Urgent! Senior Data Scientist - Artificial Intelligence/Machine Learning Job Opening In Bengaluru – Now Hiring Magna Hire
<p><p><b>Description : </b><br/><br/>We're looking for a highly skilled Senior Data Scientist & Analytics Lead to join our team.
In this pivotal role, you'll be a force multiplier, leveraging data to drive strategic decisions, build scalable analytics solutions, and develop AI-powered systems.
You'll partner with engineering, product, and leadership to own the full analytics lifecycle from building robust data pipelines to deploying advanced models and delivering clear, actionable insights.<br/><br/>This is a unique opportunity for a hands-on technical leader who is passionate about both deep-dive analysis and building the foundational data infrastructure that powers our growth.
You'll be a key voice in shaping our data strategy, and as we grow, this role is perfect for someone looking to build and lead a data team.<br/><br/><b>Responsibilities : </b><br/><br/><b>Analytics and Strategic Insights :</b></p><p><p><b><br/></b></p>- Transform complex, messy data into clear, actionable insights and narratives that directly impact product, marketing, and business strategy.<br/><br/></p><p>- Conduct in-depth exploratory analysis to identify growth opportunities, surface unusual patterns, and provide data-driven recommendations.<br/><br/></p><p>- Build intuitive, client-facing dashboards and reports that empower both internal teams and customers to make strategic decisions.<br/><br/><b>Data Engineering and Architecture : </b><br/><br/></p><p>- Design, build, and maintain end-to-end ETL processes and data pipelines to ensure data integrity, security, and compliance.<br/><br/></p><p>- Own our data warehouse, including ingestion, transformation, and orchestration, ensuring it is scalable and performant.<br/><br/></p><p>- Design and optimise data models to ensure they are well-documented and support analysis, reporting, and AI use cases.<br/><br/></p><p>- Collaborate with engineering teams to improve event logging and ensure data quality across all systems.<br/><br/><b>AI and Predictive Modelling : </b><br/><br/></p><p>- Develop, train, and deploy predictive models for various use cases, including anomaly detection, risk assessment, and trend forecasting.<br/><br/></p><p>- Deep expertise in ML algorithms (including supervised and unsupervised methods), loss functions, regularisation techniques, and probability distributions<br/><br/></p><p>- Utilise AI and LLMs to parse unstructured data and automate complex tasks, continually refining workflows and prompts.<br/><br/></p><p>- Monitor model performance and agent-generated data signals to detect anomalies and key drivers.<br/><br/><b>Requirements : </b><br/><br/></p><p>- Experience : 4+ years of hands-on experience in data science, analytics, or data engineering, ideally in a fast-paced, startup environment.<br/><br/></p><p>- SQL & Data Modelling Expertise : You are an expert in SQL and have a strong understanding of data modelling, schema design, and modern data warehouses (e.
g., Databricks, BigQuery, Snowflake, Redshift).</p><p><br/></p><p>- Python Proficiency : You are fluent in Python and have practical experience with machine </p><p>learning frameworks (e.
g., TensorFlow, PyTorch, Scikit-learn).<br/><br/></p><p>- Firm grasp of statistical and stochastic models, and hypothesis testing(e.
g., t-tests, ANOVA, </p><p>chi-square for inferential stats and p-value analysis).
Proficiency in optimisation algorithms like </p><p>Bayesian optimisation, genetic algorithms, and particle swarm optimisation.<br/><br/></p><p>- Data Stack Experience : You have hands-on experience with modern data stacks and tools for </p><p>ingestion, transformation, and orchestration.<br/><br/></p><p>- Communication & Business Acumen : You can translate technical findings into strategic recommendations and communicate effectively with both technical and non-technical stakeholders.<br/><br/></p><p>- Experience with BI tools like Metabase, Looker, or Tableau.<br/><br/></p><p>- Familiarity with AI/LLMs (prompting, evaluation, and fine-tuning).<br/><br/></p><p>- Experience with analytics platforms such as GA4 Adjust, Mixpanel, Amplitude, Firebase, </p><p>AppsFlyer, and HotJar.<br/><br/></p><p>- Experience with advertising engines like Google Ads, Meta Ads, or TikTok Ads, including data </p><p>extraction, analysis, and optimisation.</p><br/></p> (ref:hirist.tech)
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in Bengaluru, India (Graphical Representation)
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Great news! Magna Hire is currently hiring and seeking a Senior Data Scientist Artificial Intelligence/Machine Learning to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a Senior Data Scientist Artificial Intelligence/Machine Learning Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Data Scientist Artificial Intelligence/Machine Learning typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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