computer scientist 2 Jobs in Digital Marketing Jobs In Noida

computer scientist 2

data science consultant Jobs in Digital Marketing Jobs In Noida

data science consultant

data scientist

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 Senior Data Scientists lead data analysis projects and provide strategic insights. Responsibilities include designing complex models, mentoring junior data scientists, and ensuring the quality of analytical work. You will work closely with business leaders to understand needs and deliver actionable insights. Extensive experience in data science and leadership skills are required.
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Data Scientist

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 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science,
 
 
 Machine Learning, or a related field.
 
 
 Proven experience as a Data Scientist with a focus on generative AI and
 
 
 large language models.
 
 
 Proficiency in programming languages such as Python, R, or Java.
 
 
 Experience with machine learning frameworks and libraries (e.g.,
 
 
 TensorFlow, PyTorch).
 
 
 Strong understanding of natural language processing (NLP) and deep
 
 
 learning techniques.
 
 
 Excellent problem-solving
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Lead Assistant Manager-Application Development-Applications Development Engineering

Infosys Consulting

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 Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Scientists. You should have between 7 to 18 years of Data Science experience.
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 Successful candidates will be part of a specialised customer-facing AI Labs team in our rapidly expanding Automation &amp; Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions.
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 You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge.
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 Infosys Consulting offers exceptional opportunity for personal growth and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation.
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 Responsibilities:
 
 
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 You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders
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 Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing
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 You will be confronted with a large variety of Data Science tools and other new technologies as well with a wide variety of IT, compliance, security related issues.
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 Design and develop world-class technology solutions to solve business problems across multiple client engagements.
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 Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.
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 Work closely with AI and A global team and with our Fortune 500 clients to build world-class solutions and to define AI strategy.
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 You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.
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 Strong verbal, written and presentation skills
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 As a Data Scientist, you will need to have strong programming skills and strong understanding of data science and Machine Learning tools.
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 You will be working on high impact initiatives with other Data Scientists across the globe
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 Requirements:
 
 
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 Bachelor's or master&rsquo;s degree/PhD in Statistics, computer science, information technology, or a similar field.
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 Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.
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 Expert level experience in Python or R.
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 Strong experience in machine learning algorithms like
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 Linear/Logistic regression,
 
 
 Random forest,
 
 
 SVM,
 
 
 Neural Networks,
 
 
 Deep Learning &ndash; CNN, RNN, LSTM
 
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 Exposure to NLP and Computer vision use cases.
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 In-depth knowledge of neural networks and architectures
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 Familiarity with the latest DL architectures.
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 Toolkits/Frameworks/Libraries - Pytorch, TF/Keras, Scikit-Learn, BERT
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 Experience in Machine Learning Lifecycle &ndash; Data Processing, Algorithm Benchmarking, Validation
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 Exposure to build an AI model from scratch
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 Exposure to Graph based databases is a plus.
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 Experience with relational databases.
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Data Science Consultant

NTT DATA North America

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 Req ID:
 
 351383
 
 
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Business Analyst - Banking &amp; Finance to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).
 
 
 
 Role:
 
 Business Analyst
 
 
 
 Domian
 
 : Banking &amp; Fianacial Service
 
 
 
 Key Skills:
 
 
 
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 BA skill set
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 Agile Exposure
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 Domain : Customer Onboarding, LOS , Core Banking
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 Process Automation / Improvement experienced
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 SQL - Data Analysis
 
 
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 About NTT DATA
 
 
 
 NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&amp;D.
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
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Business Analyst - Banking & Finance

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 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
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 3+ years of experience in data engineering or related roles.
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 Strong proficiency in SQL and relational database concepts.
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 Hands-on experience with GCP services (BigQuery, Dataflow, Cloud Storage, Pub/Sub).
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 Advanced programming skills in Python for data manipulation and automation.
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 Familiarity with data modeling, ETL frameworks, and workflow orchestration tools (e.g., Airflow).
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 Excellent communication and collaboration skills to work with technical and non-technical teams.
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Application Engineer

Jubilant FoodWorks Ltd.

<div>
 
 
 Key Responsibilities:
 
 
 
 
 
 As a member of the Product Analytics team and the larger Product organization, you will be responsible for tracking KPIs, analysing data on consumer journeys and funnels, &amp; sharing actionable insights for the Product teams about the digital customer behaviour and business outcomes on JFL&rsquo;s digital assets. Specific day to day responsibilities will include but will not be limited to:
 
 
 
 
 
 
 
 
 Identify and Track Product KPIs
 
 
 
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 Identify Product KPIs for defined feature / funnel / experience on the Mobile, Desktop and partner platforms.
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 Integrate the tracking of the KPI &amp; associated metrics into the development module. Own the end-to-end Implementation &amp; User-Acceptance-Testing of Google Analytics across Android &amp; iOS Apps, Mobile &amp; Desktop websites. Track each KPI obsessively on a daily basis.
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 Troubleshoot and debug existing analytics implementation.
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 Partner with key stakeholders and cross-functional teams to implement and track analytics initiatives across teams; Serve as the point of contact for analytics / tracking requests.
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 Hypothesis generation &amp; validation
 
 
 
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 Generate hypothesis basis data analysis that is associated with the defined features/experiences.
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 Identify experiments, research studies and A/B experiments to validate/reject hypothesis. Understand A/B and multivariate testing to be able to implement A/B testing experiments across digital assets.
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 Derive insights from the hypothesis validation/rejection exercises and share with relevant cross-functional teams.
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 Lead the reporting of actionable insights
 
 
 
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 Be on top of all user feedback coming through multiple channels, market trends and macro-environment regularly for defined features/experiences.
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 Assess every step of defined product funnels &amp; identify opportunities to improve conversion across funnels to build great consumer journeys.
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 Perform structured / adhoc analysis to capture consumer clickstream behavior across all assets.
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 Crisply and impactfully report on KPIs, highlighting insights and pro-actively identify issues / improvement areas for the customer experience and business outcomes. Build reports &amp; automated dashboards to share insights with a myriad of stakeholders.
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 AI-Driven Problem Solving
 
 
 
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 Use AI/ML tools to enhance productivity and streamline analytical workflows.
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 Apply AI-driven methods for hypothesis generation, validation, and insight discovery.
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 Analyze large and complex data sets using AI techniques to surface patterns and opportunities.
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 Product Analytics &amp; App Analytics Tools
 
 
 
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 Drive deep-dive product analytics to uncover user behavior, funnel performance, and growth opportunities.
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 Use web and product analytics tools (Mixpanel, Amplitude, Google Analytics, etc.) to generate insights that help shape product strategy.
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 Conduct detailed A/B test analysis to measure impact, validate hypotheses, and guide product decisions with statistical rigor.
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 What will you need to succeed in this role?
 
 
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 Excellent problem solving and analytical skills - ability to develop hypotheses, understand and interpret data within the context of the product / business - solve problems and distil data into actionable recommendations.
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 Strong number crunching and quantitative skills. Intellectual and analytical curiosity &ndash; initiative to dig into the why, what &amp; how.
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 Advanced knowledge of MS Excel and PowerPoint. Ability to write complex SQL queries to pull data from SQL databases.
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 Expertise in business analytics tools &amp; statistical programming languages. Working knowledge of R or Python to pull data and automate reports.
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 Strong communication skills with the ability to confidently work with cross-functional teams across the organization and to present information to all levels of the organization.
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 Inherent interest in the FoodTech, eCommerce and in the consumer Internet &amp; mobile space.
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 QUALIFICATIONS, EXPERIENCE, &amp; SKILLS:
 
 
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 Bachelors or Masters degree in preferably any of the following: Computer Engineering, Computer Science, Statistics, Mathematics, Data Engineering
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 Experience
 
 : Previous experience of 4-6 years working in an Internet company in a product analytics role. At least 2 years of experience of implementing and working with Google Analytics &amp; Firebase for Apps, Mobile &amp; Desktop Web.
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 Strong understanding of building and interpreting product funnels in mobile products/apps in a consumer internet setup.
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 Experience in writing complex SQL queries to pull data from SQL databases.
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Senior Product Analyst

DUCAT INDIA

We are looking for an experienced and motivated Counsellor with strong expertise in student counselling and technical courses. The ideal candidate will guide students in choosing the right career paths, explain technical programs clearly, and support them throughout the enrollment process.Key Responsibilities:-Counsel students and professionals regarding technical courses (IT, Software, Data Science, Cloud, AI/ML, etc.)-Understand student needs and recommend suitable courses and career paths-Conduct one-on-one counselling sessions-Follow up with prospective students and maintain a healthy conversion ratio-Explain course curriculum, certification value, career outcomes, and placement support-Maintain accurate student data and counselling reports-Coordinate with academic and operations teams for smooth onboarding-Participate in seminars, webinars, and career guidance sessionsJob Type: Full-timePay: ₹300,000.00 - ₹500,000.00 per yearWork Location: In personApplication Deadline: 28/12/2025

Academic/Career Counselor

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