Python Developer Graduate Experience Jobs in Mumbai

Job Title: Data ScientistExperience: 7+ YearsLocation: USA/Canada (Remote) or Offshore (Remote)Working Hours: USA ESTJob Description:We are looking for experienced Data Scientists with proven expertise in building Media MixModels (MMM) and Multi-Touch Attribution (MTA) models for a long-term engagementwith Univision. The ideal candidates should have a strong background in AdTech, datascience, and analytics, with the ability to derive actionable insights from large datasets inthe media and OTT domain.Key Responsibilities: Develop advanced MMM (Media Mixed Modeling) and MTA (Multi-touch Attribution)models to optimize marketing and advertising strategies Analyze large volumes of structured and unstructured data to uncover trends,correlations, and actionable insights Build and deploy machine learning models and predictive algorithms to solve complexbusiness problems Gather data from diverse sources, clean and transform it for analysis Apply statistical techniques to validate models and ensure accuracy and reliability Automate analytical workflows and repetitive tasks using AI tools and scripting languages Create compelling visualizations, dashboards, and reports to communicate insights acrossteams Collaborate with cross-functional teams including AdSales, Data Engineering, andAnalytics Stay updated on the latest developments in AI, machine learning, and media analyticsRequired Skills & Experience: Specific MMM Experience: Bayesian methods, causal inference, incrementality testing MTA Expertise: Attribution modeling, customer journey analysis, touchpoint optimization Tools: Python (scikit-learn, statsmodels), R (prophet, CausalImpact), SQL,Tableau/PowerBI 6+ years of experience in data science, analytics, or machine learning roles At least 3 years of experience in AdTech or AdSales systems Hands-on experience in developing MMM and MTA models Strong understanding of OTT, digital media, and advertising ecosystems Proficiency in programming languages like Python, R, or SQL for data manipulation andmodeling Experience working with large datasets, data pipelines, and BI/reporting tools Familiarity with statistical methods, experiment design, and model evaluation metrics Excellent problem-solving, communication, and stakeholder management skil

Mandatory Criteria (Can't be neglected during screening) : Looking for Only BTech and BE candidates. Candidate should have Hands-on development experience as Data Analyst and/or ML Engineer. Candidate must have Coding experience in Python. Need candidates with atleast 1-2years of ML experience. Candidate should have Good Experience with ML models and ML algorithms. Need Experience with statistical modelling of large data sets. Looking for Immediate joiners or max. 30 days of Notice Period candidates. The candidates based out of these locations - Bangalore, Pune, Hyderabad, Mumbai, will be preffered. Kindly note Salary bracket will vary according to the exp. of the candidate - - Experience from 4 yrs to 5 yrs - Salary range - 15 LPA - 21 LPA max.- Experience from 6 yrs to 7 yrs - Salary range - 21 LPA - 25 LPA- Experience of 8 yrs to 9 yrs - Salary range - 30 LPA - 32 LPA- Experience 10 yrs to 12 yrs - Salary upto 40 LPA max.What You will do: Play the role of Data Analyst / ML Engineer Collection, cleanup, exploration and visualization of data Perform statistical analysis on data and build ML models Implement ML models using some of the popular ML algorithms Use Excel to perform analytics on large amounts of data Understand, model and build to bring actionable business intelligence out of data that is available in different formats Work with data engineers to design, build, test and monitor data pipelines for ongoing business operationsBasic Qualifications: Only BTech and BE candidates. Experience: 4+ years. Hands-on development experience playing the role of Data Analyst and/or ML Engineer. Experience in working with excel for data analytics Experience with statistical modelling of large data sets Experience with ML models and ML algorithms Coding experience in PythonNice to have Qualifications: Experience with wide variety of tools used in ML Experience with Deep learningBenefits: Competitive salary. Hybrid work model. Learning and gaining experience rapidly. Reimbursement for basic working set up at home. Insurance (including a top up insurance for COVID).