35 Statistical Analyses Jobs

We are searching for a Java Developer to join our team and contribute to the development of web applications. As a Java Developer, you will be responsible for analyzing user requirements, designing application features, and suggesting enhancements to existing Java-based applications. Your role will involve creating detailed technical documentation and user assistance resources, emphasizing strong written communication skills. Key Responsibilities: - Design and implement Java-based applications. - Analyze user requirements to guide application design. - Define application objectives and features. - Ensure application design aligns with business objectives. - Develop and test software solutions. - Troubleshoot and resolve technical issues. - Create comprehensive design documentation. - Recommend improvements to Java infrastructure. - Develop multimedia applications. - Generate user documentation. - Pursue continuous professional development. Requirements: - Bachelor's degree in Computer Science or a related field. - Proficiency in user interface design, database structures, and statistical analyses. - Strong analytical and problem-solving abilities. - Excellent written and verbal communication skills. - Solid organizational skills. - Capability to collaborate within a team. - Attention to detail. This is a full-time position located in Nagpur with benefits including internet reimbursement. The role requires in-person work during day shifts. Candidates should be willing to commute reliably to Wardha Road or plan to relocate. Preferred qualifications include 1 year of total work experience and 1 year of Java experience. If you meet these requirements and are enthusiastic about Java development, we encourage you to apply for this exciting opportunity.,

JOB DESCRIPTION MANAGER- CONVERSION RATE OPTIMIZATION JOB SUMMARY: We are seeking a data-driven and user-focused CRO Manager to lead and scale our experimentation and optimization strategy. In this role, you will own the end-to-end CRO processfrom hypothesis generation and prioritization to test execution and analysiswith a focus on improving conversion rates across key digital funnels. You will collaborate cross-functionally with design, analytics, product, engineering, and marketing to drive measurable improvements in user experience and business performance. ABOUT iQuanti iQuanti is a digital marketing and analytics firm that ignites powerful and predictable digital marketing performance for global brands with an approach rooted in data science and deep vertical knowledge. iQuanti offers a unique blend of channel management services, strategic consulting expertise, and proprietary product offerings to empower brands to exceed their customer acquisition, engagement, and conversion goals. Our services include Analytics & Reporting, Holistic Search Marketing (SEO/SEM/Paid Media), Content Marketing & Optimization, Conversion Rate Optimization & User Experience Design, and Web & Mobile Development. More information about us can be found at www.iquanti.com RECOGNITIONS: iQuanti Named to the 2019 Adweek 100: Fastest-Growing Agencies’ List iQuanti Recognized on the Inc. 5000 List for Fifth Time iQuanti was recognized as highly commended in the Best Search Software category for its predictive SEO platform ALPS (Analytics Led Platform for Search). RESPONSIBILITIES Of the Role STRATEGIC Define and evolve the CRO strategy in alignment with clients business goals, customer segments, and growth priorities. Collaborate with internal and external stakeholders to define KPIs, prioritize test hypotheses, and identify high-impact conversion opportunities. Translate business challenges into testable hypotheses and structured experimentation roadmaps. Develop customer journey optimization strategies based on user behavior, segmentation, and intent signals. Leverage both qualitative and quantitative insightsincluding heuristic evaluationsto uncover friction points and conversion gaps. Present strategic recommendations and test outcomes to executive stakeholders with a clear link to business impact. Align CRO initiatives with broader marketing, acquisition, and product strategies through close partnership with analytics, UX, and digital marketing teams. Stay current on industry trends, tools, and testing methodologies to continuously enhance CRO practices. OPERATIONAL Own and manage the end-to-end CRO processfrom research and ideation to test execution, performance analysis, and iteration. Conduct usability testing, surveys, customer interviews, and competitive analysis to extract actionable insights. Collaborate cross-functionally with designers, developers, and analysts to implement and launch optimization experiments. Develop and maintain standardized frameworks, templates, and documentation to ensure consistency and scalability across client engagements. Continuously monitor test performance, optimize based on results, and document outcomes, learnings, and next steps. Lead regular client meetings to share progress, review test results, and align on future priorities. Prioritize and manage test backlogs across multiple accounts in coordination with internal account teams and client stakeholders. PEOPLE Mentor and upskill junior team members in CRO methodologies and experimentation best practices. Facilitate internal workshops and presentations to communicate CRO strategies, findings, and impact. Maintain a centralized repository of test learnings to ensure knowledge-sharing across teams. Foster collaboration across cross-functional teams to drive successful execution of CRO initiatives. SKILLS & QUALIFICATIONS: REQUIRED SKILLS: Strong analytical mindset with hands-on experience in A/B and multivariate testing. Proficient in CRO and experimentation platforms (e.g., Optimizely, VWO, Google Optimize, Adobe Target). Solid grasp of statistical concepts and significance testing in an experimentation context. Familiarity with UX principles, persuasive design, and user psychology. Experience with web analytics tools (e.g., Google Analytics, Adobe Analytics) to inform test strategy. Ability to synthesize data into actionable insights and compelling business narratives. Excellent communication and storytelling skills to present CRO findings to stakeholders. DESIRED SKILLS Experience with user behavior analysis tools (e.g., Hotjar, Crazy Egg). Working knowledge of tag management systems and tracking (e.g., Tealium, GTM). Experience leading experiments across multiple platforms—desktop, mobile web, and apps. EXPERIENCE 5+ years of experience in digital optimization, experimentation, or growth-focused roles. Demonstrated success in running impactful CRO programs in B2B, B2C, eCommerce, fintech environments. QUALIFICATIONS Bachelor’s degree in Marketing, Psychology, Human-Computer Interaction, or a related field. Master’s degree in Business, Marketing, or related fields is a plus.

As a laboratory technician at Continental, you will be responsible for various tasks to ensure the smooth operations of the laboratory. Your duties will include preparing buffers, stocking supplies, maintaining inventory, and ordering supplies. Additionally, you will be in charge of equipment maintenance and updating associated logs. It is crucial to keep all procedures and processing areas clean and organized to uphold quality standards. You will play a key role in testing nanomaterials according to relevant Standard Operating Procedures (SOP) and releasing acceptable products. Furthermore, you will conduct testing for product validation and process validation on existing products, and publish data accordingly. Supporting the Operations department with process qualifications and validations for procedures and equipment is also part of your responsibilities. In addition, you will assist in maintaining the product testing database, performing statistical analyses related to product specifications, and supporting order fulfillment and inventory management. Effective communication with management regarding assignments, schedules, and task prioritization is essential to meet assigned due dates. Adherence to company safety and quality standards is mandatory to ensure a safe working environment. To qualify for this role, you should have an ITI or Diploma in Chemical, Mechanical, or Electrical engineering. A background in Chemical or Mechanical engineering is preferred. Continental offers a dynamic work environment where you can contribute to the development of pioneering technologies and services for sustainable and connected mobility. If you are ready to drive with Continental and be a part of a global technology company with a rich history dating back to 1871, take the first step by filling in the online application. Join us in creating safe, efficient, and affordable solutions for vehicles, machines, traffic, and transportation. As part of the ContiTech group sector, you will have the opportunity to develop and manufacture innovative products and systems for various industries, guided by the vision of smart and sustainable solutions beyond rubber. This position is based in Kalyani, Nadia, with onsite job flexibility. As a laboratory technician at Phoenix Conveyor Belt India Private Ltd., you will have the chance to lead yourself and contribute to the continuous growth and success of the company. Become part of our team and help shape the future of mobility and technology.,

The Market Risk team at Infosys Limited is seeking experienced professionals to expand its presence in India and support activities in data management, risk operations, product, and research. We are looking for individuals who have hands-on experience with real-world data and are proficient in statistical analyses. The ideal candidates should be motivated self-starters and team players, eager to collaborate, learn new skills, and go the extra mile for both internal and external clients. Key Responsibilities: - Minimum of 3-8 years of experience in market risk measurement within an investment bank or financial institution, with previous experience in VaR or Credit Risk. - Knowledge of Asset Classes, focusing on at least 1-2 of the following: Equity, Fixed Income, FX, Commodities, Derivatives, and Structured Products. - Expertise in Fixed Income and Derivatives, particularly Corporate Bonds, Interest Rate derivatives, Total Return Swaps (TRS), Credit Derivatives, CVA, FVA, etc. - Basic understanding of pricing and valuation of financial products. - Familiarity with key risk and profitability concepts such as Probability of Default, Event of Default, Jump to Default, Present Value of basis point, Mark to Market, volatility, Yield curve parallel and point shifts, etc. - Ability to break down the price of a security into its various constituent components, including interest rate curves and relevant term structure sensitivity. - A higher degree in finance or a relevant area, or a professional qualification like CFA, FRM, PRIMA would be advantageous. - General knowledge of risk issues, investment products, and some programming skills would be desirable. - Strong teamwork and relationship-building skills. - Capability to deliver high-quality and accurate work under pressure and tight deadlines. - Willingness to challenge the status quo, provide alternative approaches, and question existing norms. Preferred Skills: - Financial Risk Management: Credit Risk Management, Market Risk Measurement & Control.,

As a Senior Technical Support Engineer at Adobe's dynamic team in Noida, Uttar Pradesh, India, you will have the opportunity to work in a collaborative environment that fosters digital creativity and innovation. Your primary responsibilities will include delivering technical support via telephone and email, logging all interactions thoroughly, validating and reporting customer-submitted product bug reports accurately, troubleshooting and resolving customer issues, and assisting in testing new products. You will also be expected to manage projects within timelines, fully own cases to contribute to team success, identify trends and potential issues, and support scalable software solutions for Adobe's largest customers. Additionally, maintaining accurate product documentation and treating each case as an opportunity to delight customers will be essential aspects of your role. You will also be required to work in a 24/7 shift on a rotation basis and provide weekend or holiday coverage as per business requirements. To be eligible for this role, you should have a Bachelor's degree in computer science or a related field, or equivalent experience, along with at least three years of experience in a customer support environment, preferably in a high enterprise tech setting. Excellent communication skills, both written and verbal, a problem-solving approach focused on process improvement, and the ability to troubleshoot problems systematically within service-level goals are crucial qualifications. Good knowledge of Internet websites, Excel, and email is also required. In terms of technical competence, you should possess deep knowledge of HTML, JavaScript, Perl, Web 2.0, web services, and understanding of Internet/Digital Marketing concepts, Mobile, DTM, and Tag Management. Experience with SQL, database management, data insertion/reporting APIs, SOAP, REST, PHP, Mobile and Video programming solutions, Tag Management tools, and Adobe Target or optimization tools is desirable. The role also requires the ability to diagnose and troubleshoot complex analytic implementation issues, familiarity with jQuery, AngularJS, and any JS Framework, knowledge of API (SOAP/REST), experience in multi-platform technology companies, and general knowledge about Google, Tealium, Salesforce, and Pega technologies. Advanced-level Excel and PowerPoint skills, and some experience in digital marketing, CRO, digital analytics, decision-making, personalization, recommendations, or UX fields are also beneficial. If you are seeking career growth opportunities, Adobe celebrates creativity, curiosity, and constant learning. Ensure to update your Resume/CV and Workday profile with your uniquely Adobe experiences and volunteer work. Visit the Internal Mobility page on Inside Adobe to understand the process better and set up job alerts for roles of interest. Prepare for interviews by checking out the provided tips. The Talent Team will reach out to you within 2 weeks after you apply for a role via Workday. Notify your manager if you move into the official interview process with the hiring team to champion your career growth. At Adobe, you will experience an exceptional work environment recognized globally, surrounded by colleagues committed to mutual growth through ongoing feedback with the unique Check-In approach. If you aspire to make an impact, Adobe provides the ideal platform for you. Explore our employees" career experiences on the Adobe Life blog and discover the meaningful benefits we offer. Adobe aims to ensure accessibility on Adobe.com for all users. For any accommodation needs during the application process, contact accommodations@adobe.com or call (408) 536-3015.,

As a Market Research Analyst at ChatterPe, you will be responsible for collaborating with clients to develop tailored solutions that align with their objectives. Your role will involve creating strategies for data collection through methods like surveys, questionnaires, and opinion polls. Furthermore, you will be tasked with gathering and analyzing data on consumers, competitors, and market trends using statistical software. Your responsibilities will also include translating intricate data and insights into easily understandable formats such as tables, graphs, and written reports. It will be crucial for you to oversee all stages of the research process, ensuring the timely achievement of milestones. To excel in this role, you should possess a degree in Statistics, Marketing, Business Administration, or a related field. Previous experience in a similar position will be advantageous. Proficiency in managing both qualitative and quantitative research projects is essential. Additionally, you should have a strong background in questionnaire design, table specifications, and project management. The ideal candidate will be skilled in performing various statistical analyses like regression, conjoint, cluster, and discriminant analysis. Familiarity with consolidating data from multiple sources to craft a cohesive narrative is preferred. Proficiency in business visualization tools such as Power BI and Tableau, along with statistical packages like SPSS, SAS, or similar, is required. Excellent communication and presentation abilities are also key for this role. If you are seeking a Full Time or Part Time position as a Market Research Analyst in Gurugram, and you meet the above criteria, we encourage you to apply and be a part of our dynamic team at ChatterPe.,

Job Title: Assistant Vice President II Data Analyst / Data Scientist Location: Vadodara Department: Data Analytics / Strategy Age Limit: 28 to 40 years Key Responsibilities: Lead data analytics projects and mentor junior team members. Drive strategic initiatives by providing advanced analytical solutions and business intelligence. Develop predictive models and implement machine learning algorithms as needed. Collaborate with cross-functional teams to drive innovation through data. Required Qualifications: Bachelor’s or Master’s in Computer Science, IT, Data Science, Statistics, Mathematics, Economics, or related quantitative fields. Minimum 8 years of experience in a corporate environment with at least 5 years in data analysis or project management. Preferred Certifications: Google Data Analytics, Microsoft Power BI, Tableau Specialist, Diploma/PG Diploma in Data Science or ML/AI.

Job Title: Assistant Vice President I Data Analyst / Data Scientist Location: Vadodara Department: Data Analytics / Strategy Age Limit: 27 to 37 years Key Responsibilities: Analyze large datasets to extract actionable insights and support data-driven decision-making. Design and implement dashboards, reports, and data models using tools such as Power BI, Tableau, or equivalent. Collaborate with business units to define and track KPIs. Drive data-related projects, ensuring timely and quality delivery. Required Qualifications: Bachelors or Master’s in Computer Science, IT, Data Science, Statistics, Mathematics, Economics, or related quantitative fields. Minimum 5 years of experience in a corporate environment with at least 3 years in data analysis or project management. Preferred Certifications: Google Data Analytics, Microsoft Power BI, Tableau Specialist, Diploma/PG Diploma in Data Science or ML/AI.

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. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview of the role As a member of theEnterprise Insights teamat Target in India, you will expand efforts to help shape the ideal guest (consumer) experienceand drive business and communication strategies and activations. This role supports the Category Insights team, which focuses on understanding consumer behaviors, attitudes, needs, and motivations across Targets core businesses. You willplay a key role in bridging the gap between business and guests through research by collaborating with multiple stakeholders includingmerchandisers, marketers, category managers, and creative teams. You will be responsible for designing and executing guest or consumer research to support key initiatives. You will be the primary contact for internal partners and will identify the appropriate research method, data source and vendor/supplier to execute work. Target leverages both qualitative and quantitative techniques and various secondary and proprietary sources of data to conduct research studies.As an advocate for the guest, youll be expected to frame findings into compelling insights and stories to establish guest understanding and empathy on the team and drive effective changes. Your work will have to includeactionable recommendationsfor teams to then run with and achieve desired business goals for the organization. As a Sr. Marketing Researcher of Marketing & Brand Insights, you will report to the Sr. Manager, Research & Insights. Responsibilities: Identify best method or mix of methods for the research plan, timeline and resourcing. Work closely with cross-functional teams to identify and develop research plan based on analysis of knowledge gaps, project goals and risks. Conduct consumer research and report findings. Perform thoroughqualitative/quantitativeanalysis to create meaningful insights and actionable recommendations. Work on an iterative approachthrough close alignment with business teams to influence impact of the project. Skills: Ability to operate using a range of quantitative survey methods and techniques, qualitative methods/techniques, ethnographic and anthropological research, statistical testing within quantitative methods, sampling, and data analysis and synthesis across methods Solve business problems with a consumer- centered approach. Strong grasp of quantitative data analysis and statistics from a business perspective, including generating and distilling reports from syndicated and secondary sources Conducting field research (both quantitative and qualitative), including preparing survey design/ discussion guides etc. Strong collaboration to effectively influence a diverse set of stakeholders. Communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization. Manage ambiguity, work autonomously, meet deadlines and multi-task in an agile environment. Preferred Background: Four-year degree or equivalent experience Retail/E-Commerce Experience Minimum of 5 years of Consumer Insights experience Significant experience with different methods of quantitative, qualitative, syndicated and first-party insight tools Experience analyzing syndicated and secondary data sources, as well as macro trend analysis Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Good to Have Skills Proficiency in CDISC standards, particularly ADaM (Analysis Data Model) and SDTM (Study Data Tabulation Model). Experience in creating and validating ADaM datasets, ensuring they are analysis-ready and compliant with regulatory requirements. Hands-on experience with efficacy analysis, including the creation of statistical analysis plans (SAPs) and mock TLFs (Tables, Listings, Figures). Soft Skills Excellent communication skills for collaborating with cross-functional teams and presenting findings. Attention to detail and strong problem-solving abilities. Ability to manage multiple projects and meet deadlines. Must Have Skills - Hands-on experience with efficacy analysis.

Data Scientist is responsible to discover the information hidden in vast amountsof data, and help us make smarter decisions to deliver better products. Yourprimary focus will be in applying machine learning techniques for data mining andstatistical analysis, Text analytics using NLP/LLM and building high qualityprediction systems integrated with our products. Job Responsibilities: Building models using best inclass ML technology. Training/fine tuning modelswith new/modified training dataset. Selecting features, buildingand optimizing classifiers using machine learning techniques Data mining usingstate-of-the-art methods Processing, cleansing, andverifying the integrity of data used for analysis Enhancing data collectionprocedures to include information that is relevant for building analyticsystems Technical skills Mandatory 7 to 9 years of experience as MachineLearning Researcher or Data Scientist Graduate in Engineering,Technology along with good business skills Good applied statistics skills,such as distributions, statistical testing, regression, etc. Excellent understanding ofmachine learning techniques and algorithms including knowledge about LLM Experience with NLP. Good scripting and programmingskills in Python Basic understanding of NoSQLdatabases, such as MongoDB, Cassandra Nice to have Exposure to financial researchdomain Experience with JIRA,Confluence Understanding of scrum andAgile methodologies Experience with datavisualization tools, such as Grafana, GGplot, etc. Soft skills Oral and written communicationskills Good problem solving andnegotiation skills Passion, curiosity andattention to detail

YES (Yield Engineering Systems, Inc.) is a leading manufacturer of reliable, high-tech, cost-effective capital equipment that transforms materials and surfaces at the nanoscale. From startups to the Fortune 50, our customersrely on YES to help them unleash products that change lives from cellphones and IoT devices,to AI and virtual reality, to diagnostic tests for COVID. As a preferred provider of wet and dry process technology, we look forward to talking with smart, energetic, team-oriented people who can grow with us. We provide competitive salaries and benefits, including employee stock ownership, and some of the best co-workers youll find anywhere. If this appeals to you, please read on Job Title: Manager -Final Test/Process Qualification Location: Coimbatore, India Responsibilities include but are not limited to: Conduct FAT test for Semiconductor equipment & qualification. Make sure to execute Checklists and procedures and update the tasks being done on the tool, as the needs require. Execute on the Final Test Checklist, sign off each task executed on and make sure its on track for delivery as promised to our customers. Collects, processes, and performs statistical analyses on data. Apply Troubleshooting method to eliminate equipment malfunction. Conduct diagnostic procedures to isolate problems. Assess the severity of malfunctions and determine corrective actions required. Recording process documentation and production data meticulously to adhere to compliance and traceability guidelines. Refine process recipe based on the test recipe and customer recipe to qualify process/customer requirement. Hands on experience with PID tuning (Conventional and Advanced methods). Conduct DOE's for improving or optimizing product design or problem-solving or manufacturing processes. Pump down for Vacuum chambers and Load-locks with all safety measures. Good understanding of air- or liquid-based instruments used in piping. Should be able to interpret PNID diagrams and make tweaks if required. Should have handled gases like CDA, N2, and helium, and added advantage if handled process chemistry. Hands on experience with Kawasaki robots (other robots are added advantage), Load ports, aligner and Ionizer bar. Evaluating ESD requirement for the Platforms. Handle delicate semiconductor wafers/panels with precision and care during the processing cycle. Hands on experience with Tool leveling. Verify Lock-out / Tag-out is done properly with other team members, making sure they are following the Environmental Health & Safety guidelines properly. Proficiency in interpreting electrical and mechanical schematics, diagrams, and operation manuals. Proficiency in basic computer skills and familiarity with common office software including Microsoft suites. Experience in installation, maintenance and troubleshooting of semiconductor capital equipment (Curing, Etching, deposition tools). Able to work in cleanroom environment. Ensuring compliance with health and safety regulations within the facility. Additional Responsibilities: Have a good understanding of mechanical components, adjustment, and alignment, and can coach other team members. Support new product launches to ensure that supplier quality meets the required standards. Facilitate the team on root cause analysis and corrective actions of supplier quality issues. Qualifications: Degree in electrical, electronics, software, or mechanical engineering preferred. Minimum 5-8 years of experience in relevant final testing/Process. Substantial experience in a high-volume manufacturing environment. Experience working in equipment engineering in Semiconductor, Solar, or LED industry. Experience in the Final Test Area. Can read schematics electrical, electronic, and mechanical drawings. CAD, Solid work, and inventor knowledge is a plus. Some software, PLC knowledge and understanding is a plus. Have a good understanding of electrical and electronics troubleshooting down to the component level and be able to train other team members. A good understanding of vacuum, thermal, and Chemical Vapor Deposition systems and be able to guide the team through complex tool issues. Lean manufacturing skills. Experience of dealing with customers and suppliers. Travel Requirements: Must be able to travel up to 25% (Domestic & International), required Compensation: YES offers a stimulating and fun working environment, competitive salaries and benefits, and long-term incentives. Additional Information: YES is an equal opportunity employer and values diversity. All employment is decided based on qualifications, merit and business need. Come find out why YES is such a great place to work. Apply today!,

Job Requirements Job Title: Lead - Category Analyst (Jewellery) Company Name: Titan Job Type: Regular/Permanent Job Category: Jewellery-SMR Department: Merchandising-Tanishq Location: Bengaluru, Karnataka, India Job Description: Tanishq, a leading jewellery brand, is seeking a highly skilled and experienced Lead - Category Analyst to join our team in Bengaluru, Karnataka, India. As the Lead - Category Analyst, you will be responsible for analyzing and monitoring the performance of our jewellery category, specifically for our brand Tanishq. You will play a crucial role in driving the growth and success of our jewellery business. Key Responsibilities: - Analyze sales data and market trends to identify opportunities for growth and improvement in the jewellery category - Monitor and track the performance of Tanishq jewellery products and make recommendations for product assortment and pricing strategies - Conduct competitive analysis to stay updated on market trends and competitor strategies - Collaborate with cross-functional teams including merchandising, marketing, and sales to develop and implement effective category strategies - Develop and maintain relationships with key vendors and suppliers to ensure timely delivery and quality of products - Prepare and present reports and insights to senior management to inform decision-making processes - Train and mentor junior analysts to improve their analytical skills and knowledge of the jewellery category Work Experience Requirements: - Post Graduates with a specialization in Business Analytics, Operations, Inventory Management, or Supply Chain Analytics. - Proven experience of 7-9 years in a similar role - Proficiency in data analysis, budgeting, data visualization, programming languages (Python, R, SQL), and statistical analysis. - Excellent communication and influencing skills to effectively articulate complex ideas and build relationships with stakeholders. - Strong leadership abilities with experience in managing teams and driving successful outcomes. - Detail-oriented mindset with a focus on accuracy and precision in data analysis. - Ability to think critically and provide valuable insights for decision making. - A passion for continuous learning and staying updated with the latest industry trends and advancements. If you are a highly motivated and analytical individual with a passion for jewellery and driving business growth, we would love to hear from you. Join our team and contribute to our success as a Lead - Category Analyst (Jewellery). Apply now!

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Does innovative-thinking describe you? Then you may be our next Lead Data Scientist. In this role youll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations. What you will do Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries Lead experimental design for usability improvements and user growth, leveraging statistical rigor Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers What you will need A Bachelor's degree in Computer Science, Data Science, or a related field; a Masters is a plus 6--8 years of experience in data science with a strong track record of building and deploying ML solutions at scale Deep understanding of core ML techniques supervised, unsupervised, and semi-supervised learning along with strong foundations in statistics and linear algebra Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP Strong programming fundamentals and experience writing clean, maintainable, and production-ready code Excellent analytical and problem-solving skills the ability to extract actionable insights from messy and high-volume data Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design Experience designing and interpreting A/B tests, including uplift measurement and segmentation Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions Bonus points for: Experience with reinforcement learning or sequence modeling techniques Contributions to ML libraries, internal tools, or research publications

Working with data cleaning, processing, and analyzing it to identify patterns, trends, and insights Data collection, data quality assessment data modeling developing reports and dashboards and communicating findings to stake holders A data analyst

Work with the founder and core team to build and optimize quant trading strategies. Use Python and ML to analyze market data. No prior finance experience needed—training in options and execution provided. Just bring curiosity and coding skills!

Role & responsibilities 12+ years of experience in Python, Statistical Analysis, Machine Learning, Deep Learning Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AIand MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities Only female candidates can apply. Preferred candidate profile

Role & responsibilities 4+years of experience in machine learning, deep learning. Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery Python Experience Preferred candidate profile Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AIand MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities

Roles and Responsibilities Conduct statistical analyses using Python, R, SAS, SQL, and other relevant tools to solve business problems. Develop predictive models and machine learning algorithms to drive business insights. Collaborate with cross-functional teams to design and implement data-driven solutions. Provide expert advice on statistical modeling, data mining, and analytics best practices. Stay up-to-date with industry trends and advancements in statistics and mathematics.

Must Have Experience in Python+SQL+Statistical analysis good to have Tableau & Power BI 3-4 Days Work from Office (Hybrid) NP Max 30days Whatsapp your CV on 8287377768 (Ayush) and mention DA there

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation

Must Have Experience in Python+SQL+Statistical analysis good to have Tableau & Power BI 3-4 Days Work from Office (Hybrid) NP Max 30days Whatsapp your CV on 8287377768 (Ayush) and mention DA there. Required Candidate profile Must Have Experience in Python+SQL+Statistical analysis good to have Tableau & Power BI 3-4 Days Work from Office (Hybrid) NP Max 30days Whatsapp your CV on 8287377768 (Ayush) and mention DA there

We are seeking a Market Research Analyst with 5-7 years of professional work experience to support our data & marketing teams in gathering, analyzing & visualizing business data. Required Candidate profile Strong proficiency in Adv. Excel, SQL, Python (BeautifulSoup/Selenium), Tableau, Data Visualization ,Statistical Analysis, Web scraping tools (ParseHub, Octoparse), SaaS Research and Analysis

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.