138 Ab Testing Jobs - Page 6

Position Overview: About this role: This role will provide critical insights from our A/B Testing program to business partners. You will also have your fingers on the pulse of the business and develop metrics and reporting to keep the organization informed. Through your high-quality analysis and attention to detail, you will be the go-to person for experimentation(A/B test) analytics and insights. The ideal candidate is highly motivated and will use their technical skills and business acumen to quickly make an impact! About this Team: Analytics team is responsible for generating actionable insights & analyses for the business, AB testing, data driven decision making and supporting Product, Marketing & Finance teams to create significant impact for our users & business. We also work very closely with Business Intelligence, Data Engineering & Software Engineering teams to advance our data infrastructure. We have a cutting edge AB Testing program, automations and advanced data tools to deliver high quality analyses very efficiently. Company Overview: BOLD is an established and fast-growing product company that transforms work lives. Since 2005, weve helped more than 10,000,000 folks from all over America (and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry. Key Responsibilities: Conduct in-depth A/B test analysis to uncover opportunities for improving our products. Ensure data quality/accuracy in our A/B test reports. Develop new A/B Test reports and improve the existing ones. Present your A/B Test insights and recommendations to business leaders. Provide support to other analysts in their A/B test analysis/insights. Required skills: 2+ years’ experience performing quantitative data analysis on A/B tests, preferably for an internet or technology company. Expertise in managing large Google Sheets (querying, other advanced aspects). Excellent written and verbal communication skills, especially around complex project areas. Impeccable attention to detail and data accuracy Ability to write complex SQL queries to drive critical business decisions and reports. Robust understanding of Statistics with ability to explain statistical concepts to non-technical audiences. Bachelors or Masters’ degree in Math, Engineering, Statistics or other quantitative field, with a track record of academic excellence. Self-starter with a desire to learn and the ability to rapidly understand the business and its drivers. Ability to handle multiple projects and meet deadlines in a fast-paced environment. Additional skills (Good to have): Proficiency with BI tools such as Tableau, Looker, or equivalent. Proficiency in Python/R. Experience with Google Analytics, MixPanel or other front-end analytical platforms. Experience with building machine learning/predictive models. Qualifications: Engineering/ Master’s Degree from a good Institute (preferably Computer Science or related) Experience required: Product Data Analyst: 2 years+ of experience performing quantitative data analysis on A/B Tests Location: Noida (Hybrid working model)

About The Role : Job Title: AI Lead , VP LocationPune, India Role Description Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes: Planning and developing entire engineering solutions to accomplish business goals Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Proven ability to design, build, and deploy end-to-end AI/ML systems in production. Expertise in data science , including statistical analysis, experimentation, and data storytelling. Experienced in working with large-scale, real-world datasets for model training and analysis. Comfortable navigating urgency, ambiguity, and fast-changing priorities . Skilled at solving complex ML problems independently , from idea to implementation. Strong leadership experience building and guiding high-performing AI teams . Hands-on with deep learning, NLP, LLMs , and classical ML techniques. Fluent in model experimentation, tuning, optimisation , and evaluation at scale. Solid software engineering background and comfort working with data and full-stack teams . Experience with cloud platforms (GCP, AWS, Azure) and production-grade ML pipelines. Bias for action willing to jump into code, data, or ops to ship impactful AI products . Your skills and experience PhD in Computer Science, Data Science, Machine Learning, AI, or a related field. Strong programming skills in Python (preferred), with experience in Java, Scala, or Go a plus. Deep expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with large-scale datasets , distributed data processing (e.g. Spark, Beam, Airflow). Solid foundation in data science statistical modeling, A/B testing, time series, and experimentation. Proficient in NLP, deep learning , and working with transformer-based LLMs . Experience with MLOps practices CI/CD, model serving, monitoring, and lifecycle management. Hands-on with cloud platforms (GCP, AWS, Azure) and tools like Vertex AI, SageMaker, or Databricks. Strong grasp of API design , system integration, and delivering AI features in full-stack products. Comfortable working with SQL/NoSQL , and data warehouses like BigQuery or Snowflake. Familiar with ethical AI, model explainability , and secure, privacy-aware AI development How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

About the Company: Established in 1968, VIP is amongst the worlds leading manufacturers and retailers of luggage, backpacks and handbags. With a legacy built over the years, we take pride in launching market-leading brands, including our flagship brand 'VIP’, which has become synonymous with the luggage category in India. Our brands reflect our commitment to understanding consumer preferences and driving quality and innovation that meets their expectations. Our operational success is attributed to our stellar brand portfolio, state-of-the-art manufacturing plants in India and Bangladesh, and a robust distribution network that ensures easy accessibility to our products. Through our diverse portfolio of brands, we cater to a wide range of consumers with varying needs and preferences. Whether it’s the stylish and youthful offerings of Skybags or the premium and sophisticated designs of Carlton, range of chic and fashionable handbags designed for the modern woman, the high-quality, and highly functional flagship brand of VIP Industries to durable and practical luggage solutions at an affordable price point by Aristocrat. We have a solution for every traveller be it everyday travel, business trips, or outdoor adventures. VIP Industries Limited is an equal opportunity employer. We value talent and believe everyone deserves the opportunity to succeed. We value the diversity of our workforce and the unique perspectives that each one of us brings, and are committed to creating an inclusive environment for all. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and allow for equal opportunities for all our team members. Role & responsibilities Performance Analysis: Monitor and interpret key website metrics to inform strategic decisions UI/UX Optimization: Collaborate with design teams to suggest and implement user-centric improvements A/B Testing: Design and oversee experiments to validate feature enhancements and user flows. Cross-Functional Collaboration: Serve as the liaison between business stakeholders and technical teams to ensure cohesive product development. Preferred candidate profile Proficiency in data analysis, user experience principles, and agile methodologies A team player with proven ability to collaborate with functional and cross functional teams Strong communication skills, agility and commitment to drive success for the entire team

What is this role about? Assistant Manager/Manager, Product-led Growth (PLG) will drive the user acquisition, engagement, retention, and growth for McGraw Hill digital learning products by leveraging product-led growth strategies. Reporting into Associate Director, Digital Solutions and Demand Generation, this role is pivotal in executing the growth plans for McGraw Hill Indias Digital Test Preparation business. This person will work closely with the product manager(s) and members from the technology and engineering, content and demand generation teams to identify and execute the ROI-driven PLG for digital learning products, in alignment with overall business strategy. The role requires blend of product thinking, marketing acumen, understanding of consumer psychology and data analytics. What you will be doing: 1. SCALE USER ACQUISITION Design and execute flows to scale organic user acquisition through product driven interventions like onboarding optimizations, trial experiences, referral programs, gamifications, etc. Boost product discoverability and new user traffic by creating and executing comprehensive on-page and off-page SEO plans, app store optimizations, search engine and GenAI indexing optimizations. Partner with Demand Generation team to ensure alignment between marketing efforts and PLG initiatives. 2. DRIVE USER ENGAGEMENT Identify and map user personas for target consumer segments and work on strategies to increase user engagement with the product using push notifications, email sequences, WhatsApp campaigns and gamified experiences, etc. Analyse consumption data for key product offerings to feed consumer behaviour insights into content strategy. Create channels to capture user feedback and develop insights from them to feed into the overall product roadmap. 3. USER RETENTION AND GROWTH Drive free-to-paid conversion funnel through targeted interventions. Utilize product-driven levers to up-sell and cross-sell premium products to existing users. Optimize the free-to-paid user journey, ensuring seamless transitions with compelling in-app messaging, offers, and personalized nudges. Optimize pricing strategies and freemium models to improve overall paid users funnel and ARPU(Avg Revenue per user). Collaborate with product team to identify core value propositions of premium offerings around which targeted campaigns can be planned and executed. 4. PRODUCT DATA ANALYTICS Use data to track and improve performance of product-led growth initiatives. Own the analytics and reporting of product usage, user growth, engagement, and retention metrices. Conduct in-depth analysis of user behaviour to identify opportunities for feature enhancements and product market fitment gaps. 5. EXPERIMENTATIONS AND A/B TESTING Run continuous growth experiments and A/B tests on product features, messaging, and growth campaigns. Iterate based on user behaviour insights, user feedback, and consumption data analytics. Work with Product and Engineering team to implement user flows that support P What you need to be considered: 2-3 years of experience in driving product-led growth, particularly in B2C models. Deep understanding of product design principles, user experience (UX), user interface (UI). Understanding of technology and latest trends, especially for their applications in education sector. Knowledge of SEO strategies and tools to execute them. Familiarity with product funnels, user journey mapping, and conversion strategies. Experience of A/B testing on features and campaigns, conversion rate optimization and user retention techniques. Strong analytical and problem-solving skills. Excellent written and verbal communication skills.

Role & responsibilities Performance Analysis: Monitor and interpret key website metrics to inform strategic decisions UI/UX Optimization: Collaborate with design teams to suggest and implement user-centric improvements A/B Testing: Design and oversee experiments to validate feature enhancements and user flows. Cross-Functional Collaboration: Serve as the liaison between business stakeholders and technical teams to ensure cohesive product development. Preferred candidate profile Proficiency in data analysis, user experience principles, and agile methodologies A team player with proven ability to collaborate with functional and cross functional teams Strong communication skills, agility and commitment to drive success for the entire team

Drive User Experience vision & strategy, collaborating with empowered product teams to design UX solutions that align with business objectives. Spearhead the creation of Experience-led vision, and create design assets to bring this vision to life for the organization Lead cross-functional workshops and exercises for Product teams and stakeholders to understand users, clarify the problem to solve, and brainstorm innovative solutions anchored in human-centered design. Advocate for user-centered design best practices within product development. An expert and evangelist for all things user-centered design. Partner with Product and Engineering leaders across the organization Provide user research expertise and execution across products in a cross-functional environment, including conducting research using qualitative and quantitative methods across the product lifecycle to generate actionable insights. Connects the entire Product Engineering team with users through presentations of user research results and behavioral analytics Provide guidance and direction for key UX core activities such as Design System development Create strategic design deliverables such as strategy decks, customer journeys, visions of future experiences and evangelize these cross-product blueprints” across teams Actively engage in hands-on Experience craft modeling by deep participation in projects Builds and maintains a framework for establishing and assessing design quality Connect design with business value Work with design, research, program management, and product leaders on process for product development Play lead UX role across multiple products, guiding and mentoring multi-disciplinary UX team members. Collaborate with cross-functional empowered product teams, applying lean UX methods, and define success metrics and ensure alignment between UX outcomes and business goals. Develop systematic approaches to collecting, sharing, and communicating research insights with product teams to inform product strategy and design improvements, inspiring action across product teams Drive insight studies related to the discovery and understanding of unresolved interface problems and needs and lead design thinking workshops to create innovative, impactful, and valuable solutions Create lean UX-based target customer strategies, personas, journeys, and research, validating hypotheses through surveys, focus groups, and prototype testing to realize business ROIs by focusing on customer metrics Measure and drive user experience KPIs, ensuring high standards of user-centered design and rapid iteration for stakeholder and user satisfaction. Act as a thought leader, driving innovation and removing roadblocks for experience teams to deliver groundbreaking solutions. Oversee capability growth and staff management, developing talent strategies and cultural priorities to advance experience capabilities. Stay current with trends, best practices, and methodologies in areas of UX, information architecture, UI design, behavioral analytics, and user research. Drive programs that enhance user experience and brand consistency using modern intelligence (e.g., GenAI) to achieve business goals. Develop talent strategies, recruit, coach, and mentor multi-disciplinary Experience team, aligning with lean UX principles and business goals. Key Qualifications: Overall 15+ years of experience Expert User Experience Leader and Practitioner with 8-15 years of leading holistic customer / user experiences for multiple products, demonstrating measurable customer adoption and success metrics. Master of User Experience craft, fostering a culture of learning and innovation, and recognized as an expert in modern UX Design and Research Effective mentor with strong leadership skills, inspiring self-development and continuous learning in junior practitioners. Expert analytical and problem-solving skills, with a detail-oriented, organized, experimental, and visionary approach. Strategic systems thinker Expert in all things user-centered design (UCD), including user research, A/B testing, rapid prototyping, heuristic analysis, addressing usability, accessibility, etc. Experienced in creating reusable design frameworks (e.g., Design Systems) to streamline design-to-implementation processes Highly experienced in developing creative, strategic research plans that seamlessly connect big-picture thinking with detailed execution. Humble, curious, and value-oriented, understanding the iterative nature of product development and favoring action and learning over exhaustive upfront planning. Inspirational player-coach, capable of leading teams through transformation and playing an active role as a product experience leader. Skilled in using rapid experimentation to develop lean and simple solutions that address customer needs efficiently and effectively. Experienced with lean UX tools such as Figma, Adobe CC, Sketch, Axure, InVision, and more. Bachelor’s degree in design, psychology, cognitive science or related field; Advanced degree is a plus. Exceptional communication, collaboration, and leadership skills, with the ability to influence at all levels. Experience in DesignOps is a plus. A strong portfolio or samples of work demonstrating experience in UX skills is required.

immediate joiners only. Please prioritize customer service profiles with certification in digital marketing or interest in switching to digital marketing with basic knowledge . LMS Support Consultant - Ads Email - Vendor Onboarding Skills Outline

About The Role We are seeking a skilled Segmentation Specialist proficient in Adobe Analytics, Adobe Experience Cloud and CDP to join our innovative marketing team. The Segmentation Specialist will be instrumental in leveraging these platforms to develop and execute advanced segmentation strategies aimed at optimizing customer engagement and driving business growth. The ideal candidate should possess a deep understanding of Adobe Analytics capabilities, strong analytical skills, and the ability to translate data insights into actionable segmentation strategies. The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Roles and responsibilities: Utilize Adobe Analytics and Adobe Experience Cloud to develop comprehensive customer segmentation strategies based on behavioral, demographic, and psychographic data. Collaborate closely with marketing, sales, and product teams to understand business objectives and translate them into effective segmentation tactics. Analyze and interpret complex data sets using Adobe Analytics to uncover actionable insights and trends related to customer behavior and engagement. Design and implement A/B testing and multivariate testing strategies within Adobe Experience Cloud to optimize segmentation effectiveness. Monitor key performance indicators (KPIs) related to segmentation performance, providing regular reports and insights to stakeholders. Continuously optimize segmentation models and strategies based on performance metrics and industry best practices. Ensure data integrity and accuracy within Adobe Analytics and Adobe Experience Cloud, working closely with data analytics teams as needed. Technical and Functional Skills: Bachelors degree in Marketing, Business Administration, Statistics, or a related field, Masters degree preferred with 4+ years of work experience with Adobe Analytics and Adobe Experience Cloud in a segmentation or analytics role. Proficient in using Adobe Analytics tools such as Analysis Workspace, Report Builder, and Data Workbench. Strong understanding of digital marketing concepts and methodologies, including segmentation, targeting, and personalization. Advanced analytical skills with the ability to interpret complex data sets and derive actionable insights. Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders. Ability to work independently and collaboratively in a fast-paced environment, managing multiple projects and priorities. Experience with A/B testing, multivariate testing, and optimization techniques within Adobe Experience Cloud is highly desirable. Knowledge of data privacy regulations (e.g., GDPR, CCPA) and their implications for data handling and segmentation practices. Banking and Financial domain experience will be preferred.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech / BE / BSc / MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge- Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment- Hive, Presto is a plus Experience in Python/R

About Guidesly: Do you enjoy the Outdoors? Are you an enthusiast who wants to work in a place where you can follow your personal and professional passions? Guidesly is a well-funded startup building software for the Outdoor industry. Mobile apps, SaaS software, product services, and websites; we have a bit of everything. Sophisticated technology and a dream to change the world. If your passion is the outdoors and you want to live your dream, then this is your job. Work with guides, build products, get honest feedback from enthusiasts to create the very best solutions in the marketplace. The outdoor recreation industry includes fishing, wildlife, boating, water sports, snow sports, hunting, ATV, hiking, and biking. We are starting with the fishing vertical in the outdoor recreation industry. The product manager will work with professional guides throughout the United States and enthusiasts in all fishing varieties. Key Responsibilities: Heap Implementation & Management. Own end-to-end management of Heap: event tracking, custom properties, naming conventions, and data governance. Partner with product and engineering to ensure consistent and accurate instrumentation across platforms (web/app). Continuously audit and optimize tracking to ensure data cleanliness and trust. Data Analysis & Insights Analyze user behavior to identify friction points, drop-offs, and opportunities to improve product UX and conversion. Build dashboards, reports, and segments to track feature adoption, funnels, cohort behavior, and retention. Drive experimentation and A/B testing strategy, partnering closely with product managers and designers. Strategic Impact Translate data into actionable recommendations that influence product roadmap, marketing strategies, and go-to-market decisions. Support OKR tracking with real-time dashboards and periodic reporting. Required Skills & Qualifications: Heap Analytics Strong experience setting up and using Heap for tracking and analysis Event Tracking Knows how to create, manage, and clean up event data SQL Can write queries to get answers from raw data Data Dashboards Can build clear reports using tools like Heap A/B Testing Understands how to run experiments and interpret results Key skills: Heap Analytics, SQL, Data Dashboard, A/B Testing.

We're looking for a sharp, data-driven Performance Marketing Specialist to join our in-house team. This on-site role requires someone who thrives on numbers, understands creative performance, and has the clarity to build high-converting journeys from ad click to checkout. You'll be responsible for managing paid marketing campaigns across Meta, Google, and other performance channels with the goal of driving measurable ROI. Key Responsibilities: Plan, launch, and optimize ad campaigns across Meta Ads, Google Ads (Search, Shopping, Display, YouTube), and more. Analyze performance metrics ( ROAS, CTR, CPA , etc.) to make data-backed optimizations. Develop creative concepts and write ad copies independently to minimize dependency on the content team. Coordinate with the design team to produce visuals based on strong creative briefs. Structure and ideate high-conversion landing pages. Manage GA4, Google Tag Manager, Pixel tracking. Leverage CRO techniques to improve campaign performance and user experience. Conduct A/B testing and audience targeting experiments. Generate reports and actionable insights using analytics tools. Required Skills & Qualifications: 2+ years of performance marketing experience ( e-commerce preferred ). Proficiency in Meta Ads Manager, Google Ads, automation and retargeting strategies. Strong knowledge of GA4 , Google Tag Manager and Pixel tracking. Excellent visualization skills to conceptualize static/video creatives. Expertise in conversion rate optimization (CRO) and data-driven decision-making. Strong written communication for crafting ad copies. Proficiency in budget planning, bid strategy optimization, and audience segmentation. Analytical mindset with a focus on campaign ROI and conversion funnels. Experience with tools like Google Sheets/Excel, Microsoft Clarity, Hotjar, or similar. Nice to Have: Certification in Google Ads/Facebook Blueprint is a plus. Prior experience in a product-based D2C brand is preferred. What We Offer: A dynamic and collaborative work environment. Competitive salary + performance-based incentives (TBD post skill assessment and interview). Opportunities for career growth and professional development. Exposure to exciting projects and campaigns in the e-commerce space. Get surrounded with the latest and greatest in Mobile tech. Location: Poonamallee High Road, Purasaiwalkam. Near Egmore Suburban and Metro Station. Google Map Location: https://goo.gl/maps/pAFQLEtsjdwjP3fe7

Job Summary: We are looking for a highly motivated and skilled Assistant Manager with strong experience in Data Analysis domain to join our growing team with demonstrated experience in handling large data sets and relational databases. Job Responsibilities: Demonstrate strong analytical and statistical skills towards taking complex business problems, wide variety of quantitative data, and provide structured and data-supported practical solutions towards optimizing shipping problems. Serve as a trusted partner to business units, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success. Ability to interpret complex data sets with the Strong Problem-solving skills. High level of attention to detail to ensure accuracy in data analysis and documentation. Proven track record of using analytics to drive significant business impact, creating deep-dives and presenting work efficiently. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into non-technical, lay terms. Required Skills: B.Tech in a quantitative field like Engineering, Computer Science, Mathematics etc. 5+ years of relevant analytics experience - Strong analytical skills with expertise in SQL, and Excel. Proficiency in Python hands-on. A/B testing, very good ability with Quant (prior experience in Business performance analytics roles good to have) Campaign/promo measurement Good communication skills, with experience working in a fast-paced environment with cross-functional teams. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements: Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred