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data science intern

Nykaa

<div>
 
 
 About the Team:
 
 Join the dynamic Nykaa Data Science team as a Machine Learning Scientist II. In this role, you will contribute to analyzing data and developing machine learning models that enhance the relevance and ranking of our search platforms. You will work closely with cross-functional teams to gather performance metrics, evaluate search outcomes, and optimize the user experience on Nykaa's platform. This position offers the opportunity to collaborate in a fast-paced environment and make a significant impact on our search functionalities.
 
 
 What are we looking for ?
 
 
 
 Education
 
 :
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s Degree in Data Science, Computer Science, Statistics, or a related field from a reputable institution.
 </li>
 </ul>
 
 
 Experience
 
 :
 
 <ul>
 <li>
 3+ years of industry experience in Data Science and building Machine Learning models.
 </li>
 <li>
 Demonstrated experience in building and deploying machine learning models that handle large datasets.
 </li>
 <li>
 Experience in Search Data Science, Natural Language Processing (NLP) tasks, or Vector Search is a plus.
 </li>
 </ul>
 
 
 Technical Skills
 
 :
 
 <ul>
 <li>
 Strong foundational knowledge in Probability Theory, Statistics, and Machine Learning.
 </li>
 <li>
 Proficiency with machine learning languages and frameworks such as Python, Numpy, Pandas, Scikit-Learn, PySpark, TensorFlow/PyTorch, XGBoost/LightGBM.
 </li>
 <li>
 Understanding of A/B testing methodologies and experience in designing, implementing, and analyzing experiments to evaluate search algorithm performance.
 </li>
 <li>
 Familiarity with best practices throughout all stages of the Data Science lifecycle, including data preprocessing, model training, evaluation, deployment and monitoring.
 </li>
 </ul>
 
 
 Soft Skills
 
 :
 
 <ul>
 <li>
 Demonstrated ownership and ability to deliver results on data-driven projects.
 </li>
 <li>
 Capability to manage multiple priorities in a fast-paced environment.
 </li>
 <li>
 Technical aptitude to quickly gr/asp complex technical issues and communicate effectively with both technical and non-technical teams.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Search Optimization
 
 : Analyze user behavior insights in search and develop high-quality machine learning algorithms to improve search relevance and ranking.
 </li>
 <li>
 
 Model Development
 
 : Lead and mentor other machine learning scientists to promote learning, growth, and success within the team.
 </li>
 <li>
 
 Continuous Learning:
 
 Stay updated on advancements in the field of Machine Learning and apply these learnings to improve search algorithms.
 </li>
 <li>
 
 Customer Focus
 
 : Understand customer needs and leverage technology to enhance the search experience on Nykaa&rsquo;s platform.
 </li>
 <li>
 
 Documentation and Reporting
 
 : Document models, experiments, and processes. Present findings and insights to stakeholders to inform decision-making.
 </li>
 </ul>
 
 
</div>

ML Scientist II - Search

Flipkart

<div>
 
 
 
 Research Manager &ndash; Machine Learning (RESEARCH SCIENCES)
 
 
 
 
 
 
 
 
 About Data Sciences Group at Flipkart:
 
 
 
 The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India&rsquo;s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity &mdash; to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.
 
 
 In a nutshell, the terabytes of daily data compounded in Flipkart&rsquo;s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.
 
 
 
 
 
 
 What this job entails:
 
 
 
 As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning &amp; Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart&rsquo;s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
 
 <ul>
 <li>
 Closely work with the Data Science team to formulate data-led solutions and models
 </li>
 <li>
 Use advanced Machine Learning techniques to enable key business goals
 </li>
 <li>
 Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
 </li>
 <li>
 Should have thorough understanding of key AI and ML techniques &mdash; If not all &mdash; spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
 </li>
 </ul>
 
 
 
 
 
 Key Roles &amp; Responsibilities:
 
 
 
 The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search&mdash;all of which just form the tip of the iceberg. In this role, you will be responsible to:
 
 <ul>
 <li>
 Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
 </li>
 <li>
 Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart&rsquo;s ecosystem
 </li>
 <li>
 Ensure timely deployment of models in a high-pace business, large-scale production environment
 </li>
 <li>
 Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
 </li>
 <li>
 Build deep partnerships with business, product management, and technology leaders
 </li>
 <li>
 Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
 </li>
 <li>
 Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
 </li>
 <li>
 Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
 </li>
 </ul>
 
 
 
 
 
 Our Associations &amp; Collaborations:
 
 
 
 Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities &mdash; like CMU, IIT's, IISc and IIIT&rsquo;s &mdash; for developing class-leading solutions in the e-commerce sector.
 
 
 At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.
 
 
 
 
 
 
 Basic Qualification:
 
 
 
 Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.
 
 
 Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.
 
 
 Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.
 
 
 
</div>

Data Science Manager

Tredence Inc.

<div>
 
 
 Product Owner (L2)
 
 
 
 
 Experience:
 
 2-4yrs
 
 
 
 Location:
 
 Bengaluru, India (Hybrid)
 
 
 
 Team:
 
 Product (R&amp;D)
 
 
 
 Type:
 
 Full-time
 
 
 
 
 
 
 About Tredence
 
 
 
 Tredence is a global analytics services and solutions company, recognized among the fastest-growing private firms on the Inc. 5000 list for three consecutive years. We deliver value through data visualization, data management, advanced analytics, big data, and machine learning. Our strength lies in building scalable, cost-effective cloud (GCP, Azure, AWS) and on-premise solutions, supported by a strong portfolio of IP and accelerators.
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking a
 
 Product Owner
 
 to join our Generative AI R&amp;D Studio team. You will play a key role in translating business objectives into impactful AI-driven accelerators and products, collaborating with cross-functional teams, and driving innovation at the frontier of enterprise AI.
 
 
 
 
 
 
 What are Accelerators?
 
 
 
 Accelerators are reusable mini-products designed to cut delivery timelines by
 
 30&ndash;70%
 
 while enhancing client outcomes. At Studio R&amp;D, we experiment, design, and build accelerators across industries like Retail, CPG, BFSI, Healthcare, and more &mdash; enabling faster client value delivery and execution at scale.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Translate business requirements into PRDs, user stories, and acceptance criteria.
 </li>
 <li>
 Collaborate with engineering, data science, QA, and design to deliver high-quality features.
 </li>
 <li>
 Support sales, marketing, and customer success through demos, release notes, documentation, and enablement collateral.
 </li>
 <li>
 Assist delivery teams with product support during client implementations.
 </li>
 <li>
 Track product success metrics, analyze performance, and synthesize learnings.
 </li>
 <li>
 Research emerging technologies across Tredence&rsquo;s business areas.
 </li>
 <li>
 Own prompt engineering and evals efforts for your respective product/accelerators.
 </li>
 <li>
 Communicate product updates, roadmap, and progress to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Experience &amp; Mindset
 
 
 <ul>
 <li>
 ~2 years of experience in product management (post-MBA preferred).
 </li>
 <li>
 Proven record of contributing to impactful projects in fast-paced environments.
 </li>
 <li>
 Strong problem-solving skills and ability to bring structure to ambiguity.
 </li>
 <li>
 Hunger to learn, experiment, and innovate.
 </li>
 </ul>
 
 
 Product Skills
 
 
 <ul>
 <li>
 Exposure to the product lifecycle (discovery &rarr; GA &rarr; scale) in Agile environments.
 </li>
 <li>
 Ability to convert technical concepts into business value and user stories.
 </li>
 <li>
 Strong communication, documentation, and stakeholder management.
 </li>
 </ul>
 
 
 Technical Fluency
 
 
 <ul>
 <li>
 Working knowledge of AI, data, cloud, ML, and data science.
 </li>
 <li>
 Hands-on experience with analytics/experimentation tools (SQL, Amplitude, Mixpanel, A/B testing, etc.).
 </li>
 </ul>
 
 
 
 
 
 Nice-to-Have:
 
 
 <ul>
 <li>
 Exposure to Business Analyst, Sales, Data Science, or Development roles.
 </li>
 <li>
 Experience with Conversational AI or automation platforms.
 </li>
 <li>
 Certifications in Agile/Scrum or cloud/AI platforms.
 </li>
 </ul>
 
 
 
 
 
 Why Join Product at Tredence?
 
 
 <ul>
 <li>
 Collaborate across
 
 six practices
 
 (Supply Chain, CXM, Data Engineering, Data Science, Digital Engineering, GenAI) and
 
 multiple verticals
 
 (Retail, CPG, BFSI, Healthcare, TMT, Travel &amp; Hospitality).
 </li>
 <li>
 Work hands-on with technologies from
 
 GCP, Azure, AWS, Databricks, Snowflake
 
 .
 </li>
 <li>
 Explore innovations beyond web &mdash; including Generative AI, VR, humanoids, and mobile platforms.
 </li>
 <li>
 Launch 3&ndash;4 accelerators annually, gaining exposure across industries and practices.
 </li>
 <li>
 Participate in leading industry events such as Cypher and DES.
 </li>
 </ul>
 
 
</div>

Product Consultant

Delta Air Lines

<div>
 
 
 About Delta Tech Hub:
 
 
 
 Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Integration and Harmonization:
 
 
 <ul>
 <li>
 Aggregate and normalize HR data from multiple platforms
 </li>
 <li>
 Implement data transformation and enrichment processes to support analytics and reporting needs.
 </li>
 </ul>
 
 
 
 
 
 Data Quality and Monitoring:
 
 
 <ul>
 <li>
 Develop and implement data validation and monitoring frameworks to ensure data accuracy and consistency.
 </li>
 <li>
 Troubleshoot and resolve issues related to data quality, latency, or performance.
 </li>
 </ul>
 
 
 
 
 
 Collaboration with Stakeholders:
 
 
 <ul>
 <li>
 Partner with teams, analysts, and data scientists to understand data requirements and translate them into technical solutions.
 </li>
 <li>
 Provide technical support and guidance on data-related issues or projects.
 </li>
 </ul>
 
 
 
 
 
 Tooling and Automation:
 
 
 <ul>
 <li>
 Leverage cloud-based solutions and frameworks (e.g., AWS) to streamline processes and enhance automation.
 </li>
 <li>
 Maintain and optimize existing workflows while continuously identifying opportunities for improvement.
 </li>
 </ul>
 
 
 
 
 
 Continuous Learning and Innovation:
 
 
 <ul>
 <li>
 Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
 </li>
 <li>
 Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.
 </li>
 </ul>
 
 
 
 
 
 What you need to succeed (minimum qualifications):
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s in data science, Business Analytics, Information Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2+ yrs of Experience as Data Analyst with experience in Python (NumPy &amp; Pandas) including (Matplotlib / Seaborn) &amp; EDA &amp; SQL &amp; Scikitlearn library.
 </li>
 <li>
 Experience with AWS DB - (S3 Bucket or Redshift) is required.
 </li>
 <li>
 Basic understanding of ETL / Glue data pipelines.
 </li>
 </ul>
 
 
 
 
 
 What will give you a competitive edge (preferred qualifications):
 
 
 <ul>
 <li>
 Hands on Experience with Dashboarding e.g Quicksight
 </li>
 <li>
 Desired experience working with HR Data
 </li>
 <li>
 Experience working with Glue/Lambda to develop data pipelines
 </li>
 <li>
 Experience working with DBT
 </li>
 </ul>
</div>

Data Analyst [T500-20905]

Valiance Solutions

<div>
 
 
 About Us:
 
 
 
 At Valiance, we empower businesses with AI-driven insights and data analytics solutions. Specializing in demand forecasting within retail Industry very specific to
 
 Apparel and Footwear
 
 domains, we leverage standardized ML models to deliver accurate forecasting outcomes to our clients. We are looking for a skilled Data Scientist who can interpret and improve these models to drive real-world business results.
 
 
 
 
 
 
 Role Overview:
 
 
 
 The Data Scientist will be responsible for applying our pre-trained demand forecasting models to generate actionable insights and highly accurate forecasting outcomes. This role involves thorough data analysis, identifying trends and anomalies, interpreting results, and communicating findings effectively to a non-technical business audience. The ideal candidate is less focused on creating algorithms and more oriented towards solving business challenges and providing insights that make a tangible impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Analysis:
 
 Conduct in-depth data analysis to identify trends, patterns, and anomalies in demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 </li>
 <li>
 
 Model Utilization:
 
 Leverage existing pre-trained forecasting models, optimizing their performance by incorporating a nuanced understanding of data points and improving model outcomes based on data insights.
 </li>
 <li>
 
 Interpretation &amp; Communication:
 
 Interpret model results and explain outcomes in simple, actionable terms for business stakeholders, ensuring clarity and relevance.
 </li>
 <li>
 
 Insights Generation:
 
 Develop insights that guide business decisions, aiming for highly accurate forecasting outcomes to meet business requirements.
 </li>
 <li>
 
 Collaboration:
 
 Work closely with cross-functional teams, including business stakeholders and analysts, to ensure forecasting outputs align with business objectives and provide real-world value.
 </li>
 <li>
 
 Continuous Improvement:
 
 Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 
 Experience:
 
 
 3-6 years of experience
 
 in data science or a related field, specifically in
 
 Demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 
 </li>
 <li>
 
 Technical Proficiency:
 
 Strong skills in data analysis, data visualization, and working with pre-trained ML models. Proficiency in Python, and SQL is preferred.
 </li>
 <li>
 
 Business Focus:
 
 Strong orientation towards solving business problems rather than a pure focus on machine learning algorithms.
 </li>
 <li>
 
 Communication Skills:
 
 Ability to clearly communicate insights and forecast results to non-technical stakeholders in simple, understandable language.
 </li>
 <li>
 
 Problem Solving:
 
 Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs.
 </li>
 <li>
 
 Detail-Oriented:
 
 Thorough attention to detail, ensuring accuracy in forecasting and relevance of insights.
 </li>
 <li>
 
 Educational Background:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field.
 </li>
 </ul>
 
 
</div>

Data Scientist

GoTo Group

<div>
 
 
 What You Will Do
 
 
 
 
 <ul>
 <li>
 Translate business concerns into technical problems that can be addressed using data science and machine learning techniques.
 </li>
 <li>
 Collaborate with product managers, machine learning engineers, and business users to develop and deploy data science solutions.
 </li>
 <li>
 Prototype and deploy data science models, ensuring they are scalable and maintainable in a production environment.
 </li>
 <li>
 Partner with business teams to continuously improve systems to meet Gojek&rsquo;s evolving needs.
 </li>
 <li>
 Analyze large datasets to generate actionable insights.
 </li>
 <li>
 Design and conduct experiments to measure the impact of machine learning models and product features in the Marketplace Team
 
 
 </li>
 </ul>
 
 
 What You Will Need
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s Degree in Computer Science, Statistics, Operations Research, or a related quantitative field, with at least 1-2 years of relevant experience.
 </li>
 <li>
 Hands-on experience with statistics, machine learning fundamentals, and proficiency in Python, SQL, and basic visualization tools.
 </li>
 <li>
 Strong understanding of data science and machine learning fundamentals, with the ability to formulate solutions to business problems.
 </li>
 <li>
 Ability to write clear and concise technical documentation.
 </li>
 <li>
 Experience in taking data science models from development to production.
 </li>
 <li>
 Competence in conducting independent analysis, including data manipulation, hypothesis formulation, and statistical analysis of experiments.
 
 
 </li>
 </ul>
 
 
 About GoTo Group
 
 
 
 
 GoTo Group is the largest digital ecosystem in Indonesia with its mission to &ldquo;Empower Progress&rsquo; by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia&rsquo;s vast consumer household.
 
 
 
 
 About Gojek
 
 
 
 
 Gojek is Southeast Asia&rsquo;s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
 
 
 
 
 About GoTo Financial
 
 
 
 
 GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
 
 
 
 GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
 
 
 
 
 
 About GoTo Group
 
 
 
 
 GoTo Group is the largest digital ecosystem in Indonesia with its mission to &ldquo;Empower Progress&rsquo; by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia&rsquo;s vast consumer household.
 
 
 
 
 About GoTo Financial
 
 
 
 
 GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
 
 
 
 GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
 
 
 
</div>

Gojek - Data Scientist

ETT CareerMove

<div>
 We&rsquo;re looking for a
 
 Data Scientist
 
 with strong expertise in
 
 predictive modeling, time-series forecasting, and scenario analysis
 
 to power data-driven decisions in the
 
 media and finance domains
 
 . The ideal candidate will combine advanced technical proficiency with the ability to translate analytical insights into strategic business outcomes.
 
 
 Work location: Any where in India ( Hyderabad, Bengaluru, Chennai, Mumbai, NCR
 
 
 Experience : 5-8 years . Education : BE -computers /Master&rsquo;s or higher degree in Data Science, Statistics, Applied Mathematics, Computer Science, or related field.
 
 
 
 Key Responsibilities
 
 
 
 
 IMMEDIATE/ CANDIDATES SERVING NOTICE PERIOD HIGHLY PREFERRED
 
 
 
 <ul>
 <li>
 Design and implement forecasting and predictive models using statistical and machine learning techniques (ARIMA, Prophet, XGBoost, LSTM).
 </li>
 <li>
 Build and validate scenario and &ldquo;what-if&rdquo; simulation models, applying explainable AI methods (e.g., SHAP, feature importance).
 </li>
 <li>
 Develop end-to-end ML pipelines in Python/R/SQL, ensuring scalability and reproducibility through cloud ML platforms (AWS SageMaker, Azure ML, Databricks, or GCP Vertex AI).
 </li>
 <li>
 Collaborate with cross-functional teams to integrate forecasts into finance, content, and release planning workflows.
 </li>
 <li>
 Communicate insights effectively to business stakeholders, influencing strategic and operational decisions.
 
 
 </li>
 </ul>
 
 Must-Have Skills
 
 
 
 <ul>
 <li>
 Proven experience in time-series forecasting and predictive analytics.
 </li>
 <li>
 Hands-on proficiency in Python/R/SQL and major ML frameworks (Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Familiarity with cloud-based ML environments and MLOps practices.
 </li>
 <li>
 Strong business acumen, ideally within media, finance, or entertainment analytics.
 </li>
 </ul>
</div>

Data Scientist -Media/Entertainment Analytics

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