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Data Science Analyst - Media Analytics Job Opening In Bengaluru – Now Hiring D Square Consulting Services Pvt Ltd


Job description

<p><p><b>JD - Sr.</b> Data Scientist Media Analytics.<br/><br/></p><p>Experience : 7-8 years.<br/><br/></p><p>Location : Bangalore (Onsite).<br/><br/></p><p>Candidates who can join within 15 days may only apply.</p><p><b><br/></b></p><p><b>Job Summary :</b></p><p><br/></p><p>We are looking for a Senior Data Scientist to Support Media Use Cases with strong expertise in Media Analytics and a proven track record in driving marketing measurement and optimization.

The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-backed recommendations to optimize media Skills & Experience :</b></p><p><b><br/></b></p><p>- 7-8 years of experience in Data Science/Analytics with a strong focus on media measurement, marketing effectiveness, and performance optimization.<br/><br/></p><p>- A minimum of a bachelors degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Economics, or other related fields with emphasis on quantitative methods and solutions.

An advanced degree in a similar field is preferred.<br/><br/></p><p>- Experience in developing and implementing advanced analytics models, such as Customer Lifetime Value, NLP, Look-Alike models, and Anomaly Detection.<br/><br/></p><p>- Familiarity with large language models (LLMs) and generative AI is highly desirable.<br/><br/></p><p>- Ability to write (and refactor) robust code in Python, Spark, SQL, employing best practice coding standards and documentation.<br/><br/></p><p>- Proven experience with Databricks platform, Snowflake, and Azure cloud services.<br/><br/></p><p>- Experience in MLOps techniques, including CI/CD pipelines, automated testing, and model monitoring.<br/><br/></p><p>- Experience with BI tools such as Power BI, DOMO, and Tableau.<br/><br/></p><p>- Strong understanding of machine learning algorithms, data structures, and software design principles.<br/><br/></p><p>- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.<br/><br/></p><p>- Strong communication and interpersonal skills with the ability to collaborate and partner across diverse global multi-functional Qualifications :</b></p><p><b><br/></b></p><p>- Experience with classification models, time series forecasting, customer lifetime value models, large language models (LLMs), and generative AI.<br/><br/></p><p>- Preferably from the Retail, eCommerce, or CPG Responsibilities :</b></p><p><br/>- Develop and implement advanced analytics models for customer lifetime value, anomaly detection, and media mix modeling.<br/><br/></p><p>- Solve complex media optimization problems and conduct A/B testing to evaluate proposed solutions.<br/><br/></p><p>- Partner with domain leads and business stakeholders to clearly understand business requirements; design and develop analytical and AI solutions to drive recommendations that are clearly linked to the organization's strategy and OKRs, and drive performance improvement.<br/><br/></p><p>- Support the domain leads and business teams to solve complex analytical challenges.<br/><br/></p><p>- Work closely with cross-functional teams of business partners, data scientists, data engineers, solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutions including DL, ML, NLP, optimization, etc.<br/><br/></p><p>- Development, deployment, and maintenance of scalable AI solutions, including the optimization of data queries, code refactoring, shared library usage, and documentation of process and solution artifacts.<br/><br/></p><p>- Research and promote the latest technologies, design patterns, and best practice delivery models that drive optimal business value and ensure continuous improvement of the team, processes, and platforms.<br/><br/></p><p>- Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive performance improvement.<br/><br/></p><p>- Employ innovative thinking and always seek the best ways of working for our teams and business partners.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


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Are You Looking for Data Science Analyst Media Analytics Job?

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What Is the Average Salary Range for Data Science Analyst Media Analytics Positions?

The average salary range for a 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.

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Key qualifications for Data Science Analyst Media Analytics typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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D Square Consulting Services Pvt Ltd interview tips for Data Science Analyst   Media Analytics

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Before the Interview:

Research: Learn about the D Square Consulting Services Pvt Ltd's mission, values, products, and the specific job requirements and get further information about

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Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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To prepare for your Data Science Analyst Media Analytics interview at D Square Consulting Services Pvt Ltd, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the D Square Consulting Services Pvt Ltd's products or services and be prepared to discuss how you can contribute to their success.

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