604 Ab Testing Jobs - Page 22

Key Responsibilities: Developing, planning, executing and optimizing email campaigns. Ensuring the accuracy of audience targeting and data. Defining a reporting structure to report and track campaigns. Garnering insights and documenting best practices from previous campaigns so they can continually learn and improve future campaign performance. Ensuring all practices align with GDPR requirements. Assessing, evaluating and troubleshooting CRM/marketing data, tools, and processes. Required Skills: 4-7 years of experience building, optimizing and deploying email campaigns and able to demonstrate impact made. Hands-on experience with email marketing automation software . Evidence of content writing with a clear commercial purpose. Strong analytical skills and the ability to use data to optimise . Working knowledge of HTML is required. Proficiency in HTML is a plus . Knowledge of A/B testing. Understanding control groups and their use in measuring uplift is a plus. Added Advantage: An individual who can work quickly, flexibly and iteratively, always on the lookout for ways to optimize their output against agreed metrics. Someone with a strong capability for analyzing marketing, customer data and campaign data, as well as working with Excel or Looker. Ability to manage multiple projects in a schedule-driven, fast-paced environment with confident written and verbal communication skills. You understand email deliverability and the major factors that determine it. Someone open-minded, collaborative and proactive, as well as comfortable in developing ideas with marketing and across the business and open to new learnings. Perks and benefits: Service recognition awards. Market-leading pay rates Regular social and team-building activities. Maternity & Paternity Benefits Medical Insurance Benefits

Data Scientist Bengaluru/Chennai (Hybrid also possible) Job Description Looking for Data scientists with product analytics and technically skills, hands on development experience in Python, statistical techniques, SQL and basic Data visualization with lot of attention to granular details in data., Self-motivated, team player, with curiosity to learn and grow, exhibiting strong resolve and challenge the status quo, to strive for excellence in everything they do, with good professional and academic track record to be part of a team that deals with most innovative payments processing team that deals transactions at scale. Candidate Requirements Top must-have skills SQL Python Tableau Statistics AB Testing Your way to impact What do you need to bring- Strong 5+ Years of experience in Python and SQL skills with a lot of attention to granular details in data Expertise in stitching together findings to convey coherent insights with statistical significance and analysis Use A/B Testing, analytics, market research, usability studies, and competitive analysis to drive decision making. Exceptional oral and written communication skills Ability to perform deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations and documents Engage in problem solving with the product and various merchant facing teams to determine performance trends and root causes. Support new product launches for merchants by ensuring constant monitoring is in place to track product performance. Partner with varies internal teams to ensure that the merchants analytic needs are well addressed. Create close relationships with stakeholders to anticipate & answer the questions that might be asked both by internal and external parties. Degrees or certifications required.

Job Title: Senior Analyst Job Location: Remote- WFH Base Location- Bangalore Please find the skillsets below and send us quality profiles on regular basis. Headcounts : 1 Must-Have: 8-12 years experience in Data Science, Machine Learning, NLP, LLM, Prompts, A/B Testing, Hypothesis Testing, Python, SQL, PowerBI, Statistical & Descriptive Analysis Good to Have : Google Analytics, Product Metrics (Conversion Rate, Retention, LTV, Unit Economics) Qualification: B.E/ B.Tech or Bsc + Msc Statistics Work mode : Remote Note : Candidates must be willing to work from 4pm/5pm to midnight weekly twice or thrice based on business requirements. Also Hiring Manager for this role sits in Ukraine. Interview Process: Recruiter screening- 30 mins Screening round- 30 mins- India Panel Technical 1- 60 mins- Ukraine Panel Technical 2- 60 mins- US panel Competency round- 60 mins- US panel Value & Fitment round- 30 mins What You'll Do • Collaborate with Product and Analytics leadership to conceive and structure analysis and deliver highly actionable insights from deep dives into specific areas of our business. • Conduct analysis of a tremendous amount of internal & external data to find growth & optimization opportunities for the business. • Package and communicate findings and recommendations to a broad audience (including senior leadership) • Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), build Reporting for understanding trends. • Perform advanced modeling including (NLP, Text mining) would be preferable. • Implement and track business metrics that will help drive the business. • Help determine growth strategy from a marketing and operations perspective. • Responsible/Opportunity to operate in an individual capacity as a lead analyst to understand JA audience and guide informed strategic decisions & executions. What Were Looking For • 8+ years of experience in e-commerce/customer experience products • Proficiency in analysis and business modeling using Excel. • Experience with Google Analytics, BigQuery, Google Ads, PowerBI, and Python / R would be a plus. • Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer. • Expertise in Descriptive Statistical Analysis, Inferential Statistical Analysis • Strong experience in setting up and driving A/B Testing or Hypothesis Testing and analyzing the results. • Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills. • Ability to communicate effectively with all levels of management and partners from a variety of business functions. • Advanced English level • App-related experience would be preferable.

We are seeking a talented and motivated Data Scientist with 1-3 years of experience to join our Data Science team. If you have a strong passion for data science, expertise in machine learning, and experience working with large-scale datasets, we want to hear from you. As a Data Scientist at RevX, you will play a crucial role in developing and implementing machine learning models to drive business impact. You will work closely with teams across data science, engineering, product, and campaign management to build predictive models, optimize algorithms, and deliver actionable insights. Your work will directly influence business strategy, product development, and campaign optimization. Major Responsibilities: Develop and implement machine learning models, particularly neural networks, decision trees, random forests, and XGBoost, to solve complex business problems. Work on deep learning models and other advanced techniques to enhance predictive accuracy and model performance. Analyze and interpret large, complex datasets using Python, SQL, and big data technologies to derive meaningful insights. Collaborate with cross-functional teams to design, build, and deploy end-to-end data science solutions, including data pipelines and model deployment frameworks. Utilize advanced statistical techniques and machine learning methodologies to optimize business strategies and outcomes. Evaluate and improve model performance, calibration, and deployment strategies for real-time applications. Perform clustering, segmentation, and other unsupervised learning techniques to discover patterns in large datasets. Conduct A/B testing and other experimental designs to validate model performance and business strategies. Create and maintain data visualizations and dashboards using tools such as matplotlib, seaborn, Grafana, and Looker to communicate findings. Provide technical expertise in handling big data, data warehousing, and cloud-based platforms like Google Cloud Platform (GCP). Required Experience/Skills: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 1-3 years of experience in data science or machine learning roles. Strong proficiency in Python for machine learning, data analysis, and deep learning applications. Experience in developing, deploying, and monitoring machine learning models, particularly neural networks, and other advanced algorithms. Expertise in handling big data technologies, with experience in tools such as BigQuery and cloud platforms (GCP preferred). Advanced SQL skills for data querying and manipulation from large datasets. Experience in data visualization tools like matplotlib, seaborn, Grafana, and Looker. Strong understanding of A/B testing, statistical tests, experimental design, and methodologies. Experience in clustering, segmentation, and other unsupervised learning techniques. Strong problem-solving skills and the ability to work with complex datasets and machine learning pipelines. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with data warehousing concepts and big data tools. Knowledge of MLOps practices, including model deployment, monitoring, and management. Experience with business intelligence tools and creating data-driven dashboards. Understanding of reinforcement learning, natural language processing (NLP), or other advanced AI techniques. Education: Bachelor of Engineering or similar degree from any reputed University.

Research and Problem-Solving: Identify and frame business problems, conduct exploratory data analysis, and propose innovative data science solutions tailored to business needs. Leadership & Communication: Serve as a technical referent for the research team, driving high-impact, high-visibility initiatives. Effectively communicate complex scientific concepts to senior stakeholders, ensuring insights are actionable for both technical and non-technical audiences. Mentor and develop scientists within the team, fostering growth and technical excellence. Algorithm Development: Design, optimize, and implement advanced machine learning algorithms, including neural networks, ensemble models (XGBoost, random forests), and clustering techniques. End-to-End Project Ownership: Lead the development, deployment, and monitoring of machine learning models and data pipelines for large-scale applications. Model Optimization and Scalability: Focus on optimizing algorithms for performance and scalability, ensuring robust, well-calibrated models suitable for real-time environments. A/B Testing and Validation: Design and execute experiments, including A/B testing, to validate model effectiveness and business impat. Big Data Handling: Leverage tools like BigQuery, advanced SQL, and cloud platforms (e.g., GCP) to process and analyze large datasets. Collaboration and Mentorship: Work closely with engineering, product, and campaign management teams, while mentoring junior data scientists in best practices and advanced techniques. Data Visualization: Create impactful visualizations using tools like matplotlib, seaborn, Looker, and Grafana to communicate insights effectively to stakeholders. Required Experience/Skills 5–8 years of hands-on experience in data science or machine learning roles. 2+ years leading data science projects in AdTech Strong hands-on skills in Advanced Statistics, Machine Learning, and Deep Learning. Demonstrated ability to implement and optimize neural networks and other advanced ML models. Proficiency in Python for developing machine learning models, with a strong grasp of TensorFlow or PyTorch. Expertise handling large datasets using advanced SQL and big data tools like BigQuery In-depth knowledge of MLOps pipelines, from data preprocessing to deployment and monitoring. Strong background in A/B testing, statistical analysis, and experimental design. Proven capability in clustering, segmentation, and unsupervised learning methods. Strong problem-solving and analytical skills with a focus on delivering business value. Education: A Master’s in Data Science, Computer Science, Mathematics, Statistics, or a related field is preferred. A Bachelor's degree with exceptional experience will also be considered.

About Lowes Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe’s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe’s customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in. About the Team The Experimentation Team at Lowe's drives end-to-end A/B testing, ensuring data-backed decisions before full rollouts. This progressive and rapidly growing team is focused on building scalable solutions that enhance decision-making and drive top and bottom line business value along with creating great customer experiences. I. Job Summary: Use the sample functions below to help you fill in the Job Summary box. Use these functions as starting points or create your own. Sample Manager functions to elaborate on : executing direction from leadership, delivering results that align with strategic objectives, communicating critical information to other teams, managing vendor relationships, developing processes that align to organizational goals, specific technical skills required for managing a process. We are seeking an inspiring, technically savvy, data scientist who is passionate about building a best-in-class experimentation platform/program to support our rapidly growing suite of eCommerce products. As a Senior Data Scientist, you will be a key player in driving data-driven decision-making across the organization, collaborating closely with engineering, product, marketing, and other cross-functional teams to deliver insights and products that shape the future of our business. You will also mentor junior data scientists and help to foster a culture of experimentation throughout the organization. II. Roles & Responsibilities: Core Responsibilities: Experimentation Design & Analysis: Support the design and execution of A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to assess the impact of product changes, marketing campaigns, and customer experiences. Develop and implement robust methodologies to measure the effectiveness of business initiatives (e.g., website features, promotions, UI changes, etc.) using experimentation frameworks. Own the end-to-end experimentation pipeline, including hypothesis generation, experimental design, implementation, monitoring, and post-experiment analysis. Identify and mitigate biases in experiment design and results, ensuring statistical rigor and reliability. Advanced Statistical Analysis & Modelling: Conduct advanced statistical analysis (e.g., causal inference, Bayesian analysis, regression modelling) to derive actionable insights from experimentation results. Develop and refine models to predict customer behavior and optimize conversion rates, retention, and other key business metrics. Analyze large-scale datasets and design efficient algorithms to support decision-making in areas like pricing, product recommendations, and personalization. Continuous Improvement & Innovation: Stay current with the latest advancements in data science, statistics, and experimentation methodologies. Propose innovative approaches to enhance the experimentation framework, such as new experimental designs, alternative modelling techniques, or improved metrics. Lead or participate in research to explore new ways of measuring and optimizing the customer journey in a retail/e-commerce setting. III. Years of Experience: 5+ years of professional experience in data science, with at least 2 years focused on experimentation, A/B testing, and causal inference in a retail or e-commerce environment. Proven track record of designing and analyzing large-scale A/B tests and experiments with demonstrable business impact. Strong experience with statistical analysis and modelling techniques, including hypothesis testing, regression analysis, and Bayesian statistics IV. Education Qualification & Certifications (optional) Required Minimum Qualifications : List the education, certification, and work experience for an incumbent in the job. Enter the Minimum Qualifications and Preferred Qualifications as directed, and delete the areas not used. List the education, certification, work experience and skills required to minimally qualify an individual for the job. Ph.D. or master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. V. Skill Set Required Advanced knowledge of statistical methodologies for experiment design, analysis, and causal inference. Expertise in analytics/data software/tools such as Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, scikit-learn). Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and executive leadership. Solid understanding of e-commerce and retail metrics (e.g., conversion rate, customer lifetime value, churn, etc.) and how they relate to experimentation. Secondary Skills (desired) Experience with large-scale e-commerce platforms and digital product development. Familiarity with the advanced causal and inferential analytics Experience with advanced techniques in machine learning or AI that complement experimentation (e.g., recommender systems, predictive modelling). Familiarity with cloud-based platforms (e.g., AWS, Google Cloud, Azure). Experience working in an agile environment and collaborating with cross-functional teams in a fast-paced business setting. Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under state or local law. Lowe’s wishes to maintain appropriate standards and integrity in meeting the requirements of the Information Technology Act’s privacy provisions.

Role: Digital Analytics (Customer Data Platform Expert) Mode of work: Work from Office only Location: Bengaluru (Indiranagar) 315Work Avenue IND1 - Coworking Space Salarpuria Adonis, 648/1/J, Old Madras Rd, Binnamangala, Hoysala Nagar, Indiranagar, Bengaluru, Karnataka 560038 ) Requirements: Experience in handling CDP platforms like Adobe Experience platform/Salesforce or any other CDP platforms in the market. Strong analytical and problem-solving skills to identify trends, patterns, and opportunities for improvement. Excellent communication skills to effectively convey insights and recommendations to stakeholders at all levels. Ability to translate complex data into actionable insights and strategies. Detail-oriented and organized, ensuring data accuracy and consistency. Adaptable and curious, staying up-to-date with the latest CDP features and best practices. Collaborative and team-oriented. Able to work closely with marketing, development, and product teams for data-driven decision-making. Understanding of data privacy regulations, such as GDPR and CCPA, and their impact on data collection and reporting. Advanced knowledge on custom dashboards, audience segmentation and creating custom reports for product & campaign team. Min 3+ Years experience in the field of analytics and CDP platform Interested candidates can share your resume to sai.s29@shriramfinance.in

Strategize, execute, and optimize high-budget Google Ads Proficiency in GTM (Google Tag Manager) Up-to-date knowledge of media buying trends, ad platforms, and algorithm changes

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Right along with Target s distinctive retail brand, we are constantly improving and innovating our digital shopping experience. Are you ready to excel in the fast-changing retail environmentAre you a customer service enthusiast who s curious about the guest and can see the shopping journey through their eyesThen you ll have success on the Digital Strategy & Platform team, whose goal is to offer guests a seamless online shopping experience across our platforms including Target.com and the store network s fulfillment capabilities. Here, you ll collaborate to create and implement the digital strategies that enrich the online experience through the right mix of personalization, simplicity and intuitiveness. Your ideas will support Target in complementing the beloved in-store shopping interaction with a convenient, reliable and instantly gratifying digital experience. Team overview: As Sr Product Manager for Digital , you will be at the forefront of enhancing consumer experiences across our digital ecosystem You will play a crucial role in enhancing consumer experiences by developing and optimizing item and content capabilities that power the guest shopping journey. Your work will focus on improving how products are represented digitally, ensuring high-quality, enriched, and structured content that enables seamless discoverability, engagement, and decision-making. You will lead initiatives that leverage, AI/ML, and GenAI to optimize item and content capabilities, ensuring that guests receive accurate, relevant, and engaging product information. This role will require you to lead the product by identifying key opportunities, strategically collaborate with and influence cross-functional teams across Digital and Enterprise, leverage machine learning, define product - technology strategy and roadmap, work with data sciences and technology teams to build capabilities that drive guest engagement and sales. We are looking for a candidate with strong B2C ecommerce product management experience, particularly in managing and scaling item data, content capabilities, and leveraging emerging AI/ML technologies. You must have experience building data-driven, AI-powered solutions, handling structured and unstructured content, and navigating the challenges of adoption and integration within a complex digital ecosystem. The ideal candidate will have expertise in SEO/SEM strategies, big data processing, A/B testing, and an intense focus on customer experience and business outcomes. Proven experience in setting vision, strategies, roadmap planning, defining, and tracking success metrics, writing, and pitching business cases, and the ability to establish rapport, credibility, and influence in a highly cross-functional, matrixed organization is essential. Product Teams at Target are accountable for delivering business outcomes enabled through technology and analytic products that are easy to use, easily maintained, and highly reliable. Role overview : As a Sr Product Manager , you will work in the product model and will partner to develop a comprehensive product strategy, related roadmap, and set key business objectives (OKRs) for your respective product. You will need to leverage the knowledge of your product, as well as customer feedback and establish other relevant data points to assess value, develop business cases, and prioritize the direction and desired outcomes for your product. You will lead a product and work in unison with engineers, UX designers, data scientists and business partners to deliver a product. You will be the voice of the product to key stakeholders to ensure that their needs are met, and that the product team is getting the direction and support that it needs to be successful. You will develop and actively understand the market, maintain a product roadmap and backlog outlining the customer themes, epics, and stories while prioritizing the backlog to focus on the highest impact work for your team and stakeholders. You will encourage the open exchange of information and viewpoints, as well as inspire others to achieve challenging goals and high standards of performance while committing to the organization's direction. You will foster sense of urgency to achieve goals and leverage resources to overcome unexpected obstacles, and partner with product teams across the organization to help them achieve their goals while pursuing and completing yours. Job duties may change at any time due to business needs. About you 4-year college degree (or equivalent experience) 9+ years of retail experience or equivalent domain experience with at least 6+ years in B2C ecommerce Product Management, building capabilities and driving top of the funnel customer experience Proven experience working on strategies & execution in optimizing guest-generated content to enhance product trust, drive engagement, and increase conversion rates with a focus on elevating the overall customer experience Demonstrable experience working on big data problems, leveraging machine learning, putting together product vision & strategy, writing & pitching business case and experience in SEO/SEM, A/B tests. Experience working on back-end (services) & Frontend Top of Funnel Experience Strong communication & influencing skills with proven ability to lead & influence highly cross functional, matrix organization across geographies. Experience working in an agile environment (e.g., user stories, personas, iterative development, scrum teams) Useful Links: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

Job Information Job Opening ID ZR_2068_JOB Date Opened 28/11/2023 Industry Technology Job Type Work Experience 5-8 years Job Title Adobe Target Developer City Pune City Province Maharashtra Country India Postal Code 411001 Number of Positions 4 Work modeHybrid Key Responsibilities and Duties: Deliver against the website optimization and customized experience strategies across the website and other touch points. Configure, administer, and operate Adobe Target to build Multi-channel campaigns Debug, troubleshoot, and fix the configuration and integration issues. Partner with the analytics teams on measurement across customized site experiences Diagnose and troubleshoot technical issues related to delivering custom site experiences Communicate and partner with upstream and downstream teams regarding the execution against the desired testing strategy Drive technical effort working with IT partners, site management and creative to ensure timely execution of testing and/or personalization cadence Develop JavaScript, CSS, and HTMLQualifications/:- Minimum 5-7 years of experience working Adobe Target 3+ years working with A/B testing and site personalization efforts, preferably leveraging Adobe Target as a platform Working experience in HTML, Java script and CSS check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

4+yrs Data science,ML frameworks,MLOps, Python, Data engineering,Cloud platforms,Edge computing,Data manipulation libraries,Model development,Object,Experiment, design,Ab testing. Reach me at mailcv108@gmail.com or WhatsApp me at +91 9611702105

Role & responsibilities Experience working as an ETL developer in a Data Engineering, Data Warehousing or Business Intelligence team Understanding of data integration/data engineering architecture and should be aware of ETL standards, methodologies, guidelines and techniques Hands on with python programming language and its packages like Pandas, NumPy Strong understanding of SQL queries, aggregate functions, Complex joins and performance tuning Should have good exposure of Databases like Snowflake/SQL Server/Oracle/PostgreSQL (any one of these) Broad understanding of data warehousing and dimensional modelling concepts Preferred candidate profile Architect, develop, and maintain a highly scalable data warehouse and build/maintain ETL processes. Utilize Python and Airflow to integrate data from across the business into data warehouse. Integrate third party data into the data warehouse like google analytics, google ads, Iterable

Data Scientist Bengaluru/Chennai (Hybrid also possible) Job Description Looking for Data scientists with product analytics and technically skills, hands on development experience in Python, statistical techniques, SQL and basic Data visualization with lot of attention to granular details in data., Self-motivated, team player, with curiosity to learn and grow, exhibiting strong resolve and challenge the status quo, to strive for excellence in everything they do, with good professional and academic track record to be part of a team that deals with most innovative payments processing team that deals transactions at scale. Candidate Requirements Top must-have skills 1. SQL 2. Python 3. Tableau 4. Statistics 5. AB Testing Your way to impact What do you need to bring- Strong 5+ Years of experience in Python and SQL skills with a lot of attention to granular details in data Expertise in stitching together findings to convey coherent insights with statistical significance and analysis Use A/B Testing, analytics, market research, usability studies, and competitive analysis to drive decision making. Exceptional oral and written communication skills Ability to perform deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations and documents Engage in problem solving with the product and various merchant facing teams to determine performance trends and root causes. Support new product launches for merchants by ensuring constant monitoring is in place to track product performance. Partner with varies internal teams to ensure that the merchants analytic needs are well addressed. Create close relationships with stakeholders to anticipate & answer the questions that might be asked both by internal and external parties. Degrees or certifications required.

About Info Edge InfoEdge’s mission is to create world-class platforms that transform lives through continuous innovation. Our products and services are designed with our customers in mind. We consistently delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our ongoing investment across various businesses, particularly in cutting-edge technology, machine learning, and artificial intelligence (AI), we have developed a robust system that continuously enhances our predictive capabilities regarding customer behavior and optimizes our systems. Our diverse teams work tirelessly together to solve problems, innovate, and create solutions that empower our customers. At Info Edge, people are our core competitive advantage, and we will continue doing all that is needed to attract and retain the best available talent Job Title: Senior Product Manager (GenAI & Growth) Location: Noida, India Experience: 4-6 years About Naukri.com India’s leading job portal. Mission: Revolutionize job search and career growth using cutting-edge technology. Seeking a Senior Product Manager with expertise in Generative AI (GenAI) to scale jobseeker services and drive revenue growth. Role & Responsibilities Driving Growth: Enhance engagement, retention, and monetization of jobseeker services. Scaling 0-1 Products: Take initiatives from concept to scale using data-driven decisions. Revenue & UX Balance: Innovate pricing, freemium models, and UX to maximize revenue without compromising customer journey. GenAI Integration: Use Generative AI to enhance jobseeker experiences and launch high-NPS products. Customer-Centric Execution: Understand jobseeker pain points through research and data insights. Data-Driven Decision Making: Analyze key metrics, run experiments, and optimize funnels. Stakeholder Management: Collaborate with engineering, design, marketing, and sales teams for successful launches. Key Skills & Requirements 4-6 years of product management experience, ideally with 0-1 product scaling experience . Expertise in Generative AI applications in consumer products. Strong problem-solving skills with a first-principles approach. Customer obsession – deep empathy for user pain points. Hands-on experience with data analytics, A/B testing, and SQL . Excellent stakeholder management and cross-functional alignment skills. Bias for action – thrives in a fast-paced environment and drives execution. Success Metrics Growth Metrics: Jobseeker engagement, retention, and conversion rates. Revenue Metrics: Subscription adoption, upsell/cross-sell impact, and monetization growth. User Experience Metrics: NPS, customer feedback, and feature adoption. Product Experimentation: A/B test success rates and data-driven iterations. If you're passionate about GenAI, Growth, and User Experience , apply now and help shape the future of job search at Naukri.com

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: 2-4 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

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 is 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

The Procurement Business Partner is responsible for supporting internal stakeholders with their purchasing of software, hardware, marketing events & services across multiple departments (Engineering, Marketing, Finance, Human Resources, Legal, Tax). This position will support the buyers in their use of Optimizely Spend Management application system (ORO) and be a champion of adoption of the system and process. The Procurement Business Partner assists in ensuring operational excellence in procurement operations by ensuring processes and systems are functioning in a smooth and highly efficient manner. They aim to removes any blockages in workflows, designs and structures processes with the goal of continuous improvement while ensuring data accuracy and analysis to provide meaningful insights. Job Responsibilities Is responsible for the ensuring smooth functioning of the procurement process while supporting Optimizely's global workforce Maintains strong knowledge of financial and legal terms, and of Optimizely Spend Management application- ORO and is starting to be recognized for knowledge on the procurement system and process. Accountable for delivering quality, on time work product Builds strong, proactive partnerships with stakeholders and business leadership based on deep knowledge of their priorities Supports stakeholders in building business cases, vendor evaluation and commercial negotiations Has a continuous improvement mindset, identifies and contributes to further develop the core sourcing and procurement operating model Works with the wider procurement team and cross-functionally to ensure appropriate legal, and security reviews are in place Reviews commercial and non commercial documents and forwards redlines to Legal Responsible for data checking, correcting and monitoring in the organizations Spend Management tool. Anticipates risks and potential obstacles before they occur, and prepares suggested solutions to discuss. Knowledge and Experience Typically, 2-5 years of procurement experience, preferably in a tech industry Experience in spend management, procurement, accounting, law, finance, supply chain Experience in IT, Software or Professional services companies Excellent organizational and planning skills Experience in developing and maintaining cross functional relationships Ability to read and interpret a contract for purchase of goods and services Ability to support contract negotiation Excellent communicator Fluent English - verbal and written Education Bachelors degree in Accounting, Finance, Law or related degree

"Passionate About Adobe? Join Our Adobe Target Technical Team!" Be part of a dynamic community driving digital innovation! Get your Interview Scheduled today! To begin with, please share an audio or video introduction about your work experience on the below WhatsApp link for a QUICK response . https://wa.me/917249197853 (No calls please) This is an OFFROLE on going position with 'Om Human Resource Agency Pvt Ltd' and you will be deputed at Adobe Systems office. Work Experience- 4+ Years relevant experience in Adobe Target development Work Location- Bangalore Adobe Office CTC Offered- Upto 25Lpa Work Mode- Hybrid Shifts- General Shifts Additional Benefits/Perks- Best Work Environment, Medical & Accidental Insurance, PF, Annual Leaves and Meals. Job Description: Deep knowledge of and experience in front-end web development technologies, namely JavaScript, CSS, and HTML Knowledge and experience working with A/B testing platforms Good understanding of Optimization / Experimentation tools like Adobe Target, AJO Good understanding / exposure to cross product integration (i.e. Target AAM, Target - Analytics, AEP - CJA etc..) Hands-on experience with network diagnostics, network analytics tools. Proficient in Tag Management Solutions preferably Adobe Launch Bachelor degree or equivalent experience in Computer Science or related field, with a minimum of 5 years of practical experience Knowledge of Web Analytics is a plus A solid grasp of how web applications work including security, session management, and best development practices. 4-6 years of software engineering experience Experience working with cross geo partners/teams in delivering solutions Experience in building tools/automation/self-service/simple pages capabilities Good coding experience on frontend technologies involving web based applications. Strong interpersonal and analytical skills Ability to communicate and closely partner with colleagues in several different business functions Best Regards, Rashida P Email- rashida@omhra.in https://www.linkedin.com/company/om-hra-pvt-ltd/mycompany/

The Adobe Target E2 role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Adobe Target E2 domain.

The Digital :Adobe Experience Manager (AEM), Digital :Adobe Target role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Digital :Adobe Experience Manager (AEM), Digital :Adobe Target domain.

The Digital :Adobe Experience Manager (AEM), Digital :Adobe Target role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Digital :Adobe Experience Manager (AEM), Digital :Adobe Target domain.

Job Title: Consultant PPC & CRO Location: Hyderabad, India Position Summary Were seeking a dynamic Lead Consultant - PPC / Performance Marketing / SEM who thrives on leveraging AI, automation, and data to drive performance. In this role, you will lead the charge in optimizing paid digital campaigns, elevating conversion rates, and scaling digital efforts through strategic experimentation and advanced MarTech integrations. You will collaborate with cross-functional teams to implement cutting-edge ad optimization, intelligent bidding, and personalized user experiences that maximize ROI. Key Responsibilities Conversion Rate Optimization (CRO) for PPC Design and execute CRO strategies to enhance lead conversion from paid campaigns. Conduct A/B and multivariate testing for ad copy, CTAs, landing pages, and forms. Leverage tools like Hotjar, Microsoft Clarity, and VWO for behavioral analytics. Optimize mobile landing pages for speed, usability, and conversions. Streamline form experiences to reduce friction and improve completion rates. Collaborate with design and dev teams to ensure landing pages align with ad intent. Messaging Optimization Test and refine ad headlines, descriptions, and URLs across search and display. Use AI-driven tools (e.g., Copy.ai) and responsive search ads to improve engagement. Conduct creative fatigue analysis and refresh assets proactively. Ensure message consistency between ads and landing experiences. Utilize structured snippets, sitelinks, and extensions to increase ad visibility. Performance & Predictive Analysis Analyze conversion funnels and drop-off points to identify improvement areas. Use GA4, Looker Studio, and PPC dashboards to monitor KPIs and report insights. Track key metrics: CTR, CPC, CPL, CPA, ROAS. Apply predictive analytics to prioritize high-intent audiences and optimize budget allocation. Collaborate with analytics teams to improve attribution and forecasting models. Collaboration & Stakeholder Management Work closely with UX, content, and design teams on high-performing creatives and pages. Partner with sales and CRM teams to improve lead quality and handoff processes. Train internal teams on CRO, PPC best practices, and marketing automation workflows. Present performance insights and strategic recommendations to senior leadership. MarTech & User Journey Optimization Develop MarTech strategies to support campaign tracking, targeting, and personalization. Optimize attribution models to accurately assess campaign impact. Integrate tools like GTM, CRMs, and automation platforms for seamless operations. Align PPC and CRO efforts with available tech stacks to drive end-to-end optimization. Desired Profile Qualifications Bachelors degree in Marketing, Data Analytics, or related discipline. Masters degree is a strong plus. Minimum 8 years of experience in PPC, CRO, and MarTech-driven marketing. Skills & Experience Expertise in CRO techniques, landing page optimization, and behavioral testing. Strong knowledge of PPC ad copy optimization and dynamic ad creatives. Proficiency with tools like Hotjar, Clarity, Copy.ai, GA4, and Looker Studio. Experience with Google Ads scripts, smart bidding, and audience targeting automation. Proven ability to improve conversion rates and reduce CPA in high-budget campaigns. Strong project management and cross-functional collaboration skills.

Senior CRO Specialist We are looking for a Senior CRO Specialist to help improve our webshop by running data-driven experiments that increase conversion rates. You will research user behavior, design and manage A/B tests, and turn results into actions that improve the customer journey. You'll also support your team and help build a culture of testing and learning. What Youll Do Work with product teams to understand customer behavior. Turn research into test ideas that improve performance. Lead experiments from start to finish — planning, building, monitoring, and analyzing. Share results and next steps with stakeholders. Improve CRO processes to be more efficient and effective. Help and mentor other CRO team members. Work with global teams across different time zones and cultures. Coordinate with designers and developers for test builds. What We’re Looking For Skills & Traits: Organized and structured Creative and proactive Strong analytical thinking Clear communicator Team player who cares about the user Experience: Background in marketing or CRO Hands-on experience with A/B testing Knowledge of tools like GA4 Understanding of ecommerce Familiarity with HTML/CSS/JavaScript is a plus Knowledge of REGEX is a bonus Fluent in English

The Adobe Target E2 role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Adobe Target E2 domain.

Job Title: Analyst Job Location: Remote- WFH Base Location- Bangalore Please find the skillsets below and send us quality profiles on regular basis. Headcounts : 1 Must-Have: 5-8 years experience in Data Science, Machine Learning, NLP, LLM, Prompts, A/B Testing, Hypothesis Testing, Python, SQL, PowerBI, Statistical & Descriptive Analysis Good to Have : Google Analytics, Product Metrics (Conversion Rate, Retention, LTV, Unit Economics) Qualification: B.E/ B.Tech or Bsc + Msc Statistics Work mode : Remote Note : Candidates must be willing to work from 4pm/5pm to midnight weekly twice or thrice based on business requirements. Also Hiring Manager for this role sits in Ukraine. Interview Process: Recruiter screening- 30 mins Screening round- 30 mins- India Panel Technical 1- 60 mins- Ukraine Panel Technical 2- 60 mins- US panel Competency round- 60 mins- US panel Value & Fitment round- 30 mins What You'll Do • Collaborate with Product and Analytics leadership to conceive and structure analysis and deliver highly actionable insights from deep dives into specific areas of our business. • Conduct analysis of a tremendous amount of internal & external data to find growth & optimization opportunities for the business. • Package and communicate findings and recommendations to a broad audience (including senior leadership) • Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), build Reporting for understanding trends. • Perform advanced modeling including (NLP, Text mining) would be preferable. • Implement and track business metrics that will help drive the business. • Help determine growth strategy from a marketing and operations perspective. • Responsible/Opportunity to operate in an individual capacity as a lead analyst to understand JA audience and guide informed strategic decisions & executions. What Were Looking For • 5-8 years of experience in e-commerce/customer experience products • Proficiency in analysis and business modeling using Excel. • Experience with Google Analytics, BigQuery, Google Ads, PowerBI, and Python / R would be a plus. • Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer. • Expertise in Descriptive Statistical Analysis, Inferential Statistical Analysis • Strong experience in setting up and driving A/B Testing or Hypothesis Testing and analyzing the results. • Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills. • Ability to communicate effectively with all levels of management and partners from a variety of business functions. • Advanced English level • App-related experience would be preferable.