15 Mmm Jobs

Job Description Proficiency in Python scripting for data analysis and model development. Analyze marketing data to identify trends and areas for improvement. Conduct MMM analysis to evaluate the effectiveness of various marketing channels and strategies. Create and manage marketing performance reports to optimize marketing campaigns and strategies. Collaborate with cross-functional teams to gather and analyze data requirements. Ensure data accuracy and integrity in all reports and dashboards. Provide actionable insights and recommendations based on data analysis. Develop predictive models to forecast marketing performance and optimize budget allocation. Stay up-to-date with industry trends and best practices in marketing analytics and retail. Qualifications Required Skills and Qualifications: Proficiency in Python scripting, SQL, and PowerBI for data analysis and visualization. Strong knowledge of statistical modeling techniques and their applications in marketing mix modelling, including: Linear regression,Time series analysis, Multivariate techniques, Conjoint analysis, Experimentation Experience with MMM evaluation techniques, such as: Baseline vs. Incremental Sales Segmentation: Separating natural sales from those driven by marketing efforts. Sales Trend Analysis: Tracking patterns and trends over time. External Factors Consideration: Including variables like economic conditions, competitor actions, and seasonal factors.3-5 years of experience in marketing analytics, MMM, and data-driven decision-making. Excellent analytical and problem-solving skills.Strong communication skills to present data insights to stakeholders. Ability to work independently and as part of a team.Knowledge of retail industry practices and trends.

Role & responsibilities As Senior Data Scientist, you will be responsible for a wide range of engagements listed below: Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it. Applies business acumen in analyses to extract meaningful and actionable information. Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience. Leverages various analytical techniques, appropriate to solving the business problem at hand. Performs research for solutions and solves problems efficiently to overcome data analytics challenges. Engages in the collection, integration, analysis, and presentation of data for various business contexts Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them. Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like. Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering. Shares this knowledge with the rest of the data science team. Does peer reviews of codes and approaches of fellow members of the data science team. Provides mentorship to junior data scientists in the team. Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. 4 to 6 years experience is mandatory Preferred candidate profile Advanced knowledge in one or more areas besides Machine Learning Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale. Reinforcement Learning, Graph Machine Learning, Explainable Machine learning. Advanced understanding of Cloud technologies and experience of deploying applications on cloud.

Role Overview: We are looking for an experienced Data Scientist specializing in Market Mix Modeling (MMM) to join our team. The candidate will be responsible for developing predictive models to measure marketing effectiveness, optimize budget allocation, and derive actionable insights from large datasets. This role requires expertise in statistical modeling, machine learning, and data visualization to support data-driven decision-making for our premium FMCG Client. Roles & Responsibilities: 1.Develop and implement Market Mix Models (MMM) to evaluate the impact of marketing activities on sales and brand performance. 2.Analyze large-scale marketing, sales, and consumer data from multiple sources to uncover trends and insights. 3.Apply statistical techniques (e.g., regression modeling, time-series analysis, Bayesian modeling) to measure ROI across marketing channels. 4.Work with cross-functional teams to optimize media spend and marketing investments. 5.Use Python, R, SQL, and SAS for data extraction, cleaning, and modeling. 6.Build automated reporting dashboards using Power BI, Tableau, or Excel to visualize model outputs. 7.Conduct scenario analysis and simulations to forecast business outcomes. 8.Communicate technical findings to non-technical stakeholders, ensuring data-driven decision-making. 9.Continuously improve models by incorporating machine learning algorithms and external factors (macroeconomic, seasonal, competitive). 10.Collaborate with business teams to translate insights into actionable marketing strategies. Desired Candidate Skills: Bachelors/Masters degree in Statistics, Data Science, Economics, Mathematics, or a related field. 4-7 years of hands-on experience in Market Mix Modeling (MMM), econometrics, or marketing analytics. Strong expertise in statistical analysis, regression modeling, and causal inference techniques. Proficiency in Python, R, SQL, SAS, and experience with ML libraries (Scikit-learn, TensorFlow, XGBoost). Hands-on experience with BI tools (Power BI, Tableau, Looker) for data visualization. Prior experience in FMCG, Retail, or Consumer Goods industry is highly preferred. Strong business acumen and ability to translate data into actionable insights. Excellent stakeholder management and communication skills. Join us in leveraging data-driven strategies to optimize marketing effectiveness and drive business growth.

Senior Instrumentation Engineer - KOL00HR Company Worley Primary Location IND-WB-Kolkata Job Instrumentation and Controls Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Apr 30, 2025 Unposting Date May 30, 2025 Reporting Manager Title Principal Engineer We deliver the worlds most complex projects. Work as part of a collaborative and inclusive team. Enjoy a varied & challenging role. Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, were bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Senior Instrumentation Engineer with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. Should understanding of Instrumentation & Controls scope of work, project documentation, standards & guidelines before commencement of work. Exposure in instrumentation MMM projects, from basic engineering to detailed engineering and capable to support project execution, commissioning and handover. Experience to handle MMM proposal study and capable to prepare the query list, scope write-up and provide estimate by reviewing the RFP. Experience to deliver basic and detailed engineering deliverable for all instrumentation systems, including instrumentation specification, design documents and review design drawings. Preparation of Engineering Design Basis for Instruments and PCS, Review of P&ID, Instrument Index, I/O List, Cable/JB Block Diagram and other deliverables for Basic & Detailed engineering. Preparation of Data Sheet & specification for Field Instruments and Control systems, Network Architecture, Cause & Effect diagrams, Logic diagrams. Prepare Material Requisitions (MR), TBE and Purchase Requisition (PR). Conceptualize/prepare/review wiring diagrams, loop diagrams, control room layout, installation details, hook-up diagrams and level sketch. Experience in Junction Box (JB) grouping, JB wiring, cable schedule, Bulk Material Take-Off (MTO), cable level segregation, and conduit and cable tray selection and sizing. Experience in package engineering and capable to review and approve vendor data to ensure compliance with project requirements. Experience in reviewing 3D modelling using Navisworks or equivalent software and can guide & provide inputs to the designers. Should perform sizing calculation in InstruCalc, Conval or SPI sizing module for Flow Element, Valve, Thermowell. Capable of checking of deliverables as per project requirements and company standard. Hands-on experience in Smart Plant Instrumentation (SPI) for preparing instrument Index, data sheets, hook-up drawing, wiring diagram and loop drawings. Should have well versed in EDE and Query builder in SPI. Ensure effective communication among other engineering disciplines and manage changes effectively. Effectively communicate technical solutions and concepts to both engineers and designers. Ensure all instrumentation and control systems comply with safety, environmental, and industry regulations. About You To be considered for this role it is envisaged you will possess the following attributes Bachelors degree in Instrumentation Engineering from recognized University / Institution. More than 12 years of rich experience Instrumentation engineering, preferably in MMM/ MH sector including DRI, Battery Minerals and Ferrous, Non-ferrous Refinery projects. Proficient in Smart Plant Instrumentation (version 2016 onwards) is a must. Proficient in using sizing softwares like InstruCalc, Conval or SPI sizing module. Proficient in reviewing 3D model using Navisworks. Familiarity with industry standards and regulations, such as ISA, ASME, IEC, UL, CE, NEC & ATEX. Added preferenceHands-on experience in AVEVA Instrumentation, COMOS (preferred). Strong communication and leadership abilities. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. Were building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please noteIf you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley.

Job Description Company Overview Lifesight is a fast-growing SaaS company focused on helping marketers leverage their own data & advanced AI to improve marketing decision making. Our mission is to make it easy for non-technical marketers to navigate the privacy-first era with a modern and unified marketing measurement platform that is designed to drive incremental impact, optimize spend and achieve their business goals. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. We are a profitable company and our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Position Overview We are looking for a seasoned professional with deep experience in the marketing measurement industry to join and lead our marketing science team. The marketing science team at Lifesight sits in the intersection of customer success, sales and marketing. In this role, you will be responsible for managing our marketing science team and its initiatives. You will be responsible for driving revenue by closing deals and ensuring that our customers' needs are met. You will also be responsible for evangelizing our platform in the market through online and offline activities in order to drive demand and build trust. You will get the unique opportunity to work on growing a trending AI-powered measurement platform, in a massive industry and get to truly drive its adoption & success. What Youll Do Manage a team of marketing scientists who assist in solving our customer measurement needs using Marketing Mix Modeling, universal attribution, incrementality testing and causal inference. Evangelize our UMM platform, articulating its value proposition to a diverse range of brands across multiple industries. Own and achieve a revenue target for the US market driven through strategic initiatives that you set up. Study and understand the customers business goals and KPIs to offer expert recommendations and actionable insights to achieve them using our platform. Manage the portfolio of customer accounts, communications and engagement with the support of our team of customer success and support executives, to ensure customer satisfaction. Craft compelling thought leadership content for social media and other channels to engage potential clients and industry leaders. Oversee custom consulting and professional services work for customers who require them. Contribute to our product roadmap and feature development alongside our product, data science and engineering team. Identify and stay ahead of industry trends, track competitor movements and find differentiators to continuously improve our offering and solutions. Work closely with global sales and marketing to ensure alignment and cohesiveness in go-to-market strategies. Train and coach new marketing scientists and other team members to enable career growth and skill development. Requirements You are perfect for the role if you: Bachelors degree or above in Business Management, BI/Analytics, Economics, Statistics, Mathematics and/or Marketing 6+ years experience with strong foundation in data science and/or marketing science, with significant experience in business analytics, marketing analytics, attribution modeling, marketing mix modeling, experimentation projects. Highly accomplished analytical professional with strong problem solving skills and great attention to detail. Proven track record of working with mid-market and enterprise brands across industries. Proven track record of managing teams and delivering results for customers. Excellent project management and account management capabilities, with exceptional customer communication and servicing skills Exceptional ability to communicate complex data science concepts in simple terms. Skilled in developing strategies that drive revenue and market share. Experienced in leveraging social media platforms for brand promotion and thought leadership. Ability to collaborate effectively with diverse global teams. Benefits Whats in it for you? As a team, we are concerned with not only the growth of the company but each others personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make peoples lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 6. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 7. Great benefits - apart from competitive compensation & benefits

Position: Senior Manager marketing Analytics Bengaluru, Karnataka Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bengaluru, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Responsibilities We are seeking an experienced and dynamic Senior Manager, Marketing Analytics to lead our team in delivering innovative data analytics, Marketing Analytics (Market Mix Modelling), MMM solutions to our clients. The ideal candidate will possess a technical background in data engineering, data science, or strategic business analytics, coupled with exceptional leadership and project management skills. As a Senior Manager, Delivery, you will be responsible for overseeing the end-to-end delivery of medium to complex projects, managing geographically distributed teams, and engaging with senior client stakeholders to ensure successful project outcomes. Key Responsibilities: Technical: Previous hands-on experience in the Data Analytics field, preferably in Marketing analytics, Market Mix Modelling Demonstrated ability to convert business problems into technical solutions and technical delivery roadmaps. Overall 9+ years of experience, progressively moving from technical roles to delivery management positions. Business: Lead the end-to-end delivery of medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Manage geographically distributed teams of 15-20 people, preferably in an agile delivery model. Conduct technical client presentations with support from Subject Matter Experts (SMEs) and Centers of Excellence (CoEs). Engage with senior stakeholders (Director level and above) from the client side to understand requirements and ensure alignment with project objectives. Ability to drive team to maintain high customer NPS on all parameters of- Quality of Deliverables,Timeliness,Technical Rigor, Business Grasp Behavioural: Demonstrate passion for the role and commitment to the company's objectives. Stay updated with the latest technological trends and demonstrate strong technical acumen. Possess excellent written and verbal communication skills. Utilize analytical and creative thinking skills to solve complex problems. Foster a collaborative team environment and exhibit self-driven initiative. Demonstrate strong problem-solving abilities and ability to navigate challenges effectively. Qualifications: Minimum 4 years Bachelor's degree Proven track record of successfully delivering medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Experience managing geographically distributed teams in an agile delivery model. Excellent leadership and stakeholder management skills, with the ability to engage with senior stakeholders effectively. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical expertise, and thrive in a fast-paced environment, we encourage you to apply for this exciting opportunity. Join us in driving innovation and delivering value to our clients through data-driven insights and solutions.. Why Should You Apply? Grow with Us: Be part of a hyper- growth startup with great opportunities to Learn & Innovate. People: Join hands with the talented, warm, collaborative team and highly accomplished leadership. Buoyant Culture: Embark on an exciting journey with a team that innovates solutions, tackles challenges head-on and crafts a vibrant work environment.

1. 4+ years of experience in MMM / Market Mix Modelling 2. Mandatory experience in R / R Shiny / R Studio

Job Description iSOCRATES is looking to add a Sr. Marketing Scientist to its growing Data Science team. The Marketing Scientist will lead the team that defines, describes, architects, reports on, analyzes, predicts, and proscribes audience, campaign and related media and marketing as well as select partner-focused Consulting and Managed Services engagements on behalf of supply-side and demand-side partners. The Marketing Scientist will support all managers and teammates in their day-to-day marketing and media activities across a variety of digital and offline media and marketing channels including, but not limited to display, mobile, video, social, native, email, direct mail, and advanced TV/Audio The Marketing Scientist will report directly to the Sr. Director, Product. iSOCRATES is seeking qualified candidates to work on-site, full-time in Bengaluru or Mysuru and who are eligible to travel to the U.S. Responsibilities Hands-on experience with media and marketing data and analytical teams. Hands-on experience with structured and unstructured audience, pricing and contextual data, analytics, and reporting. Hands-on experience with various rigorous statistical, econometric and Big Data methods to define requirements, design analytics solutions, analyze results, identify problems/opportunities, and optimize economic outcomes. Hands-on experience architecting and managing dynamic data from multiple disparate sources. Experience supporting programmatic, audience, CRM, DSP, DMP, and SSP systems is required. Strong analytical, data modeling, audience and price action data-focused sensibilities and skills is required. Hands-on knowledge of DSPs, SSPs, CDPs, DMPs is desired along with good understanding of integrating digital advertising and marketing data as it relates to creation, implementation, analysis, modeling, yield and optimization of supply and demand. The ability to manage your own work, multitask and work well with U.S., offshore and local team members must also be successful in this position. Excellent written and oral communication skills in English are needed plus English presentation and partner relationship building skills is required. Building and leading productive, service-oriented relationships between the Data Science department and other iSOCRATES departments and between the department and external stakeholders. Embodying, conveying, and sustaining Company Values, Mission, and Vision to direct and indirect reports. Data requirements, relationships, design, architecture, models, management, and evolution. Data collection implementations, management, quality assurance, validations, and optimizations Design and architecture of data collection, storage and analytics systems, specification, deployment, and use of tools for in-depth, complex analysis, predictive models, reporting and visualization builds, deployments, management, maintenance, and optimization. Expertise in propensity modeling, MMM (Market Mix Modeling), MTA (Multi-Touch Attribution), RFM (Recency, Frequency, Monetary) analysis, non-parametric methods and Bayesian statistics. Work directly with the Product and System development teams to design products for partners and operations on systems architected, implemented, and managed by the data and analytics, development, and support teams. Key deliverables for this role will be to analyze audience profiles, segments and attributes, revenue, value, bid behavior, bid density, anomalous trading behavior, and opportunities to create tradeable ad products and approaches. Working directly with BI/AI developers and engineers, traders, yield, operations, finance, sales, business development, product development, data science team members to ensure reliable data quality, completeness, predictions, and yield. Additional deliverables for this role will be to analyze ad inventory, eCPM, fill rate, audiences, anomalous trading behavior, exchange and customer online and offline purchase data, and opportunities to create tradeable ad/marketing approaches. Designing analytics dashboards and visualizations to monitor performance and develop optimizations of programmatic and audience informed media campaigns across business partners media channels: Website, Mobile Applications, Social Media platforms and more. Creating and delivering digital media audience insights and opportunities via advanced predictive modeling and analysis with the goal of offering real-time insights to key stakeholders ensuring campaigns are effectively analyzed for successful performance as well as keeping internal teams informed of overall company and business partner performance patterns and opportunities. Required/Desired Skills/Experience At least 7 years in Data and Predictive analytics design, build, modeling, mining, analysis, reporting and optimization with Publisher-side and/or Agency experience at data/tech provider, major media firm and/or Agency and/or Exchange and/or Ad Network. Minimum 3 years Publisher and/or Advertiser Audience Data Analytics and Modeling experience desired. Master’s and/or Ph. D, required in Math/Statistics/Engineering/Science/Business. Mastery of math, statistics, data collection, storage, management, mining and modeling, business intelligence, digital analytics and tools, marketing science (effectiveness and attribution), MMM, media research (RFM), web analytics (Google and/or Adobe), logistic regression, customer segmentation and lifetime value, persona building, scoring, Bayesian methods, parametric and non-parametric methods, and Machine Learning/Deep Learning (i.e., Python, R, mldb.ai, scikit and related ML libraries, Hadoop, Spark, MySQL, APIs, AWS S3). Experience in data architecture, databases, ETL, SQL, analysis, reporting and visualization, cloud-based distributed computing and predictive modeling is required. Strong understanding of digital advertising and digital data: website and email display advertising, social media, audience identification and targeting, etc. Experience building first-party and second-party data strategies, including creating hierarchies and first-party data attributes and segments. Experience designing, building, targeting, and managing DMP-based Audience Segments from 1st/2nd/3rd Party Data. Experience with at least some of the following programmatic, auction-based media systems: Xandr, Adobe Audience Manager, Oracle Audience Manager, LOTAME, Google DFP/DFA/DBM, AdX, TMS, Adobe Analytics, Google Analytics, FreeWheel, JW Player, tag creation and tag management, Operative, The TradeDesk, Beeswax, meta-DSPs, and/or multi-SSP configurations. Interest and ability to work in a fast-paced operation on our business's analytics and revenue side. Open for relocation to Bengaluru/Mysuru.

We are pleased to share an exciting job opportunity for the Manager- Data Science role with our client. Manager-Data Science (Marketing Mix Modelling) Location: Bengaluru What you will need At least 4 years hands on experience in Market Mix Modelling, with rich and complete data sets. R programming language is mandatory. •Degree or degree-level understanding of Economics, Maths, Stats, Sciences or another numerical subject •Experience in modelling projects for time series econometrics in the media or marketing industry strong Market Mix Modelling technical understanding and experience is required •An analytical mindset, able to approach issues and challenges from a variety of angles .Highly numerate, with strong mathematical acumen •Great communication skills Ability to prioritise Advanced Excel user •Strong knowledge of common modelling packages, Excel, PowerPoint, R or other programming language. In case you wish to pursue this role, please share your updated CV " bindu@hr-central.in "along with the following details: Current CTC: Expected CTC: Notice Period: Current Location: Preferred Location: Year of experience on MMM: Years of experience on R: Years of experience on SQL: Years of Experience on Python: Please mention the programming language that you have experience in:

Qualifications Education & Work Experience Requirements: •Bachelors degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience •Masters degree (relevant field like Computer Science, Economics, Statistics, Mathematics, Operational Research) with 2+ years work experience •1+ Years of Product management or Software development experience Candidates must have - •Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must. Experience with APIs, microservices, and DevOps practices is a plus •Understanding of Software Development Lifecycle and Agile methodologies •Exposure to product roadmap design and product management •Understanding of data structure, pipeline & architecture •Strong problem solving, business analysis and quantitative skills •Story Boarding - Ability to effectively communicate proposals to key stakeholders •Understanding of analytics tools like Tableau, PowerBI, Dataiku etc

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualifications Who we are looking for? Analyst with 2+ years & Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication.

1. Mandatory MMM / Market Mix Modelling experience - 9+ years 2. Mandatory experience in R 3. Hybrid Working 4. Bangalore Location

Position: Senior Manager marketing Analytics Bengaluru, Karnataka Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bengaluru, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Responsibilities We are seeking an experienced and dynamic Senior Manager, Marketing Analytics to lead our team in delivering innovative data analytics, Marketing Analytics (Market Mix Modelling), MMM solutions to our clients. The ideal candidate will possess a technical background in data engineering, data science, or strategic business analytics, coupled with exceptional leadership and project management skills. As a Senior Manager, Delivery, you will be responsible for overseeing the end-to-end delivery of medium to complex projects, managing geographically distributed teams, and engaging with senior client stakeholders to ensure successful project outcomes. Key Responsibilities: Technical: Previous hands-on experience in the Data Analytics field, preferably in Marketing analytics, Market Mix Modelling Demonstrated ability to convert business problems into technical solutions and technical delivery roadmaps. Overall 9+ years of experience, progressively moving from technical roles to delivery management positions. Business: Lead the end-to-end delivery of medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Manage geographically distributed teams of 15-20 people, preferably in an agile delivery model. Conduct technical client presentations with support from Subject Matter Experts (SMEs) and Centers of Excellence (CoEs). Engage with senior stakeholders (Director level and above) from the client side to understand requirements and ensure alignment with project objectives. Ability to drive team to maintain high customer NPS on all parameters of- Quality of Deliverables,Timeliness,Technical Rigor, Business Grasp Behavioural: Demonstrate passion for the role and commitment to the company's objectives. Stay updated with the latest technological trends and demonstrate strong technical acumen. Possess excellent written and verbal communication skills. Utilize analytical and creative thinking skills to solve complex problems. Foster a collaborative team environment and exhibit self-driven initiative. Demonstrate strong problem-solving abilities and ability to navigate challenges effectively. Qualifications: Minimum 4 years Bachelor's degree Proven track record of successfully delivering medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Experience managing geographically distributed teams in an agile delivery model. Excellent leadership and stakeholder management skills, with the ability to engage with senior stakeholders effectively. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical expertise, and thrive in a fast-paced environment, we encourage you to apply for this exciting opportunity. Join us in driving innovation and delivering value to our clients through data-driven insights and solutions.. Why Should You Apply? Grow with Us: Be part of a hyper- growth startup with great opportunities to Learn & Innovate. People: Join hands with the talented, warm, collaborative team and highly accomplished leadership. Buoyant Culture: Embark on an exciting journey with a team that innovates solutions, tackles challenges head-on and crafts a vibrant work environment.

Role Overview: We are looking for an experienced Data Scientist specializing in Market Mix Modeling (MMM) to join our team. The candidate will be responsible for developing predictive models to measure marketing effectiveness, optimize budget allocation, and derive actionable insights from large datasets. This role requires expertise in statistical modeling, machine learning, and data visualization to support data-driven decision-making for our premium FMCG Client. Roles & Responsibilities: 1.Develop and implement Market Mix Models (MMM) to evaluate the impact of marketing activities on sales and brand performance. 2.Analyze large-scale marketing, sales, and consumer data from multiple sources to uncover trends and insights. 3.Apply statistical techniques (e.g., regression modeling, time-series analysis, Bayesian modeling) to measure ROI across marketing channels. 4.Work with cross-functional teams to optimize media spend and marketing investments. 5.Use Python, R, SQL, and SAS for data extraction, cleaning, and modeling. 6.Build automated reporting dashboards using Power BI, Tableau, or Excel to visualize model outputs. 7.Conduct scenario analysis and simulations to forecast business outcomes. 8.Communicate technical findings to non-technical stakeholders, ensuring data-driven decision-making. 9.Continuously improve models by incorporating machine learning algorithms and external factors (macroeconomic, seasonal, competitive). 10.Collaborate with business teams to translate insights into actionable marketing strategies. Desired Candidate Skills: Bachelors/Masters degree in Statistics, Data Science, Economics, Mathematics, or a related field. 4-7 years of hands-on experience in Market Mix Modeling (MMM), econometrics, or marketing analytics. Strong expertise in statistical analysis, regression modeling, and causal inference techniques. Proficiency in Python, R, SQL, SAS, and experience with ML libraries (Scikit-learn, TensorFlow, XGBoost). Hands-on experience with BI tools (Power BI, Tableau, Looker) for data visualization. Prior experience in FMCG, Retail, or Consumer Goods industry is highly preferred. Strong business acumen and ability to translate data into actionable insights. Excellent stakeholder management and communication skills. Join us in leveraging data-driven strategies to optimize marketing effectiveness and drive business growth.

Position: Senior Manager marketing Analytics Bengaluru, Karnataka Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bengaluru, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Responsibilities We are seeking an experienced and dynamic Senior Manager, Marketing Analytics to lead our team in delivering innovative data analytics, Marketing Analytics (Market Mix Modelling), MMM solutions to our clients. The ideal candidate will possess a technical background in data engineering, data science, or strategic business analytics, coupled with exceptional leadership and project management skills. As a Senior Manager, Delivery, you will be responsible for overseeing the end-to-end delivery of medium to complex projects, managing geographically distributed teams, and engaging with senior client stakeholders to ensure successful project outcomes. Key Responsibilities: Technical: Previous hands-on experience in the Data Analytics field, preferably in Marketing analytics, Market Mix Modeeling Demonstrated ability to convert business problems into technical solutions and technical delivery roadmaps. Overall 9+ years of experience, progressively moving from technical roles to delivery management positions. Business: Lead the end-to-end delivery of medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Manage geographically distributed teams of 15-20 people, preferably in an agile delivery model. Conduct technical client presentations with support from Subject Matter Experts (SMEs) and Centers of Excellence (CoEs). Engage with senior stakeholders (Director level and above) from the client side to understand requirements and ensure alignment with project objectives. Ability to drive team to maintain high customer NPS on all parameters of- Quality of Deliverables,Timeliness,Technical Rigor, Business Grasp Behavioural: Demonstrate passion for the role and commitment to the company's objectives. Stay updated with the latest technological trends and demonstrate strong technical acumen. Possess excellent written and verbal communication skills. Utilize analytical and creative thinking skills to solve complex problems. Foster a collaborative team environment and exhibit self-driven initiative. Demonstrate strong problem-solving abilities and ability to navigate challenges effectively. Qualifications: Minimum 4 years Bachelor's degree Proven track record of successfully delivering medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains. Experience managing geographically distributed teams in an agile delivery model. Excellent leadership and stakeholder management skills, with the ability to engage with senior stakeholders effectively. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical expertise, and thrive in a fast-paced environment, we encourage you to apply for this exciting opportunity. Join us in driving innovation and delivering value to our clients through data-driven insights and solutions.. Why Should You Apply? Grow with Us: Be part of a hyper- growth startup with great opportunities to Learn & Innovate. People: Join hands with the talented, warm, collaborative team and highly accomplished leadership. Buoyant Culture: Embark on an exciting journey with a team that innovates solutions, tackles challenges head-on and crafts a vibrant work environment.