashboards & Reporting: Design and develop interactive dashboards and reports that communicate business performance and insights effectively.
• Media Spend Analysis: Analyze the impact of media platform spending on sales performance across multiple retailer platforms and identify opportunities to improve marketing effectiveness.
• End-User Training: Provide training, documentation, and ongoing support to enable business users to use BI tools effectively.

Required Skills

• 5+ years of experience in Marketing Analytics, Data Analytics, Business Intelligence, or a related field.
• Prior hands-on experience in Marketing Analytics, with full proficiency in Claude AI
• Strong SQL skills for data extraction, transformation, and analysis.
• Hands-on experience with ETL/ELT pipelines and data integration from multiple sources.
• Experience with data warehousing concepts and data modeling.
• Proficiency in Power BI, Tableau, or other BI visualization tools.
• Experience analyzing e-commerce sales, marketing performance, media spending, or retailer data.
• Knowledge of data quality, data validation, and reconciliation techniques.
• Strong analytical, problem-solving, and stakeholder communication skills.

Good to Have

• Experience in FMCG, retail, consumer goods, or e-commerce analytics.
• Understanding of digital marketing metrics such as ROI, ROAS, and campaign performance.
• Exposure to marketing attribution or Marketing Mix Modeling (MMM).
• Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.
• Knowledge of Python or data transformation tools such as dbt.

🚀 We’re Hiring | Data Scientist 🧠📊

Ready to turn data into real-world intelligence? Join us and work on exciting AI/ML & data-driven solutions!

🔹 Experience: 8+ Years

🔹 Must-Have Skills:

🐍 Python | 🤖 Machine Learning | ☁️ Cloud | 🧠 NLP | 📊 Data Visualization

📍 Location: Pune

💼 Work Mode: Work from Office

If you're passionate about Data Science, AI & solving complex business problems, we’d love to hear from you!

📩 Interested? Kindly text

#Hiring #DataScientist #DataScience #MachineLearning #Python #NLP #AI #Cloud #DataVisualization #TechJobs #HiringNow

We are looking for a Data Science & Machine Learning Senior Associate with 3–5 years of relevant experience in data science, machine learning, and analytics. The candidate will be responsible for developing predictive models, analyzing complex datasets, building scalable ML solutions, and supporting production-grade data science applications on cloud platforms.

• Develop and implement machine learning and predictive analytics models.
• Perform data analysis, statistical modeling, and optimization to solve business problems.
• Build demand forecasting and predictive models using time-series and other advanced techniques.
• Work with large datasets using Python, SQL, PySpark, and cloud-based data platforms.
• Develop and maintain scalable data pipelines for ML model development and deployment.
• Implement MLOps practices including model deployment, monitoring, retraining, and data-drift detection.
• Collaborate with software engineers, product teams, and business stakeholders to convert business requirements into analytical solutions.
• Validate models for accuracy, robustness, bias, and production readiness.
• Create meaningful visualizations and communicate analytical insights to technical and non-technical stakeholders.

• Python
• SQL
• Data Science & Machine Learning
• Predictive Modeling
• Statistical Analysis
• Machine Learning Algorithms
• Optimization Techniques
• Google Cloud Platform (GCP)
• BigQuery
• Dataflow
• Dataproc
• Data Fusion
• Cloud SQL
• Airflow
• PySpark
• PostgreSQL
• Terraform
• Tekton
• APIs
• MLOps

• Java

• Demand Forecasting
• Time-Series Analysis
• Neural Networks
• Ensemble Methods
• Support Vector Machines (SVM)
• Regression and Cluster Analysis
• ML Model Testing
• Bias Detection and Data Drift Monitoring
• Production ML Deployment
• QlikSense
• Automotive or Supply Chain Analytics

Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field.Master's degree in a relevant quantitative or technical field is preferred.

About Starbond

Starbond is a growing direct-to-consumer brand focused on delivering high-quality products and an excellent customer experience. We are looking for a hands-on Marketing Manager who can turn data, customer insights, and strong execution into profitable growth.

About the Role

The Marketing Manager will own Starbond’s direct-to-consumer growth engine across paid acquisition, retention, lifecycle marketing, content, SEO, answer engine optimization (AEO), social media, conversion optimization, and agency performance. This role requires a strong command of unit economics—including customer lifetime value (LTV), customer acquisition cost (CAC), CAC payback period, gross margin, and contribution margin—and the ability to convert these metrics into sound growth decisions.

You will directly manage marketing agencies across Meta, Google, email, and AEO while leading the internal Marketing team, setting clear performance standards, and giving the CEO timely visibility into results, risks, and recommended actions.

Key Responsibilities

DTC Growth and Customer Acquisition

• Develop and lead the DTC acquisition strategy across Meta Ads, Google Ads, Shopify, email, SEO, social media, Amazon alignment, and other relevant channels.
• Manage marketing for profitable growth—not revenue or ROAS alone—by incorporating product margin, contribution margin, retention, and customer quality into decisions.
• Establish acceptable CAC thresholds by product, customer segment, campaign, and channel, and recommend when to scale, restructure, reduce, or discontinue investment.
• Align advertising, creative, landing pages, offers, product positioning, inventory availability, and operational readiness.

LTV, Retention, and Lifecycle Marketing

• Maintain a clear and consistent LTV methodology using customer revenue, purchase frequency, retention, gross margin or contribution margin, and cohort data.
• Analyze LTV and retention by acquisition source, product, cohort, and customer segment, and use the findings to improve channel and offer decisions.
• Lead strategies that improve repeat purchase rate, purchase frequency, average order value, cross-sell, replenishment, retention, and win-back performance.
• Oversee email and lifecycle marketing quality, segmentation, deliverability, revenue contribution, and customer communication accuracy.

Paid Advertising and Conversion

• Oversee paid media strategy, budget pacing, campaign structure, audience strategy, creative testing, attribution, and landing-page performance.
• Establish clear testing, scaling, optimization, and stop-loss rules, and require decisions to be supported by sufficient data and financial context.
• Review performance at the channel, campaign, audience, creative, product, and cohort levels.
• Partner with the Web Developer on Shopify priorities, site performance, conversion rate optimization, tracking, and quality assurance.

Agency and Vendor Management

• Directly manage marketing agencies across Meta, Google, email, and AEO, including scopes of work, deliverables, timelines, communication standards, SLAs, KPIs, reporting, ownership, and escalation procedures.
• Use agency scorecards and recurring performance reviews to track KPI attainment, SLA compliance, output quality, timeliness, efficiency, and business results.
• Require root-cause analysis and time-bound corrective action plans for missed targets, SLA breaches, quality issues, reporting gaps, or inefficient spend.
• Independently validate agency recommendations and recommend contract expansion, renegotiation, reduction, replacement, or termination when appropriate.
• Ensure Starbond retains access to and ownership of advertising accounts, data, dashboards, creative files, documentation, and intellectual property.

Content, Creative, and Brand

• Maintain an active content and creative pipeline supported by clear briefs, owners, deadlines, QA standards, and success metrics.
• Ensure reliable content-production support is available when external resources are required.
• Create a structured process for testing creative concepts, hooks, formats, messages, offers, and calls to action.
• Protect product positioning and perceived value by avoiding excessive reliance on discounting and ensuring marketing claims are accurate and supportable.
• Ensure approved assets are properly named, organized, and stored in company-owned systems.

Team Leadership, Process, and Reporting

• Lead the internal Marketing team by setting clear responsibilities, deadlines, quality standards, KPIs, communication expectations, and individual performance targets.
• Conduct regular coaching, one-on-ones, performance reviews, and accountability conversations; identify skill gaps and coordinate development or corrective action with HR.
• Make timely recommendations regarding training, role clarity, workload changes, reassignment, or other performance actions when standards are not met.
• Create and maintain marketing processes, approval flows, reporting definitions, campaign documentation, and quality-control systems.
• Maintain a weekly marketing scorecard that distinguishes leading and lagging indicators and explains what changed, why it changed, and what action is required.
• Proactively escalate material risks and present concise, financially grounded recommendations to the CEO.

What Success Looks Like

• Marketing data, forecasts, campaign reports, creative briefs, and recommendations are accurate, validated, and financially grounded.
• Campaigns, agency deliverables, reports, corrective actions, and launches are completed on time, with blockers escalated early.CAC, LTV, LTV:CAC, MER, ROAS, contribution margin, retention, and cohort performance are consistently defined and used to guide decisions.
• Marketing investment produces profitable customer growth, stronger retention, faster learning, higher-quality execution, and stronger brand protection.
• The Marketing team and external agencies operate with clear ownership, measurable standards, and consistent accountability.

What We’re Looking For

• Proven experience leading DTC or e-commerce marketing across paid acquisition, retention, lifecycle marketing, content, and conversion optimization.
• Strong working knowledge of CAC, LTV, LTV:CAC, MER, ROAS, contribution margin, retention, cohort analysis, and marketing attribution.
• Experience managing Meta Ads, Google Ads, email marketing, SEO, AEO, Shopify, and agency partners.
• Demonstrated ability to manage budgets and make channel decisions based on profitability and customer quality.
• Experience leading and developing marketing team members, setting KPIs, and managing performance.
• Strong analytical judgment with the ability to challenge assumptions, validate agency recommendations, and translate data into clear actions.
• Excellent written and verbal communication, with a proactive and concise reporting style.
• Highly organized, accountable, and comfortable working in a remote, fast-moving environment.

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/

Sr.Data Scientist,Python, AI ML

We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and generate actionable insights that support business decisions. The ideal candidate should have strong statistical, analytical, and programming skills, along with hands-on experience in machine learning.

About the Role

Antier Solutions is looking for a mature, highly capable, and comprehensive Marketing Manager to lead our global marketing department.

In this role, you will act as the anchor and orchestrator for our entire marketing ecosystem. You will be directly responsible for managing, mentoring, and scaling a diverse in-house team of Content Writers, Social Media Marketers (SMM), Performance Marketers (PPC), Community Managers, and SEO Specialists.

We need a leader who can take broad business goals from the leadership team and translate them into actionable, high-yielding marketing campaigns. The ideal candidate must possess the unique ability to manage both creative minds (Writers/Designers) and data-driven analytical profiles (PPC/SEO), aligning them to drive predictable inbound leads.

Prior experience in high-performance IT services or B2B tech companies is highly preferred.

Key Responsibilities

1. Team Leadership, Workflows & Resource Management

Cross-Functional Alignment: Oversee the daily operations of all marketing sub-departments (Content, SMM, PPC, SEO, and Community). Break down departmental silos to ensure smooth, agile collaboration.

Process Standardization: Design and enforce structured workflows using internal project management tools. Establish clear KPIs, content delivery calendars, and campaign turnaround timelines (SLAs).

Resource Optimization: Manage internal team bandwidth effectively. Balance the workload of writers and designers to ensure high-quality output without execution bottlenecks.

2. End-to-End Inbound Strategy & Lead Generation

Campaign Architecture: Design, execute, and monitor comprehensive multi-channel inbound marketing strategies tailored for global enterprise clients (B2B).

Funnel Optimization: Take ownership of the marketing automation tech stack to build lead-scoring models, behavioral email nurturing, and landing page optimization.

Paid & Organic Balance: Supervise paid acquisition strategies (Google Ads, LinkedIn Ads, Meta Ads) managed by the PPC team, ensuring they complement the long-term organic growth driven by the SEO and Content teams.

3. Core Marketing Operations (Budgeting & Analysis)

Budget ROI Allocation: Plan, allocate, and manage the monthly and quarterly marketing budget across paid ads, software tools, and external resources, ensuring minimum leakage and maximum ROI.

Competitor & Market Intelligence: Conduct ongoing competitor mapping and trend analysis in the tech service sector to keep Antier's positioning ahead of the market.

Vendor & Agency Management: Evaluate and manage relationships with external vendors, freelance creators, or PR agencies when scaling requires outsourcing.

4. Brand Governance & Community Advocacy

Unified Brand Voice: Act as the ultimate gatekeeper for Antier's global brand identity. Ensure that everything-from a 2-line tweet by SMM to a 2000-word whitepaper by the content team-maintains absolute professional consistency.

Community Engagement: Guide the Community Managers to design retention and engagement strategies that turn users/followers into active brand advocates.

5. Analytics & Leadership Reporting

Data Consolidation: Build and maintain unified tracking dashboards (using GA4, CRM data, and platform metrics) to get a clear picture of marketing performance.

Executive Reviews: Present deeply analytical weekly and monthly reports to the Management, focusing on metrics like Customer Acquisition Cost (CAC), pipeline velocity, and conversion rates.

Tech Innovation & AI Automation

While this is a core team-leadership and strategic role, the candidate must have a sharp eye for modern tech depth. The ideal candidate should have hands-on experience or deep workflow knowledge of AI automation via AI Agents to eliminate and automate repetitive tasks across marketing functions. This includes leveraging technology to optimize the writing team's research speed, scaling creative asset variations for SMM/PPC, running automated report compilation, and setting up automated conversational bots to triage inbound traffic within our community channels effectively.

Required Profile & Core Competencies

Experience Matrix: 8-12 years in B2B/IT Services or SaaS marketing, showing a clear career progression from an execution specialist to a Manager.

Domain Fluency: Must be able to speak the language of all sub-departments fluently. You should be able to critique ad copies with writers, discuss CPA/Quality Scores with PPC, analyze Core Web Vitals with SEO, and review engagement strategies with Community Managers.

Problem-Solving & Crisis Management: Ability to handle sudden dips in traffic/leads or manage PR/social media crises with calm, structured communication.

Tools Knowledge: Advanced proficiency with CRM & Automation hubs (HubSpot/Marketo), Analytics (GA4/Google Search Console), and collaboration tools.

Soft Skills: High emotional intelligence (EQ), leadership capability to manage diverse creative/technical teams, and exceptional written and verbal English communication.

Help new products find their first customers in the US, and teach our systems how you do it.

Daemon Ventures is a US technology company that builds and runs internet businesses with a very small team and heavy use of AI. We are looking for a growth lead who has personally taken products from zero to their first paying customers in the US market.

What you'll do

- Review how each new business goes to market: the plan, the actual ads, landing pages, emails and sign-up flow, and the numbers that come back. Say clearly what to change, and why.

- Diagnose. When a number is bad, work out whether the problem is the audience, the offer, the page or the channel, and what to try next.

- Turn what works into repeatable playbooks, so every future launch starts from what the last one learned.

- Bring in specialists (search, outbound, paid social, communities, marketplaces) when a problem needs deep craft, and judge their work.

Who you are

- Senior and hands-on. 6–10 years in growth or marketing, at least 3 of them personally acquiring US customers for a software product, an app or an online business. You ran the channels yourself, not only through agencies or a team.

- Taken a product from near zero to real US traction, with numbers you can show.

- A diagnostician. You can read a funnel and find the leak, and you think in experiments. You read results honestly, including when the answer is "this channel doesn't work for this product."

- A clear writer. You explain your reasoning so that others can act on it.

- Energized by working alongside AI. Most execution here is automated; your judgment is what makes it better.

Details

- Full-time and remote within India, engaged as an independent contractor.

- ₹45–55 LPA based on experience, plus equity.

- Process:

1. A short application with a 20-minute exercise.
2. A conversation with the founder.
3. A second conversation.

To apply: https://docs.google.com/forms/d/e/1FAIpQLSdB-KJIUnkbNbXWCdqJmTEFGbHglT5_2wqIcsVPN_QKaQTG1A/viewform

The application includes the exercise. Please don't send a CV alone.

About VerbaFlo.ai:

VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.

Role Overview:

We are seeking a Senior Business Data Analyst with strong experience in analytics, SQL, and dashboarding (preferably Metabase) who can independently lead complex analytical initiatives, translate business problems into scalable data solutions, and mentor junior analysts. This role demands someone who can think strategically, operate with high ownership, and ensure the company runs on accurate, timely, and actionable insights.

Responsibilities:

Strategic & Cross-Functional Ownership

• Partner with leadership (Product, Ops, Growth, Finance) to translate business goals into analytical frameworks, KPIs, and measurable outcomes.
• Influence strategic decisions by providing data-driven recommendations, forecasting, and scenario modeling.
• Drive adoption of data-first practices across teams and proactively identify high-impact opportunity areas.

Analytics & Dashboarding

• Own end-to-end development of dashboards and analytics systems in Metabase (or similar BI tools).
• Build scalable KPI frameworks, business reports, and automated insights to support day-to-day and long-term decision-making.
• Ensure data availability, accuracy, and reliability across reporting layers.

Advanced Data Analysis

• Write, optimize, and review complex SQL queries for deep-dives, cohort analysis, funnel performance, and product/operations diagnostics.
• Conduct root-cause analysis, hypothesis testing, and generate actionable insights with clear recommendations.

Data Infrastructure Collaboration

• Work closely with engineering/data teams to define data requirements, improve data models, and support robust pipelines.
• Identify data quality issues, define fixes, and ensure consistency across systems and sources.

Leadership & Process Excellence

• Mentor junior analysts, review their work, and establish best practices across analytics.
• Standardize reporting processes, create documentation, and improve analytical efficiency.

Core Requirements:

• 5–8 years of experience as a Business Analyst, Data Analyst, Product Analyst, or similar role in a fast-paced environment.
• Strong proficiency in SQL, relational databases, and building scalable dashboards (Metabase preferred)
• Demonstrated experience in converting raw data into structured analysis, insights, and business recommendations.
• Strong understanding of product funnels, operational metrics, and business workflows.
• Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
• Proven track record of independently driving cross-functional initiatives from problem definition to execution.
• Experience with Python, Git, or BI tools like Looker/Power BI/Tableau.
• Hands-on with data warehouses (BigQuery, Redshift, Snowflake).
• Familiarity with product analytics tools (Mixpanel, GA4, Amplitude).
• Exposure to forecasting, financial modeling, or experimentation (A/B testing).

Why Join Us?

• Work directly with top leadership in a high-impact role.
• Be part of an innovative and fast-growing AI startup.
• Opportunity to take ownership of key projects and drive efficiency.
• A collaborative, ambitious, and fast-paced work environment.
• Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.

If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!

Apply now to join VerbaFlo.AI on this journey.

We’re looking for a dynamic and driven Data Analyst to join our team of technology enthusiasts. This role is crucial in transforming data into insights that support strategic decision-making and innovation within the insurance technology (InsurTech) space. If you’re passionate about working with data, understanding systems, and delivering value through analytics, we’d love to hear from you.

What We’re Looking For

• Proven experience working as a Data Analyst or in a similar analytical role
• 5+ Years of experience in the field
• Strong command of SQL for querying and manipulating relational databases
• Experience with Power BI for building impactful dashboards and reports
• Familiarity with QlikView and Qlik Sense is a plus
• Ability to communicate findings clearly to technical and non-technical stakeholders
• Knowledge of Python or R for data manipulation is nice to have
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Understanding of the insurance industry or InsurTech is a strong advantage

What You’ll Be Doing:

• Delivering timely and insightful reports to support strategic decision-making
• Working extensively with Policy Administration System (PAS) data to uncover patterns and trends
• Ensuring data accuracy and consistency across reports and systems
• Collaborating with clients, underwriters, and brokers to translate business needs into data solutions
• Organizing and structuring datasets, contributing to data engineering workflows and pipelines
• Producing analytics to support business development and market strategy