To get the best candidate experience please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts Job Category Data Job Details About Salesforce Salesforce is the 1 AI CRM where humans with agents drive customer success together Here ambition meets action Tech meets trust And innovation isn t a buzzword it s a way of life The world of work as we know it is changing and we re looking for Trailblazers who are passionate about bettering business and the world through AI driving innovation and keeping Salesforce s core values at the heart of it all Ready to level-up your career at the company leading workforce transformation in the agentic era You re in the right place Agentforce is the future of AI and you are the future of Salesforce About the Company - We re Salesforce the Customer Company inspiring the future of business with AI Data CRM Leading with our core values we help companies across every industry blaze new trails and connect with customers in a whole new way And we empower you to be a Trailblazer too driving your performance and growth opportunities charting new paths and improving the state of the world If you believe in business as the greatest platform for change and in companies doing well and doing good - you ve come to the right place About the role We re looking for an experienced Data Scientist who will help us build marketing attribution causal inference and uplift models to improve the effectiveness and efficiency of our marketing efforts This person will also design experiments and help us drive consistent approach to experimentation and campaign measurement to support a range of marketing customer engagement and digital use cases This Lead Data Scientist brings significant experience in designing developing and delivering statistical models and AI ML algorithms for marketing and digital optimization use cases on large-scale data sets in a cloud environment They show rigor in how they prototype test and evaluate algorithm performance both in the testing phase of algorithm development and in managing production algorithms They demonstrate advanced knowledge of statistical and machine learning techniques along with ensuring the ethical use of data in the algorithm design process At Salesforce Trust is our number one value and we expect all applications of statistical and machine learning models to adhere to our values and policies to ensure we balance business needs with responsible uses of technology Responsibilities As part of the Marketing Effectiveness Data Science team within the Salesforce Marketing Data Science organization develop statistical and machine learning models to improve marketing effectiveness - e g marketing attribution models causal inference models uplift models etc Develop optimization and simulation algorithms to provide marketing investment and allocation recommendations to improve ROI by optimizing spend across marketing channels Own the full lifecycle of model development from ideation and data exploration algorithm design and testing algorithm development and deployment to algorithm monitoring and tuning in production Design experiments to support marketing customer experience and digital campaigns and develop statistically sound models to measure impact Collaborate with other data scientists to develop and operationalize consistent approaches to experimentation and campaign measurement Be a master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams Constantly learn have a clear pulse on innovation across the enterprise SaaS AdTech paid media data science customer data and analytics communities Required Skills 8 years of experience designing models for marketing optimization such as multi-channel attribution models customer lifetime value models propensity models uplift models etc using statistical and machine learning techniques 8 years of experience using advanced statistical techniques for experiment design A B and multi-cell testing and causal inference methods for understanding business impact Must have multiple robust examples of using these techniques to measure effectiveness of marketing efforts and to solve business problems on large-scale data sets 8 years of experience with one or more programming languages such as Python R PySpark Java Expert-level knowledge of SQL with strong data exploration and manipulation skills Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations Excellent written and verbal communication skills ability to work well with peers and leaders across data science marketing and engineering organizations Creative problem-solver who simplifies problems to their core elements B2B customer data experience a big plus Advanced Salesforce product knowledge is also a plus Unleash Your Potential When you join Salesforce you ll be limitless in all areas of your life Our benefits and resources support you to find balance and be your best and our AI agents accelerate your impact so you can do your best Together we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love Apply today to not only shape the future but to redefine what s possible for yourself for AI and the world Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment What does that mean exactly It means that at Salesforce we believe in equality for all And we believe we can lead the path to equality in part by creating a workplace that s inclusive and free from discrimination Know your rights workplace discrimination is illegal Any employee or potential employee will be assessed on the basis of merit competence and qualifications - without regard to race religion color national origin sex sexual orientation gender expression or identity transgender status age disability veteran or marital status political viewpoint or other classifications protected by law This policy applies to current and prospective employees no matter where they are in their Salesforce employment journey It also applies to recruiting hiring job assignment compensation promotion benefits training assessment of job performance discipline termination and everything in between Recruiting hiring and promotion decisions at Salesforce are fair and based on merit The same goes for compensation benefits promotions transfers reduction in workforce recall training and education
📌 Lead/staff Data Scientist (Telangana)
🏢 Important Group
📍 Telangana
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