9 Regression Techniques Jobs

Role Overview: We are seeking an experienced Senior Marketing Mix Analyst with 57 years of strong hands-on and leadership experience in Marketing Mix Modeling (MMM) and broader Marketing Analytics functions. The role requires both deep statistical expertise and strong stakeholder management skills to interface directly with business, brand, and media teams. Key Responsibilities: 1. Lead the design, development, and delivery of Marketing Mix Models using media, sales, and promotional datasets 2. Quantify the impact of various marketing channels (TV, digital, in-store, etc.) on sales and KPIs 3. Build robust models using regression techniques, adstock/decay, base vs. incremental decomposition 4. Interpret model outcomes and provide actionable insights and optimization recommendations 5. Manage stakeholder discussions and translate business briefs into analytical plans 6. Guide and mentor junior analysts in model building and data preparation 7. Contribute to business planning, ROI evaluation, and forecasting initiatives Key Skills & Tools: 1. Strong hands-on in Marketing Mix Modeling / econometric modeling 2. Exposure to Price-Promotion, RCM, and Sales Forecasting 3. Excellent command over Python 4. Strong with Excel, SQL, and visualization (Power BI or Tableau is a plus) 5. Proven ability to work with marketing data: TV, Digital, Distribution, Nielsen RMS/RA Preferred Background: 1. Worked in FMCG, retail, media analytics, or marketing consulting projects. 2. Comfortable working independently and owning end-to-end delivery

The role based in Gurgaon involves being a part of the data science team, collaborating closely with business analysts and the technology team to deliver the Data Science aspect of projects and products. Your responsibilities will include conducting data exploration to solve specific problems, researching suitable methods for solutions, setting up machine learning processes tailored to project requirements, contributing to the development of a Data Science platform, coding solutions, explaining concepts to clients, integrating Data Science solutions with technology, as well as data cleaning and structuring. The nature of your work will vary based on the project stage, available engagements, and your individual skill set. To excel in this position, you should have a minimum of 2-6 years of experience in Machine Learning, including deep learning methods, algorithm design, analysis, development, and performance enhancement. You must possess a strong grasp of statistical and predictive modeling concepts, machine learning techniques, clustering, classification, regression, and recommendation algorithms. Familiarity with Time Series Analysis, optimization techniques, and working with solvers for MILP and global optimization is essential. You are expected to have practical experience in exploratory data analysis, feature design and development, as well as applying and evaluating ML algorithms in predictive modeling scenarios across various industries such as FMCG, Media, E-commerce, and Hospitality. Proficiency in Python is a must, and familiarity with PySpark is advantageous. You should be able to write production-ready code with reusable components, adhere to coding standards and best practices, design data science architectures for solution repeatability, manage the entire cycle from data preparation to client presentations, and work comfortably on AWS, including managing data science servers. As a team player with excellent communication and interpersonal skills, you should also have a good understanding of Natural Language Processing and its applications. The desired skills for this role include Machine Learning (ML), Natural Language Processing (NLP), Python, and Data Science.,

You are a skilled and experienced Senior Data Scientist with a strong focus on Natural Language Processing (NLP), recommendation engines, and neural search technologies. With over 5 years of relevant experience, you have a proven track record of developing and deploying sophisticated data-driven models and systems. In this role, you will play a critical part in shaping the future of data products and services. Your key skills include holding a BTech/BE degree, proficiency in Python, data structures, and system design. You have experience with NumPy and Pandas, and possess knowledge of neural networks such as CNN, GANs, CGAN, Transformers, RNN, and LSTM. You are adept at fine-tuning embedding models like SBERT and E5, along with experience in fine-tuning and quantizing LLMs using PyTorch/TensorFlow. Your understanding spans across natural language processing (NLP), recommender systems, part-of-speech tagging (POS), and named entity recognition (NER). Additionally, you have skills in forecasting, classification, and regression techniques. As a Senior Data Scientist, your responsibilities include creating Machine Learning (ML) models for various product needs, analyzing client data to comprehend the data and the issues, managing data changes and model performance over time, improving embedding and large language models (LLMs), enhancing retrieval-augmented generation (RAG) pipelines, and developing feedback loops for ML models. If you are ready to take on this challenging role and contribute to the innovative field of data science, we encourage you to reach out to us via email at careers@grazitti.com. You can also visit us at Plot No. 198, Industrial Area Phase II, 134113, Panchkula, Haryana, India.,

About the Team You will be joining a team at Meesho that is dedicated to democratizing internet commerce for everyone in India. The Business organization's main goal is to actively lead this mission and drive growth from the forefront. As a Senior Manager - Business Analytics, your role will be pivotal in expanding across all categories. Your team will be responsible for the end-to-end process of launching and scaling up categories by ensuring appropriate selection, competitive pricing, and conversion rates. Each category team consists of an SBM/BM and a group of ABMs, KAMs, and BD Executives. Collaboration with the category marketing team and other category teams, as well as close coordination with Product, Supplier Growth, User Growth, and Fulfillment & Experience teams, will be essential for success. Personal growth, enjoyment at work, and regular 1-1s, monthly outings, and timely rewards and recognition are key aspects of our team culture. About the Role If you are passionate about making a difference, working with data, creating solutions, and enhancing processes, this role is for you. We are seeking a forward-thinking and problem-solving candidate to join us as Manager - Business Analytics. In this role, you will be a visionary leader who strategizes and scales by empowering team members to deliver results. Collaboration with other functions such as Product, Tech, and Fulfillment will be crucial. You will also receive regular feedback on your work from the CEO and other C-level leaders. What you will do - Conduct data analysis and develop solutions based on insights gathered from data - Provide insights to management and contribute to strategic planning - Analyze metrics, key indicators, and other data sources to identify process defects" root causes - Support business development and assist in creating efficient designs and solution processes - Ensure optimal resource utilization - Collaborate with internal partners to meet and exceed customer service levels & transport-related KPIs - Identify and implement cost reduction opportunities - Demonstrate excellent problem-solving, task prioritization, follow-up, and customer service skills - Drive deep insights into PACE Business and promote continuous improvement through analysis - Quickly understand business requirements or identify the root cause of specific business issues - Propose solutions to meet requirements or resolve underlying problems - Validate data accuracy for new and existing tools What you will need - 8-10 years of experience in Business Intelligence - Proven track record as an Analytics Manager - Strong background in data analysis and reporting; industry experience is a plus - Proficiency in Python, SQL, and regression techniques - Excellent communication and team management skills - Strong analytical and organizational abilities - Attention to detail and problem-solving aptitude - Bachelor's degree in computer science, Statistics, Data Management, or a related field - Experience in team management with at least 3+ years of handling 7 to 10 employees About us Meesho is more than just a platform; we are your partner in transforming dreams into reality. With a focus on democratizing internet commerce for everyone, we aim to empower millions of small businesses in India to succeed online. Our unique business model and continuous innovation have positioned us as the first Indian horizontal E-commerce company. Culture and Total Rewards At Meesho, we are committed to creating a dynamic workplace that values high impact and performance excellence. Our people-centric culture prioritizes hiring and developing exceptional talent. We offer market-leading compensation, including cash and equity-based rewards tailored to individual roles, experience, and skills. Our comprehensive total rewards package encompasses monetary and non-monetary elements, tangible and intangible benefits, and a people-centric work environment focused on holistic wellness. We provide extensive medical insurance for employees and their families, wellness initiatives, generous leave policies, parental support benefits, retirement benefits, learning and development assistance, and more to support work-life balance and employee well-being. Our guiding principles, or "Mantras," influence all aspects of our operations, from recognition and evaluation to growth discussions, promoting employee delight at the workplace. Learn more about Meesho at [www.meesho.io](https://www.meesho.io/),

About the Team With almost 4 Lakh entrepreneurs aboard the Meesho app, we are all set to democratise internet commerce for everyone in India. Our primary responsibility, as the Business org, is to actively drive this mission from the frontlines. As Manager - Business Analytics, you will play a huge role in driving growth across all categories. Our team holds end-to-end responsibility to launch and scale-up categories, by ensuring the right selection, competitive pricing, and conversion. Each category team has an SBM/BM and a group of ABMs, KAMs, and BD Executives. Within the business team, you'll closely work with the category marketing team and other category teams. Beyond this, you will also work closely with the Product, Supplier Growth, User Growth, and Fulfillment & Experience teams. We focus on personal growth and fun at work just as much as we do on working hard. That is why, we have regular 1-1s, monthly outings, and timely rewards and recognitions. About the Role If you love making impacts, working with data, creating solutions, and have a knack for finding ways to improve processes. We are looking for a problem-solving, forward-thinking candidate for this role. As Manager - Business Analytics, you will be a leader who can build long-term visions. You will strategize and scale by empowering others in the team as they deliver results while working across other functions such as Product, Tech, and Fulfillment. You will also receive regular feedback on your work from the CEO and other C-level leaders. What you will do Data analysis and solution building based on insights captured from data Responsible for giving insights to management and helping in strategic planning Analyse metrics, key indicators, and other available data sources to discover the root causes of process defects Support business development and help to create efficient designs and solution processes Determine efficient utilization of resources Actively engage with internal partners throughout the organization to meet and exceed customer service levels & transport-related KPIs Research and implement cost reduction opportunities. Excellent problem-solving, task prioritization, follow-up, and customer service skills The BA Manager is responsible for driving deep insights into PACE Business and driving continuous improvement using the analysis. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue Draft solutions to meet requirements or resolve the root problems Ensure data accuracy by validating data for new and existing tools What you will need 6 to 8 yr of experience in Business intelligence Proven experience as an Analytics Manager Solid experience in data analysis and reporting industry experience is a plus Experience in Python, SQL, and regression techniques Superb communication and team management skills Analytical skills and strong organizational abilities Attention to detail Problem-solving aptitude Bachelor's degree in computer science, Statistics, Data Management, or a related field 3+ Years of team handling. Managing at least 7 to 10 employees About us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform we're your partner in turning dreams into realities. Curious about life at Meesho Explore our Glassdoor - our people have a lot to say and they've helped us become a loved workplace in India. Our Mission Democratising internet commerce for everyone - Meesho (Meri Shop) started with a single idea in mind: to be an e-commerce destination for Indian consumers and to enable small businesses to succeed online. We provide our sellers with benefits such as zero commission and affordable shipping solutions in the market. Today, sellers nationwide are growing their businesses by tapping into Meesho's large and diverse customer base, state-of-the-art tech infrastructure, and pan-India logistics network through trusted third-party partners. Affordable, relatable merchandise that mirrors local markets has helped us connect with internet users and serve customers across urban, semi-urban, and rural India. Our unique business model and continuous innovation have established us as a part of India's e-commerce ecosystem. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprise a comprehensive set of elements - monetary, non-monetary, tangible, and intangible. Our 9 guiding principles, or Mantras, are the backbone of how we operate, influencing everything from recognition and evaluation to growth discussions. Daily rituals and processes like Problem First Mindset, Listen or Die, our Internal Mobility Program, Talent Reviews, and Continuous Performance Management embody these principles. We offer competitive compensation - both cash and equity-based - tailored to job roles, individual experience, and skill, along with employee-centric benefits and a supportive work environment. Our holistic wellness program, MeeCare, includes benefits across physical, mental, financial, and social wellness. This includes extensive medical insurance for employees and their families, wellness initiatives like telehealth, wellness events, and fitness-related perks. To support work-life balance, we offer generous leave policies, parental support, retirement benefits, and learning and development assistance. Through personalized recognition, gratitude for stretched work, and engaging activities, we promote employee delight at the workplace. Additional benefits such as salary advance support, relocation assistance, and flexible benefit plans further enrich the Meesho experience. Know more about Meesho here :

Role Overview: We are seeking an experienced Senior MMM Analyst with 57 years of strong hands-on and leadership experience in Marketing Mix Modeling (MMM) and broader Marketing Analytics functions. The role requires both deep statistical expertise and strong stakeholder management skills to interface directly with business, brand, and media teams. Key Responsibilities: 1. Lead the design, development, and delivery of Marketing Mix Models using media, sales, and promotional datasets 2. Quantify the impact of various marketing channels (TV, digital, in-store, etc.) on sales and KPIs 3. Build robust models using regression techniques, adstock/decay, base vs. incremental decomposition 4. Interpret model outcomes and provide actionable insights and optimization recommendations 5. Manage stakeholder discussions and translate business briefs into analytical plans 6. Guide and mentor junior analysts in model building and data preparation 7. Contribute to business planning, ROI evaluation, and forecasting initiatives Key Skills & Tools: 1. Strong hands-on in MMM / econometric modeling 2. Exposure to Price-Promotion, RCM, and Sales Forecasting 3. Excellent command over Python 4. Strong with Excel, SQL, and visualization (Power BI or Tableau is a plus) 5. Proven ability to work with marketing data: TV, Digital, Distribution, Nielsen RMS/RA Preferred Background: 1. Worked in FMCG, retail, media analytics, or marketing consulting projects. 2. Comfortable working independently and owning end-to-end delivery

Navi is a rapidly growing financial services company in India that offers a range of products including Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. The mission of Navi is to provide digital-first financial solutions that are easy to use, accessible, and affordable. Leveraging our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to creating exceptional customer experiences. As a Navi_ite, you should embody the following qualities: - Perseverance, Passion, and Commitment: Demonstrate dedication, passion for Navi's mission, and ownership by going above and beyond in your responsibilities. - Obsession with high-quality results: Consistently deliver value to customers and stakeholders by producing high-quality outcomes, ensuring excellence in all work aspects, and achieving high standards through efficient time management. - Resilience and Adaptability: Quickly adapt to new roles, responsibilities, and changing circumstances while demonstrating resilience and agility. The role involves: - Monitoring delinquent accounts to meet Company standards - Evaluating underwriting model stability and recommending policy actions to increase approval rates or reduce risk - Developing and maintaining loss forecasting models and ECL provisioning for accounting purposes - Implementing a portfolio monitoring and early warning alert system for loan book health - Utilizing data for decision-making, ensuring data accuracy, defining metrics for process improvement, and identifying areas for product and process enhancement through customer segmentation and analysis - Working with the engineering and data platform team to ensure data availability and reliability Desired Candidate Profile: - Experience in managing multiple stakeholders - Startup mindset - Team building skills - Proficiency in SQL, any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight, etc.) - Understanding of basic statistical concepts and data platforms - Ability to identify relevant data for solving business problems and validating hypotheses - Prior experience in data modeling in R/Python and classification/regression techniques (Good to have) - Prior experience/understanding of lending/insurance/banking domain (Good to have),

Role : Business Planning Manager Experience : 8 to 10 years Job Location : Mumbai(We can hire from Pan India) Mode of work : Hybrid, need to travel to Mumbai office as per business requirement at their own cost. Shift timing : UK timings 1pm to 10pm5 days/ working Mon to Fri Skillset required Knowledge and application of planning theories and forecasting methods e.g. Regression techniques and Planning specific software. Good knowledge of workforce management processes and principles. Resource Planning. Managed a team of up to 40 Planning specialists. Delivery or Dialer knowledge, Responsible for Planning for approx. 1,500-2,000 heads across various clients Job description To manage and develop a team of Planning & Delivery specialists whose focus is to optimize resource in operational units, ensure achievement of contractual service levels and make recommendations for continuous improvements. To manage client (Operations) relationships and expectations from a resource and future capacity planning perspective. The successful candidate(s) will be a key member of Resource Optimization in South Africa. Key responsibilities Design and implement resource requirements or propose new modelling solutions in response to client issues or additional work stream requests Identify behavioral operational issues/trends that impact on profitability (i.e. available time, schedule adherence) and work with General Managers, representing Planning on the Client Action Team, to address such issues developing continuous improvement strategies that optimize the profitability of clients Work with General Managers to ensure that contracted service levels are met by improving schedule efficiency, utilization, adherence and productivity and proactively identify service delivery issues working with General Managers, Operations Managers and the Client (where appropriate) to resolve issues/amend contract commercials assisting in the achievement of adherence. Analyze client specific information, such as long-term forecasts and call routing strategies between clients own and Company call centers to improve the efficiency of their business through better utilization of their resources Work with General Managers, Operations Managers and Clients to set, achieve and maintain the Dialer strategy, improving performance and ensuring that Company comply and maintain compliance with Ofcom regulations e.g. abandon rate targets Influence and assist General Managers in prioritising client specific requirements, to deliver overall optimal business benefit and assist in managing client expectations. Manage, motivate and develop a team of up to 10 direct reports with overall responsibility for management of a larger team of Planning specialists to ensure delivery of high quality output Manage redeployment processes and utilization of resource across the business to ensure optimum business efficiency Formulate budget assumptions and future resource requirements for existing clients to enable Commercial and Operations to agree yearly budget and/or reforecast Formulate actual and future resource requirements to support business decisions around training and recruitment Responsibility for authorizing planning aspects for client areas to enable accurate billing to take place Accountability for accuracy of clients capacity (FTE & Space) plans and scheduling accuracy Client Services May be required to attend client workshops to give effective feedback on opportunities to improve customer journeys and client services offered Decision Making: Staffing/seating requirements for existing units, new units and new Bids Re-deployment of staff between units (may be due to decrease/increase in business) Strong analytical and organization skills, including trend analysis Proficient with time management Ability to plan, prioritize and organize effectively / detail-oriented. Demonstrated ability to work independently, take initiative, problem solve, handle multiple tasks, and prioritize daily responsibilities Influence decisions: Nature of commercial deals Delivery of calls from client Finance (e.g. budgets, revenues, etc.) Impacts on business unit employee and overhead costs. Advises managers on how to run the unit as profitably as possible, looking at available time, holidays etc Impacts on business unit achievement of service levels and therefore requirement/non-requirement to pay commercial penalties Impacts potential future revenue streams. Instrumental part of the bid process by designing innovative and cost-effective resourcing solutions. Non-Financial (e.g. products, markets, people, etc.) Focus on Resource Planning, Service Delivery or Dialer Responsible for maximizing the efficiency of desk utilization within the call center. Responsible for managing a team of up to circa 40 Planning specialists Key direct interface with internal and external clients providing specialist Planning, Service Delivery or Dialer knowledge Responsible for Planning for approx. 1,500-2,000 heads across various clients Responsible for ensuring compliance with Ofcom regulations regarding Dialer abandon rates. Implementation of Guidance and Policy Implements, maintains and manages the cascading of all relevant Company policies & procedures to team members Reports all Health & Safety incidents to the Occupational Health and Safety Officer on site. ORGANIZATION VALUES: Implement and practice the Company Values through practical application of the behaviour required as a VALUES champion and actively pursue our promise of a great experience again and the purpose of helping to enable other. Skills & Knowledge: Knowledge and application of planning theories and forecasting methods e.g. Regression techniques Knowledge and application of Call Centre switches/network level routing /skill- based routing desirable Knowledge and application of Planning specific software Good knowledge of workforce management processes and principles Key Competencies Skills and Abilities (what must I be able to do / display): Excellent problem solving Strong numerical background Ability to demonstrate results to reflect quality and timely delivery Good understanding of call centre type statistics and systems Teamwork required to integrate and work collaboratively within the planning team Management/Supervisory Responsibility: This role does have supervisory responsibility.

The position of Risk Methodology Specialist at Deutsche Bank as an Assistant Vice President involves contributing to the bank's balance sheet and income statement modelling methodologies to support various end uses such as stress testing, interest rate risk in the banking book, liquidity, and planning. As an AVP, you will be responsible for managing relationships with Business/Risk/Treasury/Finance model stakeholders, executing model development protocols, critically evaluating information from multiple sources, and working independently with team leads/teams/management. The role requires a candidate with very good English communication skills to effectively coordinate and communicate with stakeholders globally. The candidate should possess people skills and be able to handle complex situations. The responsibilities also include contributing to model development, authoring model documentation, analyzing assumptions, weaknesses, and compensating controls, creating proof of concept case studies, and exploring alternative modelling approaches. The ideal candidate should have experience in model development for Banking or Capital Markets at a top-tier bank or consulting firm. Solid banking business knowledge, strong experience in R Studio and/or Python, and a degree from a top-tier institution with a quantitative concentration are essential. The role demands strong quantitative skills, including knowledge and modeling experience in areas such as PPNR, Credit Risk, Market risk, and relevant interdependencies. Proficiency in at least one programming language, strong written and verbal communication skills, and behavioral skills like Collaboration, Teamwork, Integrity, Trust, and Fairness, among others, are crucial for this role. Educational qualifications include a University graduate or equivalent degree in finance, economics, mathematics, statistics, or engineering. Masters qualifications or above would be considered an advantage. Deutsche Bank offers training, development, coaching, and a culture of continuous learning to aid progression. The bank promotes a positive, fair, and inclusive work environment where employees are empowered to excel together every day. If you are looking to excel in your career in a dynamic and supportive environment, this role at Deutsche Bank might be the right fit for you.,