206 Time Series Jobs

About the Role: We are seeking a motivated and highly skilled Data Scientist to join our Flight Safety team. This role is critical in leveraging advanced analytics and machine learning to drive safety-related decisions and improve operational processes. The successful candidate will work extensively with time-series and multivariate data to detect anomalies, uncover patterns, and develop predictive models that enhance flight safety and risk mitigation. You will play a strategic role in applying AI/ML techniques, building custom algorithms, and conducting exploratory data analysis, with a strong focus on aviation safety and operational excellence. Key Responsibilities: Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights from complex datasets. Apply advanced anomaly detection techniques on time-series and multivariate data to identify irregularities and potential safety risks. Develop and implement machine learning and deep learning models (e.g., ANN, RNN, CNN) for predictive safety analytics. Utilize big data analytics tools and AI/ML frameworks to support data-driven decision-making in flight safety. Design and develop custom algorithms to meet domain-specific requirements with high accuracy and reliability. Write efficient, maintainable code using Python and MATLAB for data processing, modeling, and algorithm deployment. Collect, clean, and preprocess data from multiple sources to ensure high-quality inputs for model development. Collaborate with cross-functional teams to translate analytical findings into actionable safety initiatives. Required Qualifications & Experience: Educational Background: Bachelors degree in Engineering with a specialization in Data Science or a related field. Certification in Data Science (such as a completed Data Scientist course or equivalent). Professional Experience: Minimum 6 years of hands-on experience in data science, machine learning, or analytics roles. Proven experience in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key Skills: Data Analysis & Exploratory Data Analysis (EDA) Anomaly Detection (Time-Series & Multivariate Data) Machine Learning & Deep Learning (ANN, RNN, CNN) Big Data Analytics & AI-driven Risk Forecasting Strong Programming Skills: Python and MATLAB Custom Algorithm Design & Development Data Collection, Preprocessing, and Integration Mandatory Key SkillsPython a,nd MATLAB,data science,Machine Learning,Deep Learning,ANN,RNN,CNN,Python*

Preferred skills and qualifications 7 or more years of experience in building and delivering analytical applications.BE/BTech or higher degree in Computer Science, Computer Engineering. Excellent knowledge on OBIEE/OAC RPD development.Experience in OBIEE/OAC Reports & Dashboard and/or Data Visualization Projects development. Exposure to Data Warehouse design, Star Schema modeling. Career Level - IC3 Responsibilities Build and manage the OAC RPD models to optimize data accessibility and performance.Create dynamic, user-friendly OAC dashboards and visualizations that turn data into insights.Set up alerts and automate data flows to keep business teams informed in real-time. Collaborate on data warehouse design, data pipelines, helping shape how we store and manage data.Use ETL tools (Oracle Data Integrator) to move and transform data, ensuring its ready for analysis. Have a good broader business understanding and mindset, while technically leading efforts in specific areas. Make effective judgments and choices on design and roadmap based on various considerations. Work with business and technical teams to understand needs and deliver effective OAC solutions.Troubleshoot and solve any issues that come up with data flows, dashboards, or OAC configurations. Stay current with OAC updates and best practices, continually improving our analytics capabilities.Excellent knowledge in development of repository at all the three layers including Physical Layer, Business Model and Mapping Layer and Presentation Layer. Knowledge in creating Logical columns, Hierarchies (Level Based, Parent Child), Measures, Aggregation Rules,Aggregations, Time Series in Business Model and Catalog Folders in Presentation layers. Good Knowledge in security set up for reports and dashboards, and OBIEE administrative activities.Experience on Oracle SQL, database performance tuning by implementing Views, Materialized views, creating indexes.Strong interpersonal and team leadership skills.

6+ years of experience in building and delivering analytical applications. BE/BTech or higher degree in Computer Science, Computer Engineering. Excellent knowledge on OBIEE/OAC RPD development. Experience in OBIEE/OAC Reports & Dashboard and/or Data Visualization Projects development. Exposure to Data Warehouse design, Star Schema modeling. Career Level - IC3 Responsibilities Build and manage the OAC RPD models to optimize data accessibility and performance.Create dynamic, user-friendly OAC dashboards and visualizations that turn data into insights.Set up alerts and automate data flows to keep business teams informed in real-time.Collaborate on data warehouse design, data pipelines, helping shape how we store and manage data.Use ETL tools (Oracle Data Integrator) to move and transform data, ensuring its ready for analysis.Have a good broader business understanding and mindset, while technically leading efforts in specific areas. Make effective judgments and choices on design and roadmap based on various considerations.Work with business and technical teams to understand needs and deliver effective OAC solutions. Troubleshoot and solve any issues that come up with data flows, dashboards, or OAC configurations.Stay current with OAC updates and best practices, continually improving our analytics capabilities.Excellent knowledge in development of repository at all the three layers including Physical Layer, Business Model and Mapping Layer and Presentation Layer. Knowledge in creating Logical columns, Hierarchies (Level Based, Parent Child), Measures, Aggregation Rules,Aggregations, Time Series in Business Model and Catalog Folders in Presentation layers.Good Knowledge in security set up for reports and dashboards, and OBIEE administrative activities.Experience on Oracle SQL, database performance tuning by implementing Views, Materialized views, creating indexes.Strong interpersonal and team leadership skills.

Preferred skills and qualifications 7 or more years of experience in building and delivering analytical applications.BE/BTech or higher degree in Computer Science, Computer Engineering.Excellent knowledge on OBIEE/OAC RPD development.Experience in OBIEE/OAC Reports & Dashboard and/or Data Visualization Projects development.Exposure to Data Warehouse design, Star Schema modeling. Career Level - IC3 Responsibilities Build and manage the OAC RPD models to optimize data accessibility and performance.Create dynamic, user-friendly OAC dashboards and visualizations that turn data into insights.Set up alerts and automate data flows to keep business teams informed in real-time.Collaborate on data warehouse design, data pipelines, helping shape how we store and manage data.Use ETL tools (Oracle Data Integrator) to move and transform data, ensuring its ready for analysis.Have a good broader business understanding and mindset, while technically leading efforts in specific areas.Make effective judgments and choices on design and roadmap based on various considerations.Work with business and technical teams to understand needs and deliver effective OAC solutions.Troubleshoot and solve any issues that come up with data flows, dashboards, or OAC configurations.Stay current with OAC updates and best practices, continually improving our analytics capabilities.Excellent knowledge in development of repository at all the three layers including Physical Layer, Business Model and Mapping Layer and Presentation Layer.Knowledge in creating Logical columns, Hierarchies (Level Based, Parent Child), Measures, Aggregation Rules,Aggregations, Time Series in Business Model and Catalog Folders in Presentation layers.Good Knowledge in security set up for reports and dashboards, and OBIEE administrative activities.Experience on Oracle SQL, database performance tuning by implementing Views, Materialized views, creating indexes.Strong interpersonal and team leadership skills Qualifications

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences. Responsibilities Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.

Preferred skills and qualifications 7 or more years of experience in building and delivering analytical applications.BE/BTech or higher degree in Computer Science, Computer Engineering.Excellent knowledge on OBIEE/OAC RPD development.Experience in OBIEE/OAC Reports & Dashboard and/or Data Visualization Projects development.Exposure to Data Warehouse design, Star Schema modeling. Career Level - IC3 Responsibilities Build and manage the OAC RPD models to optimize data accessibility and performance.Create dynamic, user-friendly OAC dashboards and visualizations that turn data into insights.Set up alerts and automate data flows to keep business teams informed in real-time.Collaborate on data warehouse design, data pipelines, helping shape how we store and manage data.Use ETL tools (Oracle Data Integrator) to move and transform data, ensuring its ready for analysis. Have a good broader business understanding and mindset, while technically leading efforts in specific areas.Make effective judgments and choices on design and roadmap based on various considerations.Work with business and technical teams to understand needs and deliver effective OAC solutions.Troubleshoot and solve any issues that come up with data flows, dashboards, or OAC configurations. Stay current with OAC updates and best practices, continually improving our analytics capabilities.Excellent knowledge in development of repository at all the three layers including Physical Layer, Business Model and Mapping Layer and Presentation Layer. Knowledge in creating Logical columns, Hierarchies (Level Based, Parent Child), Measures, Aggregation Rules,Aggregations, Time Series in Business Model and Catalog Folders in Presentation layers. Good Knowledge in security set up for reports and dashboards, and OBIEE administrative activities.Experience on Oracle SQL, database performance tuning by implementing Views, Materialized views, creating indexes.Strong interpersonal and team leadership skills

Preferred skills and qualifications 7 or more years of experience in building and delivering analytical applications.BE/BTech or higher degree in Computer Science, Computer Engineering.Excellent knowledge on OBIEE/OAC RPD development.Experience in OBIEE/OAC Reports & Dashboard and/or Data Visualization Projects development.Exposure to Data Warehouse design, Star Schema modeling. Responsibilities Build and manage the OAC RPD models to optimize data accessibility and performance.Create dynamic, user-friendly OAC dashboards and visualizations that turn data into insights.Set up alerts and automate data flows to keep business teams informed in real-time. Collaborate on data warehouse design, data pipelines, helping shape how we store and manage data.Use ETL tools (Oracle Data Integrator) to move and transform data, ensuring its ready for analysis.Have a good broader business understanding and mindset, while technically leading efforts in specific areas. Make effective judgments and choices on design and roadmap based on various considerations.Work with business and technical teams to understand needs and deliver effective OAC solutions. Troubleshoot and solve any issues that come up with data flows, dashboards, or OAC configurations.Stay current with OAC updates and best practices, continually improving our analytics capabilities.Excellent knowledge in development of repository at all the three layers including Physical Layer, Business Model and Mapping Layer and Presentation Layer. Knowledge in creating Logical columns, Hierarchies (Level Based, Parent Child), Measures, Aggregation Rules,Aggregations, Time Series in Business Model and Catalog Folders in Presentation layers. Good Knowledge in security set up for reports and dashboards, and OBIEE administrative activities.Experience on Oracle SQL, database performance tuning by implementing Views, Materialized views, creating indexes.Strong interpersonal and team leadership skills

Preferred skills and qualifications 7 or more years of experience in building and delivering analytical applications.BE/BTech or higher degree in Computer Science, Computer Engineering.Excellent knowledge on OBIEE/OAC RPD development.Experience in OBIEE/OAC Reports & Dashboard and/or Data Visualization Projects development.Exposure to Data Warehouse design, Star Schema modeling. Responsibilities Build and manage the OAC RPD models to optimize data accessibility and performance.Create dynamic, user-friendly OAC dashboards and visualizations that turn data into insights.Set up alerts and automate data flows to keep business teams informed in real-time.Collaborate on data warehouse design, data pipelines, helping shape how we store and manage data.Use ETL tools (Oracle Data Integrator) to move and transform data, ensuring its ready for analysis.Have a good broader business understanding and mindset, while technically leading efforts in specific areas.Make effective judgments and choices on design and roadmap based on various considerations.Work with business and technical teams to understand needs and deliver effective OAC solutions.Troubleshoot and solve any issues that come up with data flows, dashboards, or OAC configurations.Stay current with OAC updates and best practices, continually improving our analytics capabilities.Excellent knowledge in development of repository at all the three layers including Physical Layer, Business Model and Mapping Layer and Presentation Layer.Knowledge in creating Logical columns, Hierarchies (Level Based, Parent Child), Measures, Aggregation Rules,Aggregations, Time Series in Business Model and Catalog Folders in Presentation layers.Good Knowledge in security set up for reports and dashboards, and OBIEE administrative activities.Experience on Oracle SQL, database performance tuning by implementing Views, Materialized views, creating indexes.Strong interpersonal and team leadership skills

About Zscaler Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We're looking for an experienced Staff Machine Learning Software Engineer to join our digital experience team . Reporting to the Director, you'll be responsible for: Leading identification and resolution of performance issues by developing advanced AI/ML models that pinpoint root causes of poor experience and detect performance bottlenecks for users Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points in the digital experience Implementing advanced AI/ML algorithms to detect and forecast anomalies in user experience across multiple dimensions Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders What We're Looking for (Minimum Qualifications) A Bachelors or Master’s(preferable) degree in Computer Science, Data Science, Statistics, or a related field with 6+ years of professional experience in data science or a related role Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks Strong experience with networking and end-point observability systems Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets Strong experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow What Will Make You Stand Out (Preferred Qualifications) Published research or contributions to digital experience/end-user observability/networking/ data science community Demonstrated experience in the monitoring space, with a deep understanding of user experience metrics, monitoring tools, and methodologies Experience with designing complex systems and scaling ML models on large scale distributed systems #LI-Hybrid #LI-AN4 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

This position is part of the Analytical Solutions team that executes custom analysis and data delivery projects for comScore’s external clients and supports certain internal data feeds. This team is located within comScore’s product organization and is focused mainly on transforming comScore’s national and local television usage data into custom data feeds for clients. In this role, the Data Scientist will utilize their skills and knowledge in statistics and media research, working closely with other members of the Analytical Solutions and CMS Custom Analytics teams, and with internal and external clients, to develop and maintain value-added solutions. What You'll Do: Effectively handle large data files in the course of developing and implementing solutions Precisely execute multiple analytic projects, each involving a great number of steps and analytic decisions Concisely summarize real-world implications of findings from custom projects and the value proposition of real-world offerings Interpret results, present findings and recommend alternative solutions to software and business decision makers Translate statistical modeling results into measures of business impact Interface with clients to aid in the qualification of custom analytical solutions Manage expectations and coordinate project delivery with internal team Play a key role in the development and adaptation of statistical methodologies, including traditional media research methodologies, for the development, maintenance and improvement of data products Develop statistical tools to facilitate and improve data regression, manipulation, and analysis Test and measure the effectiveness of new statistical approaches and process improvements Assist Custom Solutions team in new product development. Execute prototyping of new product ideas Manage analytic projects What You'll Need: 2- 4 years related experience in traditional, direct, or digital media research; understand traditional (TV) media math and targeting concepts Ph.D. or Masters (M.S.) in Statistics, Decision Sciences, Economics, Physics, Systems Engineering, or Mathematics preferred Highly competent in quantitative and qualitative analysis, regression, data manipulation, and critical thinking. Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities Ability to distill large amounts of information into key findings Excellent written, verbal, and presentation skills and an ability to explain complex systems Extensive background in data mining applications, including proven programming and debugging ability in SAS, R, Python or similar language. Experience analyzing person-level or household-level marketing data and efficiently handling large data files Extensive experience with relational DB data access including writing and debugging SQL Proficient in navigating and scripting on *NIX systems Experience with wide range of market research methodologies within and beyond media measurement: regression, time series, SEM, marketing mix, Bayesian methods Experience with experimental design, hypothesis testing, power calculations for statistical tests About Comscore: At Comscore, we’re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we’re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you’re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we’d love to hear from you. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry’s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com. C omscore is committed to creating an inclusive culture, encouraging diversity. *LI-JL1

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. About the role As a Lead Data Scientist, you ll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences and Target s culture by modeling and contributing to the culture. You ll get the opportunity to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. You ll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You ll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You ll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team s products/models. You ll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you ll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We ll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team s work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you ll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retailIt s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience Master s degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Senior Data Scientist Machine Learning & Generative AI Location: Hyderabad | Company: DataBeat.io Experience: 6 + Years | Employment Type: Full-Time Immediate Joiners Preferred ( We are Looking for Immediate Joiners ) About DataBeat.io At DataBeat.io , we are a global data and analytics services company empowering organizations with cutting-edge big data solutions, machine learning, and operational analytics. We partner with forward-thinking enterprises to deliver impactful, scalable, and innovative data solutions using the latest technologies and platforms. As part of our fast-growing and dynamic team, you'll be at the forefront of the data revolutionworking on high-impact projects involving emerging technologies like Large Language Models (LLMs) and Generative AI , for clients that are shaping the future of tech. Your expertise will directly influence business outcomes, and high performance is rewarded with leadership opportunities and career advancement. Role Overview We are seeking a highly experienced and motivated Senior Data Scientist with deep expertise in Machine Learning, Deep Learning , and Generative AI (GenAI) . The ideal candidate will have a strong technical foundation, proven leadership in delivering data-driven solutions, and the ability to translate complex data insights into business strategies. Key Responsibilities Lead end-to-end data science projects from business requirement gathering to model deployment. Design and implement advanced machine learning and deep learning models , including LLMs and GenAI applications . Collaborate with stakeholders across industries to identify business challenges and propose data-driven solutions. Transform complex data into actionable insights using data visualization and storytelling tailored for senior management. Work with engineering teams to scale models using big data tools like Apache Spark, Hadoop , and cloud platforms such as AWS, GCP, Azure . Mentor junior data scientists and contribute to internal knowledge sharing and best practices. Manage multiple client engagements simultaneously, delivering solutions across diverse industries. Stay current with emerging technologies in AI/ML and GenAI , and proactively bring innovative ideas into projects. Experience: 6+ years of hands-on experience in data science and machine learning. Proven experience delivering solutions involving LLMs, NLP, and Generative AI technologies. Demonstrated success in client-facing roles and cross-functional collaboration. Plotly . Application form - https://databeat.keka.com/careers/jobdetails/32994

As a Senior Applied Scientist at Oracle Cloud Infrastructure, you will be part of the Generative AI and AI Solutions Engineering team, working on building advanced AI solutions that address real-world challenges. Your role will involve: - Designing, building, and deploying cutting-edge machine learning and generative AI systems, focusing on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. - Collaborating with scientists, engineers, and product teams to transform complex problems into scalable AI solutions ready for the cloud. - Developing models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision. - Conducting experiments, exploring new algorithms, and pushing the boundaries of AI to enhance performance, customer experience, and business outcomes. - Ensuring the implementation of ethical and responsible AI practices in all solutions. You are an ideal candidate for this role if you possess deep expertise in applied ML/AI, hands-on experience in building production-grade solutions, and the ability to innovate at the intersection of AI and enterprise cloud. Join us at Oracle Cloud Infrastructure to blend the speed of a startup with the scale of an enterprise leader.,

As a Principal Applied Data Scientist at Oracle Cloud Infrastructure, you will be responsible for designing, building, and deploying cutting-edge machine learning and generative AI systems. Your focus will primarily be on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. Key Responsibilities: - Collaborate with scientists, engineers, and product teams to transform complex problems into scalable AI solutions suitable for enterprises. - Develop models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision. - Conduct experiments, explore new algorithms, and push the boundaries of AI to enhance performance, customer experience, and business outcomes. - Ensure the implementation of ethical and responsible AI practices across all solutions. Qualifications Required: - Deep expertise in applied ML/AI. - Hands-on experience in building production-grade solutions. - Creativity to innovate at the intersection of AI and enterprise cloud. Oracle Cloud Infrastructure is known for blending the speed of a startup with the scale of an enterprise leader. The Generative AI Service team focuses on building advanced AI solutions that address real-world, global challenges using powerful cloud infrastructure.,

Role Overview: You will be a data scientist responsible for developing and deploying impactful data solutions using your expertise in machine learning and statistical analysis. Your role will involve designing and implementing predictive models, collaborating with stakeholders, and driving strategic decisions through experimentation and data-driven insights. Key Responsibilities: - Design and implement robust machine learning solutions including regression, classification, NLP, time series, and recommendation systems. - Evaluate and tune models using appropriate metrics like AUC, RMSE, precision/recall, etc. - Work on feature engineering, model interpretability, and performance optimization. - Partner with stakeholders to identify key opportunities where data science can drive business value. - Translate business problems into data science projects with clearly defined deliverables and success metrics. - Provide actionable recommendations based on data analysis and model outputs. - Conduct deep-dive exploratory analysis to uncover trends and insights. - Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness. - Design and analyze A/B tests and other experiments to support product and marketing decisions. - Automate data pipelines and dashboards for ongoing monitoring of model and business performance. Qualification Required: - Proficiency in Python and MySQL. - Experience with libraries/frameworks such as scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch. - Proficient in statistical techniques like hypothesis testing, regression analysis, and time-series analysis. - Familiarity with databases like PostgreSQL, BigQuery, and MySQL. - Knowledge of visualization tools like Plotly, Seaborn, and Matplotlib. - Experience in Gitlab, CI/CD pipelines is a plus. - Familiarity with cloud platforms like AWS, GCP, or Azure services is also advantageous. In case of any additional details of the company, they are not provided in the job description.,

General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. 2+ years of experience in Design Verification. Hands on experience in SOC level test bench and test plan development. Good knowledge of UVM, System Verilog, PSS Knowledge of Amba Protocols such as CHI, ACE. Hands on experience in PCIe, USB4, DDR4/5 Experience in bare metal post silicon Good Communication.

Designing & helping build successful implementations of SAP IBP in customer organizations No of Implementations At least Two End to End IBP implementations not including Rollouts Must Drive Assist with building Assets and Accelerators within SAP IBP. Required Candidate profile Deep Process understanding of end to end Supply Chain planning familiarity expertise with SCOR model is preferred. Good level of understanding of all modules of SAP IBP with expertise in IBP Supply. Perks and benefits End User not required to apply

As a Senior Economic Analyst within the Mastercard Economics Institute (MEI) Research and Partnerships team, you will be at the forefront of driving economic thought leadership to support Mastercard's initiatives aimed at fostering a more inclusive and sustainable digital economy. MEI, established in 2020, focuses on analyzing economic trends from a consumer perspective to provide tailored and actionable insights on economic matters to clients, partners, and policymakers. We are seeking an individual who will play a key role in quantitative modeling, macroeconomic forecasting, and client-facing economic research. Your responsibilities will include developing, enhancing, and maintaining macroeconomic models, implementing forecasting techniques using Mastercard's proprietary data, and designing predictive models utilizing advanced statistical and machine learning methods. You will be involved in scenario planning, stress testing, and developing proprietary indices to assess macroeconomic and retail trends. Collaboration with data engineers and analysts to ensure clean and scalable data environments will be essential, as well as translating business requirements into data specifications and modeling needs. Furthermore, you will support client engagements and research partnerships by providing tailored economic insights and presentations, contributing to MEI's thought leadership through reports and visualizations for external stakeholders. Your role will involve close collaboration with economists, data scientists, and business stakeholders to align modeling outputs with strategic objectives, ensuring quality and relevance throughout all project stages. To qualify for this role, you should possess an advanced degree in Economics, Statistics, Mathematics, or a related quantitative field, along with at least 3 years of experience in econometrics, data science, or applied economics, preferably in finance, tech, or geospatial domains. A strong foundation in macroeconomic theory, econometric modeling, and statistical inference is required. You should be proficient in advanced R, Python, and SQL, with familiarity in JavaScript and visualization libraries being a plus. Experience with predictive modeling, logistic regression, decision trees, time series, clustering, and dimensionality reduction is essential. Additionally, proficiency in tools like Tableau or Power BI for building dashboards and client-facing visuals is preferred. The successful candidate for this role will be entrepreneurial, collaborative, and intellectually curious with a passion for economic research and storytelling. Strong communication skills are crucial for translating technical insights into business narratives, managing multiple priorities in a fast-paced environment, and contributing to Mastercard's commitment to information security by following security policies, ensuring confidentiality and integrity of information, reporting any security violations, and completing mandatory security trainings as required.,

Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud, integrates with your existing systems to digitize, augment, and automate decisions in real-time. Aera helps enterprises around the world transform decision-making delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the worlds best-known brands. Responsibility Model Development : Assist in designing, implementing, and testing mathematical models for optimization problems (e.g., linear programming, integer programming, mixed-integer programming, network flow models) Collaborate on creating scalable optimization models for applications like planning, routing, scheduling, inventory management, and capacity utilization. Create heuristic models in addition to mathematical models as per the problem requirements. Data Analysis: Derive insights from data. Validate model inputs and outputs Clean, pre-process and integrate datasets for use in optimization models. Testing & Documentation thoroughly testing your work before deploying and Documenting About you Bachelor’s degree in Operations Research, Industrial Engineering, Mathematical Modeling or related fields The duration of the internship is 6 months. Experience with optimization modeling and solvers (CPLEX, Gurobi, COIN-OR, etc.) Experience with python Proactive self-starter who is comfortable taking ownership of their work and meeting deadlines Willingness to join full-time on successful completion of internship Our Environment AWS hosted infrastructure Linux Python

About The Role Management Level: Ind & Func AI Decision Science Analyst Job Location: Bangalore / Gurgaon Must-have Skills: Life Sciences/Pharma/Healthcare projects and delivering successful outcomes, commercial, clinical, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization . Good-to-have Skills: Proficiency in Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI Job Summary We are seeking an experienced and visionary - Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. Key Responsibilities Support delivery of small to medium-sized teams to deliver consulting projects for global clients. An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Additional Information Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Skill required: Capacity Planning & Forecasting - Customer Acquisition Strategy & Implementation Designation: Workforce Services Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years Responsibilities Develop and maintain comprehensive capacity plans that align workload forecasts with staffing. Analyze historical run rates, efficiency assumptions, and shrinkage to model capacity needs across multiple lines of business. Ensure all product outlooks are understood and reflect expectation based on detailed knowledge of the product area, ensure that this is clearly articulated both verbally and in writing to all Stakeholders Conduct scenario modelling analysis to assess the impact of different business strategies, operational changes, or unexpected events. Partner closely with Forecasting, Scheduling, Cross functional interfacing teams to align capacity plans with hiring timelines, training schedules, and budget constraints. Translate capacity models into actionable headcount and hiring plans, ensuring service level targets and efficiency goals are met. Build and enhance capacity planning models and tools using advanced Excel, IEX Identify and escalate capacity risks and constraints; propose mitigation strategies and drive cross-functional decision-making. Identify gaps in supply versus demand and manage actions to mitigate ensuring communication with other planning teams and operational stakeholders. Creation of short-term planning packs to produce 30 min interval Supply vs Demand and ABR projections by product type Provide executive-level reports and presentations with clear narratives, assumptions, and recommendations. Mentor and support junior planners and analysts within the Planning team. Provide guidance to the schedulers to help them place off phone time in the best place and optimize schedules to minimize customer impact Work closely with the forecasting team to understand the demand planning and the impact on Capacity planning Create process maps, standard working instructions for the areas they are responsible for. Skills & Qualification 5+ years of experience in workforce management Capacity planning, preferably in a contact center or service/sales/retail operations environment. Advanced proficiency in Excel Experience with Capacity planning models, workforce management systems like NICE IEX, Geneys Strong understanding of contact center KPIs (e.g., AHT, shrinkage, service level, occupancy) and their impact on capacity models. Familiarity with budget planning and FTE forecasting processes. Real sense of ownership and accountability to deliver against plan. Exceptional analytical and problem-solving skills, with attention to detail and accuracy. Ability to forge positive, objective relationships with Client, Operations and Support teams. Adapt, thrive and multitask in a demanding workplace while managing pressure, deadlines and conflicting and shifting priorities. Proficiency in basic arithmetic and statistical concepts and strong logical ability desired with strong mathematical calibration skill. Must demonstrate perceptive, thorough and decisive approach to problem solving.

About The Role Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

About The Role JR: R00229254 Experience: 11-15 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. --------------------------------------------------------------------- Job Title - S&C Global Network - AI - Healthcare Analytics - Senior Manager Management Level: 6-Senior Manager Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. WHATS IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Lead proposals, and business development efforts and coordinate with other colleagues to cross-sell/ up-sell Life Sciences offerings to existing as well as potential clients. Lead client discussions, developing new industry Point of View (PoV), re-usable assets (tools) Collaborate closely with cross-functional teams including Data engineering, technology, and business stakeholders to identify opportunities for leveraging data to drive business solutions. Lead and manage teams to deliver transformative and innovative client projects. Guide teams on analytical and AI methods and approaches Manage client relationships to foster trust, deliver value, and build the Accenture brand Drive consulting practice innovation and thought leadership in your area of specialization Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven experience in cross-sell/ up-sell Leverage ones hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, and digital marketing data. Experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum, SHS, Specialty Pharmacy, PSP, etc. Experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Excellent analytical and problem-solving skills, with a data-driven mindset. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 11-15 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

About The Role Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

validateAanddevelopmentdevelopmentdevelopingvalidationvalidationof advanced, ,end-to-end.contributionsRole & responsibilities As a Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve: Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems. Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes. Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly. Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment. Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes. Leverage a profound understanding of mathematical and statistical principles to guide and validating advanced data science models. Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement. Preferred candidate profile • 4 -6 years of total DS and model development experience A. passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively. • Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL Experience in Time Series Forecasting (Mandate) Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc,.) to their real-world problems • Encourage collaboration with various stakeholders and take complete ownership of deliverables. Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations • Effective mentoring of a team with expertise in industry/domain/functional areas.