Top Data Science Jobs in Hyderabad, TG
Develop and enhance data products and machine learning models for risk, fraud, collections, and portfolio management. Utilize alternative data sets to build scores and strategies for managing risk and fraud. Optimize marketing spend by predicting consumer interest in credit products.
Perform as a technical data steward, review and optimize data models, analyze source system data for redundancy, work with Application Architects, implement data strategies, and create logical and physical data models using best practices.
As a Sr Data Engineer at a global market leader in AI-enhanced technology, your responsibilities include data analysis and design, implementation, subject matter expertise development, collaboration for solution development, and cloud data management. You must have 5+ years of experience in Snowflake and expertise in various data warehouse technologies.
Provide analytics support to internal customers by delivering projects, managing expectations, and utilizing data analysis and data science techniques. Create and deliver customer requirements, deliver advanced analytical solutions, automate project codes, participate in knowledge sharing sessions, and comply with internal procedures. Ideal candidates should have a good understanding of the pharmaceutical domain and experience in an international company.
Data Scientist role at a global healthcare company focused on developing scalable AI solutions for commercial areas across Global Business Units. Responsibilities include applying data science expertise, building models and algorithms, analyzing data, and collaborating with cross-functional teams to deliver AI/ML solutions. Key qualifications include hands-on AI/ML modeling experience, expertise in various AI areas, Python programming skills, cloud computing experience, and strong communication skills.
As a Delivery Leader for our LLM Training business, you will play a pivotal role in leading our efforts to develop high-quality, foundational LLMs. Responsibilities include leading and managing large teams of developers, collaborating with clients, maintaining quality datasets, overseeing project transitions, and enhancing code quality. Qualifications include experience in managing technical teams, proficiency in Python and/or JavaScript, hands-on technical work, strong leadership and communication skills.
As a Lead Data Scientist at Netomi, you will be responsible for driving NLP and machine learning projects, managing a team of data scientists, and developing solutions to support technical and analytical requirements. You will also perform deep analyses, build models to understand customer behavior, and extract key insights for product decisions.
Lead Data Scientist role at Encora, leading the development and implementation of advanced data science models and algorithms. Mentoring junior data scientists, collaborating with cross-functional teams, and driving innovation in data analytics.
Explore, develop, implement, and evaluate digital innovation solutions to address customer needs. Lead multiple projects across various creative and marketing channels. Provide analytics support to internal customers and facilitate data-enabled decision-making. Support team in building capabilities and driving excellent customer happiness through sophisticated analytical solutions.
Develop and implement innovative AI methods in the field of biomedical research. Train, test, and evaluate AI models on realistic data, and deliver insights to communicate results effectively. Stay updated on the latest AI developments and manage run time requirements efficiently. Create new AI models from scratch using Python, TensorFlow, and PyTorch.
Lead Data Scientist specializing in Natural Language Processing (NLP) to drive innovative projects in name matching, address matching, and entity resolution. Responsible for designing, developing, and deploying advanced NLP models to enhance identity verification processes. Collaborate with cross-functional teams, mentor junior data scientists, analyze data sets, and ensure scalable and secure NLP solutions.
Apply data science expertise in machine learning, statistics, text-mining/NLP, forecasting, and optimization to multiple analytics projects. Build models, algorithms, and simulations using state-of-the-art technologies. Collaborate with developers and engineers to deliver production-ready AI/ML solutions.
Seeking a motivated Data Scientist with 2+ years of experience in data science and machine learning. Must have strong Python skills and experience with end-to-end solutions using diverse technologies. Collaborative mindset and problem-solving skills are essential.
Plume is seeking a Staff Data Scientist to perform in-depth analysis on WiFi telemetry and user behavior data, develop machine learning pipelines, collaborate with cross-functional teams, and more. This role requires a BS/MS/PhD in Computer Science or related field, 7+ years of industry experience in ML systems, strong programming skills in Python and SQL, proficiency in Apache Spark, and expertise in data analysis and machine learning concepts.
The Middle Data Scientist at Social Discovery Group will analyze chatbot behavior, process text datasets, and analyze ML solutions from a business metrics perspective. Experience with Python, NLP, Numpy, Sklearn, SQL, Statistics, and Data visualization is required.
Seeking a Senior Data Scientist to leverage advanced knowledge of statistics, machine learning, and data engineering to develop and implement predictive models for driving business outcomes. Responsibilities include analyzing large datasets, designing predictive models, collaborating with stakeholders, and mentoring junior data scientists. Company focuses on industries like High-Tech, communication, media, healthcare, retail, and telecom.
Seeking a talented Data Scientist to work on high-impact projects for a client in the payments domain, focusing on Generative AI (GenAI) and recommender systems. Responsibilities include designing and implementing GenAI architectures, developing recommender systems, analyzing large datasets, and staying updated with the latest GenAI trends.
Seeking a highly skilled Senior Data Scientist with expertise in Dataiku, machine learning, and data science to lead a key project in the Supply Chain domain. Responsibilities include designing and deploying machine learning models, collaborating with stakeholders, and mentoring junior data scientists.
Responsible for building and implementing ETL/ELT data pipelines, solving data challenges at scale, and continuously improving data processing turnaround and usability. Must have strong experience with Python, SQL, data warehouses, and data integration.
Conceive, design, and execute exploratory analyses as Lead Data Scientist across clinical trials. Provide subject matter expertise for high-dimensional clinical data analysis solutions. Work in cross-functional biomarker collaborations to support target selection and clinical development activities.
Senior Data Scientist responsible for driving Modular Intelligence for Walmart through application of CV/AI capabilities, developing statistical and machine learning models, building ML pipelines, and communicating insights to business partners.
The Digital Science Operations, Insights & Data Products Expert at Sanofi will work within the Data Programs and Operations organization, implementing the strategic roadmap and executing Data & Analytics initiatives for Science functions. Responsibilities include partnering with Global Science stakeholders to understand data needs, developing AI and Science data products, and leading the development of advanced AI/ML and analytics data products to advance Science objectives.
Lead the regional Data Scientist team to develop and implement advanced data-driven solutions for monitoring clinical trials. Drive data quality, patient safety, and trial reliability through statistical methods and machine-learning techniques. Foster a culture of excellence and continuous learning within the team. Represent Data Scientists in projects and programs to ensure regulatory compliance and reliability of clinical trial results.
Join our innovative team as a Sr. Data Scientist and work on cutting-edge AI/ML applications in industries like fleet & EV, Health Benefits, and Corporate Payments. Lead AI/ML model development, collaborate with cross-functional teams, drive rapid prototyping, and mentor junior data scientists. PhD or Master's in computer science or related field with 5+ years of experience required.
Join Oportun as a Senior Data Scientist to develop data products and machine learning models for risk, fraud, collections, and portfolio management. Use alternative data sets to build scores and strategies, optimize marketing spend, and drive business value. Lead initiatives and facilitate Model Governance Activities. Must have a Master's degree or PhD in a quantitative discipline and 3+ years of hands-on experience with machine learning techniques.
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