7 Hypothesis Jobs

Strong background in SQL, Python, R, Tableau/ Google analytics/Power BI Exp working on metrics such as retention, churn, engagement and marketing analytics. Excellent visualization skills Mail us- info@a1selectors.com

Conversion Rate Optimization (CRO) Manager Were seeking an experienced and data-driven CRO Manager to lead our website and funnel optimization efforts. In this role, you will own the end-to-end CRO strategy with the goal of improving user journeys, maximizing onsite conversions, and driving revenue growth. The ideal candidate comes from an e-commerce background, understands the customer lifecycle, and is fluent in A/B testing, analytics, and UX best practices. Key Responsibilities: Own and execute CRO strategies to improve conversion metrics across web and mobile platforms. Analyze user behavior using tools like Google Analytics, Hotjar, and heatmaps to identify friction points and drop-offs. Design and run A/B, split, and multivariate tests (using tools like VWO, Optimizely, or Google Optimize) to validate hypotheses. Develop data-backed hypotheses for funnel improvements across PDPs, cart, checkout, and other key user flows. Collaborate closely with UX/UI designers, developers, and performance marketing teams to implement and iterate on test findings. Conduct post-test analysis to extract actionable insights and translate them into long-term site improvements. Monitor and report on key metrics such as conversion rate, bounce rate, average order value (AOV), and customer acquisition cost (CAC). Stay up-to-date with the latest CRO trends, tools, and e-commerce benchmarks. Requirements: 56 years of proven experience in conversion rate optimization, ideally in a high-traffic e-commerce environment. Strong analytical skills with proficiency in tools like Google Analytics, Mixpanel, GA4, etc. Hands-on experience with CRO tools such as VWO, Optimizely, Google Optimize, AB Tasty, or similar. Strong understanding of UX/UI principles, customer psychology, and user journey mapping. Ability to structure and run experiments using statistical significance. Experience working with cross-functional teams including marketing, product, design, and engineering. Excellent communication and presentation skills. Preferred Skills: Experience optimizing for mobile web and app funnels. Familiarity with HTML/CSS/JavaScript basics (not mandatory but helpful). Knowledge of personalization strategies and tools (e.g., Dynamic Yield, Insider). Experience working in fast-paced D2C or marketplace models. Why Join Us: Be part of a data-first, customer-centric e-commerce brand. Directly impact business growth by shaping the digital customer experience. Work with passionate, high-performing teams across product and growth.

Data Scientist Req number: R5301 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are seeking Data Scientist with expertise in analytical modeling, ML methodologies, and data visualization to elevate our data-driven culture and deliver actionable insights that optimize business performance. The candidate must have proven success in coalescing, analyzing, synthesizing and contextualizing complex data sets (qualitative and quantitative) to deliver metrics, insights, advanced machine learning / AI analytics, with actionable recommendations that have a direct impact on business strategy and inform customer experience decisions. This is a Full-time and Remote position. Job Description What You’ll Do Understand current state architecture, including pain points. Translate Business/Customer Problems: Partner with the Customer Understanding Manager to translate business/customer challenges into data-driven hypotheses, insights, and recommendations that optimize marketing and sales performance. Insight Generation: Demonstrated experience proactively identifying and generating insights to enhance business and marketing performance, moving beyond descriptive analysis to inform strategic decisions. Storytelling with Data: Strong data analytics, visualization, and storytelling skills along with great attention to details. Modeling & Advanced Analytics: Develop and manage customer health programs, leveraging predictive analytics and machine learning models to assess customer engagement, churn risk, and growth potential. Quantify Impact of Marketing Initiatives: Perform deep-dive statistical analysis to quantify the impact of marketing initiatives on business KPIs, including revenue growth, retention rates, and customer lifetime value. Develop NPS Analysis: Support development of NPS (Net Promoter Score) analysis. Identify relevant data from internal and external sources to align NPS score to operational, financial, and experience metrics. Design and Maintain Automated Dashboards: Design and maintain automated dashboards and self-service analytics tools using Salesforce, Tableau, and Power BI to support real-time decision-making. Apply AI/ML methodologies: Utilize AL/ML techniques such as predictive modeling, clustering, key driver analysis, and NLP to uncover customer trends and improve engagement strategies. Promote Insight-Informed and Data-Driven Culture: Develop regular reports, executive briefs, and blogs to reveal market, industry, and customer trends, fostering an insight-informed and data-driven culture within the company. Develop Scorecards and Performance Dashboards: Lead the creation of scorecards and performance dashboards, ensuring marketing and sales teams have the insights needed to optimize decision-making. Drive Innovation in Data Strategy: Stay updated on evolving AI/ML methodologies, automation frameworks, and analytics best practices to drive innovation in data strategy. Experimental Design & Statistical Modeling (hierarchical linear models, regression analysis, hypothesis testing, significance testing). AI/ML Expertise (GenAI, NLP, tree-based models, deep learning, ModelOps/MLOps best practices, reinforcement learning). Data Engineering & Processing (structured/unstructured data manipulation, building ETL pipelines, Python libraries: pandas, scikit-learn, statsmodels, etc.). Data Storytelling & Visualization (Tableau, Power BI, Salesforce, Plotly, Adobe Analytics, etc.). Automated Analytics & Cloud Computing (AWS, GCP, Azure, Databricks, Snowflake, BigQuery). Strong time management and organizational skills with the ability to prioritize and execute projects independently. What You'll Need Bachelor’s degree in quantitative discipline: computer science, Statistics, Applied Mathematics, Economics, or a related field . 5-7 years of experience in advanced analytics, data science, or marketing intelligence , preferably in B2B or manufacturing industries. 4+ years Tableau experience. 4+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data. Strong expertise in SQL, Python, and statistical modeling , with experience in building scalable data pipelines . Proficiency in data visualization and self-service analytics tools (Tableau, Power BI, Salesforce Analytics, etc.). Hands-on experience with AI/ML frameworks, NLP, and MLOps best practices Proven ability to synthesize complex data sets into strategic business insights that drive measurable outcomes . Strong communication skills, with the ability to translate complex technical findings into actionable business recommendations . Expert at hypothesis generation , creating data-driven business questions and experimental design techniques. Agile project management skills with the ability to manage multiple priorities and deliver high-impact results . Passion for continuous learning, research, and innovation in data analytics and AI. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Strong background in SQL, Python, R, Tableau/ Google analytics/Power BI Exp working on metrics such as retention, churn, engagement and marketing analytics. Excellent visualization skills Mail us- info@a1selectors.com

Who We Are At 17LIVE , we empower artists through live streaming , connecting users globally through AI-driven recommendations and personalization . Our team builds machine learning models to enhance user engagement, optimize content discovery, and ensure a safe and immersive experience for millions of users. We are looking for a Technical Data Analyst who is passionate about solving complex challenges with AI, finding patterns in human behavior, and optimizing user experiences through data-driven innovation What Youll Do: Analyze User Behavior: Help optimize AI-driven content recommendations and engagement strategies by understanding patterns in user behavior. User Safety Monitoring: Contribute to the development of models that detect inappropriate content, harassment, and illegal activities to ensure user safety. Performance Metrics: Monitor key metrics like retention, engagement, and revenue, and identify trends for continuous improvement. Data Insights: Conduct statistical analysis to uncover trends and provide actionable insights that drive business decisions. Collaboration: Work closely with engineers and product teams to turn data insights into actionable strategies, ensuring data accuracy across teams. Data Visualization: Create clear and effective visualizations to present findings to both technical and non-technical stakeholders. What Makes You a Great Fit: A passion for data analysis and machine learning, and a strong desire to learn and grow in the AI field. A foundational understanding of statistical methods and data analysis techniques. Proficiency in programming languages like Python and SQL (or a strong willingness to learn). A knack for problem-solving and translating data into actionable recommendations. A curious and creative mindset, always looking for innovative ways to improve and adapt. Ability to collaborate effectively in a team environment, with a desire to learn from others and contribute your own ideas. Perks - We do not believe that we have to make any compromises to follow our heart. We take pride in providing world class facilities to our team members so that they solely focus on work. Here is a list of some of those facilities. 4 days work week. Best-in-class salary as benchmarked with the market. We dont track vacation days and working hours. The company only measures what people get done; if employees do their work, It doesn't matter when or for how long they're in the office. Flat hierarchy. No ass-kissing. Equal growth opportunities for everyone. To make your job more fruitful than previous, the company also offers a professional development opportunity that can make this seemingly fantastical path a reality. We offer incredible perks focused on all employees single, parents and parents to be, everyone can get unlimited paid time off to bond with family members. In addition to standard health insurance benefits, we take care of its employees' and their family members' health. We encourage team members to bring their hidden talent in front of everyone. We highly encourage people to set personal goals and help them achieve them We believe great minds are shaped by more than just their skills . Show us what makes you unique, curious, and human because thats who we want to work with. Why Join Us? High impact Your work will directly enhance AI models for millions of users. Global collaboration Work alongside top AI/ML engineers and product teams . Innovation-driven Build AI solutions that redefine the live streaming experience . Freedom & flexibility We prioritize outcomes over hours . Like what you read? Apply now and shape the AI-powered future of live streaming !

JD for SAP APO PPDS Must have 12 + years of Experience supporting and/or implementing SAP APO (Advanced Planning and Optimization) PPDS (Production Planning Detailed Scheduling solutions).Participation in at least 2 full scale (blueprint, design, build, test, deploy and support) implementation projects involving SAP APO and integration with ECC application.Exposure to other SAP APO modules(SNP,DP), and their integration within APO and with ECC Expert knowledge of Core Interface (CIF) integration with SAP ECC Expert knowledge of SAP PP Material Requirements Planning Knowledge of background jobs & process chains to manage the daily planning requirements. Expertise on PPDS and ECC for Master data creation like Material master, Production version, Work center and BOM. Should have hands on experience with repetitive manufacturing process and relevant SAP ECC master data set up (rate routing, alternate/primary/secondary resource) and configuration. Must have hands on experience in Set up matrix and detailed understanding of set up group, set up key, set up of integration model (material independent) for set up group CIF from ECC to APO. Must have detailed hands on experience in defining scheduling profiles and scheduling optimizer, capacity planning of primary and secondary resource. Must have hands on experience with configuration of scheduling board. Strong understanding of SAP APO PP/DS (Production Planning Detailed Scheduling) concepts and standards, and integration with SAP ECC. Integration experience of SNP/PPDS is must. Must have experience with Trim optimization, CTP Promise, Variant Configuration. Expertise in PPDS (Heuristic and Subcontracting), Optimizer & Block Planning. Should have ABAP Debugging exposure.Transportation planningIntegration of R/3 and APO Vehicle Scheduling TPVS Order Category Selection Transportation Optimizer, Carrier Setup. Vehicle Scheduling TPVS Order Category Selection. Define Optimization Profile, Tenderings, Interactive Vehicle Scheduling.

Service Manager/Sr. Service Manager-Process Excellence for Gurgaon Certified Green Belt/Black Belt- Business Excellence-Quality We are looking for Service Manager/Sr. Service Manager-Process Excellence for Gurgaon. location. Job Location : Gurgaon Both Side Transport Work from Office Sr. Service Manager (Certified Blackbelt- Business Excellence-Quality Domain) JOB DESCRIPTION : The Ops & Quality Sr. Service Manager supports aligned BU business partners in effectively managing and improving operational performance & in meeting their productivity goals through a culture of continuous improvement. High Level Responsibility area Facilitates / Leads improvement projects based on Lean / Six Sigma methodology. Provides analytics support to Business Leaders both onshore and offshore. Drives a continuous improvement culture Manages the innovation/ idea generation platform MERCURI Facilitates Process Improvement trainings Supports the business with Quality/Operational excellence initiatives. Responsibilities: Understand business processes , analyze data trends and share recommendations with stakeholders Showcase / share skill set & Quality service offerings with stake holders Analyze data on key client operational metrics to understand opportunity for improvement Learn and understand the domain / business to help define process metrics Map processes to identify non-core activities and suggest alternatives and thus help remove waste Facilitate / lead brainstorming sessions in a structured problem solving approach to identify improvement areas, support in measuring improvements and quantification of savings Actively listen and understand stakeholder expectations and requirements to support them in meeting their business objectives Be flexible to changes & continuously evaluate to adapt to the culture of the organization Understand and own development needs in consultation with the manager and work to achieve development goals Liaison with North America Ops & quality counterparts and other stakeholders to drive collaboration and team work Deliver Lean trainings for Band 3-5 colleagues Deliver need based trainings on Problem solving ,Quality concepts & tools Mentors colleagues within the Business Unit on client knowledge / Process knowledge / Tools knowledge Identify Failure modes and help in establishing process controls Design and develop metrics for accurate measurement of work performance Baseline metrics and monitor performance Provide advance data Analytics as per Business Unit / Process requirements Identity opportunities for capacity creation Facilitate / lead capacity creating projects in alignment with the productivity goals of stakeholders Support business to create year on year efficiencies Support transition of new processes, Map processes, create metrics, and consult the business on setup and design of Quality Assurance processes Use Six Sigma and Lean tools as required Facilitate / Lead projects on Quality and operational excellence using Six Sigma / Lean / Project Management methodologies Develop project roadmaps for assigned projects with minimal or no mentoring support Acts as a program manager for BU specific or division level programs Education: Graduate in any stream Green Belt/Black belt certified Required Experience 8+ years of work experience Total work experience of 5 years or more (after Graduation in any discipline) Relevant / industry work experience of 5 years or more Maximum experience should not exceed 10 years. Hands on experience of mentoring and doing Green Belt /Black Belt Six Sigma Project Experienced in managing multiple project teams simultaneously Preferred Experience: Training and Facilitation Skills and experience Excellent oral, written, cross functional and interpersonal communication skills. Learning ability with customer orientation and a keen eye for process improvement Exposure to COPC, ISO, TQM, Project Management and other Quality methodologies/systems Knowledge of Minitab Knowledge of Access Good knowledge of MS Excel , Power Point and MS Visio Note : Looking for immediate joiner or who can join within 30 days maximum, Interested candidates can share their CV's at Sandeep.sharma72@wipro.com ( Subject line-Process Excellence for Gurgaon)