603 Statistical Analysis Jobs - Page 3

The company is seeking a skilled and motivated Data Scientist to join the global team at Sloan and contribute significantly to the development of advanced AI platforms supporting Sales, Marketing, and Operations. In this role, you will lead and coordinate data science initiatives with the offshore team in India. Your responsibilities will include designing, constructing, and deploying AI models utilizing Python, R, SQL, and Java, with a particular emphasis on LLMs, forecasting, and customer analytics. By conducting statistical analysis, predictive modeling, and machine learning, you will address practical business challenges such as marketing and sales targeting enhancements, demand forecasting, customer retention modeling, operational efficiency enhancements, cost reduction strategies, advanced reporting, and insights generation. Additionally, you will be tasked with creating clear, compelling data visualizations and conveying insights to non-technical stakeholders. Collaboration with global teams, as well as managing and mentoring the data team in India, will be essential. Ensuring synchronization between U.S. business priorities and the Indian execution teams, taking charge of project schedules, task management, and quality assurance for deliverables will also fall under your purview. Qualified candidates should possess 5-7 years of hands-on experience in Data Science or a related field, advanced programming proficiency in Python, R, Java, and SQL, familiarity with machine learning models, statistical analysis, and data visualization tools, and experience in working with or developing solutions using LLMs. Demonstrated ability to utilize Cloud Services for analytics, previous experience leading or managing data analytics teams, excellent verbal and written communication skills, fluency in English, proactive self-starting abilities, and a bachelor's or master's degree in Computer Science, Engineering, Statistics, Mathematics, Artificial Intelligence, or a related field are necessary. Ideal candidates will reside within a one-hour commute of Sloan, Gurugram, India, and must be available for a full-time, in-office role as remote or hybrid options are not provided. Comfort working in a fast-paced, global environment with U.S.-based colleagues, experience in Multinational Companies (MNC), a self-starting, curious and open-minded attitude towards learning new concepts are preferred. This position requires working in the U.S. shift from 02:00 PM IST to 10:30 PM IST.,

The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. You will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Key Responsibilities: - Leverage Retail Knowledge: Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. - Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. - Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. - Use AI-driven techniques for personalization, demand forecasting, and fraud detection. - Utilize advanced statistical methods to optimize existing use cases and build new products to serve new challenges and use cases. - Stay updated on the latest trends in data science and retail technology. - Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills: - Strong analytical and statistical skills. - Expertise in machine learning and AI. - Experience with retail-specific datasets and KPIs. - Proficiency in data visualization and reporting tools. - Ability to work with large datasets and complex data structures. - Strong communication skills to interact with both technical and non-technical stakeholders. - A solid understanding of the retail business and consumer behavior. - Programming Languages: Python, R, SQL, Scala - Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras - Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn - Big Data Technologies: Hadoop, Spark, AWS, Google Cloud - Databases: SQL, NoSQL (MongoDB, Cassandra) Additional Information: - Job Title: Retail Specialized Data Scientist - Management Level: 09 - Consultant - Location: Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata - Company: Accenture This position requires a solid understanding of retail industry dynamics, strong communication skills, proficiency in Python for data manipulation, statistical analysis, and machine learning, as well as familiarity with big data processing platforms and ETL processes. The Retail Specialized Data Scientist will be responsible for gathering, cleaning, and analyzing data to provide valuable insights for business decision-making and optimization of pricing strategies based on market demand and customer behavior.,

As a Data Scientist_VIS at Viraaj HR Solutions, you will play a crucial role in analyzing complex datasets to derive actionable insights and develop predictive models to address various business challenges. Your responsibilities will include collaborating with cross-functional teams to define data requirements, creating data visualizations and dashboards for effective presentation of findings, and conducting statistical analysis to identify trends and patterns. Additionally, you will be utilizing machine learning algorithms for data prediction, designing and maintaining databases to store large datasets, and gathering and preprocessing data for analysis. It will be essential for you to identify opportunities for process improvement based on data insights, ensuring data quality and accuracy throughout data handling processes, and supporting the implementation of data-driven strategies within the organization. To excel in this role, you should hold a Bachelor's or Master's degree in Data Science, Statistics, or a related field, along with proven experience as a Data Scientist or in a similar capacity. Strong programming skills in Python or R, experience with SQL databases and querying, and familiarity with big data technologies like Hadoop or Spark will be advantageous. Moreover, your expertise in machine learning algorithms, data visualization tools such as Tableau or Power BI, and statistical analysis techniques will be critical for success. As a valued member of our team, you will have the opportunity to work on big data technologies to enhance data processing capabilities, stay updated with the latest data science trends and technologies, and collaborate on research projects to explore innovative solutions. Your role will also involve mentoring junior data scientists and interns, necessitating exceptional analytical skills, attention to detail, and strong communication abilities to convey complex data insights to non-technical audiences effectively. If you possess skills in predictive modeling, team collaboration, cloud computing, data analysis, project management, problem-solving, and data quality assurance, along with a passion for continuous learning and adaptation in a fast-paced environment, we encourage you to apply. Join us in leveraging data management best practices and shaping the future of data science at Viraaj HR Solutions.,

You are a Senior Python Developer with a strong background in backend development and a passion for designing and implementing efficient algorithms. Your main responsibility is to develop, maintain, and optimize core backend systems and services, with a focus on complex algorithms. This role requires a deep understanding of Python, strong problem-solving skills, and the ability to work collaboratively in a fast-paced environment. You will play a key role in designing, developing, and maintaining robust data pipelines, APIs, and data processing workflows. It is essential to work closely with data analysts and business teams to understand data requirements and deliver insightful data-driven solutions. Ideal candidates are passionate about data, enjoy problem-solving, and thrive in a collaborative environment. Experience in the financial or banking domain is a plus. Responsibilities: - Design, develop, and maintain robust and scalable data pipelines using Python, SQL, PySpark, and streaming technologies like Kafka. - Perform efficient data extraction, transformation, and loading (ETL) for large volumes of data from diverse data providers, ensuring data quality and integrity. - Build and maintain RESTful APIs and microservices to support seamless data access and transformation workflows. - Develop reusable components, libraries, and frameworks to automate data processing workflows, optimizing for performance and efficiency. - Apply statistical analysis techniques to uncover trends, patterns, and actionable business insights from data. - Implement comprehensive data quality checks and perform root cause analysis on data anomalies, ensuring data accuracy and reliability. - Collaborate effectively with data analysts, business stakeholders, and other engineering teams to understand data requirements and translate them into technical solutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. - 5+ years of proven experience in Python development, with a strong focus on data handling, processing, and analysis. - Extensive experience building and maintaining RESTful APIs and working with microservices architectures. - Proficiency in building and managing data pipelines using APIs, ETL tools, and Kafka. - Solid understanding and practical application of statistical analysis methods for business decision-making. - Hands-on experience with PySpark for large-scale distributed data processing. - Strong SQL skills for querying, manipulating, and optimizing relational database operations. - Deep understanding of data cleaning, preprocessing, and validation techniques. - Knowledge of data governance, security, and compliance standards is highly desirable. Experience in the financial services industry is a plus. - Familiarity with basic machine learning (ML) concepts and experience preparing data for ML models is a plus. - Strong analytical, debugging, problem-solving, and communication skills. - Ability to work both independently and collaboratively within a team environment. Preferred Skills: - Experience with CI/CD tools and Git-based version control. - Experience in the financial or banking domain.,

We are seeking an experienced Senior Data Scientist to be a part of our analytics team and take charge of impactful projects. This role necessitates a profound comprehension of statistical analysis, machine learning, and data-focused strategy, with an emphasis on crafting and implementing innovative analytics solutions to address intricate business requirements. The ideal candidate will possess extensive hands-on experience, robust technical acumen, and demonstrated leadership skills to steer a team of data scientists and machine learning engineers. Your responsibilities will include utilizing advanced statistical techniques to scrutinize extensive datasets, unveiling trends and patterns that bolster data-driven decision-making. You will also be tasked with identifying and outlining use cases that underpin business strategies, leveraging insights from data to create value and direct strategic initiatives. In addition, you will evaluate the data analytics maturity of the organization through descriptive data analysis to assess existing capabilities. You will formulate and present use cases for advanced analytics, encompassing diagnostic, predictive, and prescriptive models to enrich data utilization. As a Senior Data Scientist, you will apply your hands-on proficiency in Python and data science, employing a spectrum of machine learning algorithms for various tasks such as regression, classification, natural language processing (NLP), and operational research. Your role will also involve implementing, enhancing, and managing complex models to ensure scalability and efficacy. Furthermore, you will leverage your expertise in large language models (LLMs) and Retrieval-Augmented Generation (RAG) models to construct sophisticated applications, including chatbots and other NLP-based solutions. Communication is key in this role, as you will be expected to convey intricate analytics insights to stakeholders, lead customer meetings, and propose actionable, data-driven solutions. You will be responsible for developing solutions that align with business objectives by translating business requirements into impactful, data-driven solutions. Encouraging a solution-oriented mindset within the team and concentrating on delivering analytics solutions that enhance decision-making and drive value will be pivotal. Moreover, you will lead a team of data scientists and machine learning engineers, offering mentorship, technical guidance, and project oversight. Ensuring that team projects align with business goals, emphasizing quality and timely delivery, is crucial. To qualify for this role, you should have at least 5-7 years of practical experience in data science, machine learning, and statistical analysis. A proven track record in managing and mentoring a team of data scientists and engineers is essential. Proficiency in Python and essential libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch) is required. Key Skills: - Strong knowledge of machine learning techniques, encompassing regression, classification, NLP, and operational research. - Experience with deep learning, LLMs, and RAG models for advanced applications like chatbot development is highly desirable. - Exceptional problem-solving skills with a focus on delivering actionable business insights. - Excellent communication, presentation, and interpersonal skills. - Ability to work both independently and collaboratively in a fast-paced, dynamic environment.,

As a Data Scientist, you will be responsible for analyzing large and complex datasets to identify trends, patterns, and insights. Your main tasks will include developing and implementing machine learning models for prediction, classification, and clustering using Python libraries such as scikit-learn, TensorFlow, or PyTorch. Additionally, you will perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Your role will also involve designing and implementing data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to effectively communicate insights. Collaboration with cross-functional teams to understand business requirements and translate them into data science solutions is a key aspect of this position. You will also be responsible for building and deploying scalable data pipelines using Python and related tools. To excel in this role, you should have proven experience as a Data Scientist or in a similar role, ideally with 2+ years of experience. Strong programming skills in Python and familiarity with relevant data science libraries such as Pandas, NumPy, and Scikit-learn are essential. A solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques is required. Furthermore, experience in data visualization using Python libraries like Matplotlib, Seaborn, and Plotly is important. You should be adept at working with large datasets, performing data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills are also crucial for success in this role. Excellent communication and presentation abilities are necessary to effectively communicate complex data insights and findings to both technical and non-technical audiences. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area is preferred. Experience with big data technologies like Spark and Hadoop, familiarity with cloud platforms such as AWS, Azure, and GCP, and knowledge of deep learning frameworks like TensorFlow and PyTorch are all valuable assets. Additionally, experience with database technologies (SQL and NoSQL) and deploying machine learning models into production will be beneficial for this role. Stay updated with the latest advancements in data science, machine learning, and Python libraries to continuously enhance your skills and knowledge.,

You will be responsible for overseeing surveillance operations in the Treasury Products domain, with a required experience range of 8-10 years. As the Surveillance Manager, you will need to hold a Graduate or Post-Graduate degree in Mathematics, Statistics, or Finance. Your role will involve exposure to Treasury Products through collaboration with Trading, Risk Management, Analyst, and Strategist Teams. Your primary responsibilities will include monitoring orders and trades on various trading platforms to identify outliers. You will be expected to analyze alerts generated by the Surveillance system and prepare regular reports based on your findings. Proficiency in statistical analysis techniques and data visualization tools is essential for this role. As a Surveillance Manager, you should be tech-savvy and possess a working knowledge of programming and coding. You will be required to conduct data analysis using tools such as Excel, R, and Python, and present insights through data interpretation. You will also engage in regular communication with internal and external teams regarding system development and surveillance-related matters. Additionally, you will be involved in testing systems as per specified requirements to ensure their effectiveness. If you have the necessary qualifications and experience for this role, please feel free to share your resume at lipika.hiresquad@gmail.com or contact us at 8766285530.,

You will play a crucial role as part of a team of scientists collaborating closely with external clients to develop efficient predictive models, analyze and validate production model behavior, and ensure optimal model performance. This role will provide opportunities to support the internal technology team in model development and engage in sales activities pertaining to the assessment of models for various client environments. Your contributions will involve building and assessing predictive and decision models for deployment in production systems or research. This encompasses analyzing extensive historical data, determining suitability for modeling, data cleanup and filtering, pattern identification, variable creation, selection of sampling criteria, defining and generating performance metrics, conducting experiments with diverse algorithms and models, and assessing performance to determine the most effective algorithms for implementation. You will assist in the deployment of models into production by conducting production data validations and analyzing score distributions of models in production. Additionally, you will apply data mining techniques to thoroughly analyze model behavior and provide support for customer meetings, model construction, and pre-sales activities. Managing projects within time and resource constraints, collaborating with other teams within FICO, and providing high-quality support to facilitate the integration and deployment of analytics software and solutions will also be part of your responsibilities. You may also participate in post-implementation support. The ideal candidate will possess an MS degree in a statistics, engineering, mathematics, computer science, physics, or operations research field. A PhD is preferred. Some relevant industry experience in predictive modeling and data mining or a PhD without related experience is desirable. Proficiency in Perl/Python, C, C++, or Java, along with familiarity with basic software design principles, coding standards, and best practices, is required. Experience in analyzing large datasets, applying data-cleaning techniques, and conducting statistical analyses to comprehend dataset structures is essential. Knowledge of Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, and SVM is preferred. We offer an inclusive culture that embodies our core values: Acting Like an Owner, Delighting Our Customers, and Earning the Respect of Others. You will have the opportunity to create an impact and enhance your professional growth by leveraging your unique strengths and engaging in valuable learning experiences. We provide highly competitive compensation, benefits, and rewards programs that encourage you to deliver your best every day and be acknowledged for your efforts. Our engaging, people-first work environment promotes work-life balance, offers employee resource groups, and hosts social events to foster interaction and camaraderie.,

As a Data Analyst & Insights professional, you will be responsible for analyzing large datasets from various sources to identify trends, patterns, and actionable insights that are crucial for media and business stakeholders. Your role will involve developing and maintaining dashboards, reports, and visualizations using BI tools like Tableau and Power BI. It will be essential to translate complex data findings into clear and compelling narratives for non-technical audiences. In addition to data analysis, you will design, implement, and maintain robust data pipelines and ETL processes to ensure data quality, integrity, and consistency across all analytics outputs. Collaboration with cross-functional teams to define KPIs, track performance, and identify optimization opportunities will also be a key aspect of your role. Your expertise in Media Analytics will be utilized to apply analytics to media metrics such as audience engagement, campaign performance, and content effectiveness. You will monitor and analyze key performance indicators specific to the media industry and contribute to creating performance reports for campaigns, brands, and channels. Stakeholder engagement will be another critical component of your role, requiring you to partner with business leaders, marketing, and product teams to understand data needs and deliver tailored analytics solutions. You will present insights and recommendations to senior management and external clients. Continuous improvement is encouraged in this role, and staying updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence is essential. You will identify and implement process improvements to enhance analytics efficiency and impact. To excel in this position, you should have 7-9 years of experience in data analysis, business intelligence, or related roles, preferably within the media industry. Proficiency in SQL for data querying and manipulation, experience in team management, and advanced knowledge of Python for data analysis, automation, and scripting are required. Hands-on experience with BI tools like Tableau and Power BI, familiarity with data visualization best practices, and strong statistical and analytical skills are also necessary. Excellent communication and presentation skills, the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment are essential for success in this role. Experience with cloud data platforms (AWS, GCP, or Azure) is a plus, as well as knowledge of media analytics platforms (e.g., Google Analytics, Adobe Analytics) and digital marketing metrics. An understanding of data governance, privacy, and compliance standards is also beneficial. A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field is preferred.,

As a Business Analytics Analyst 1 within the Model governance area of the North America Consumer Bank team at Citi, you will be responsible for ensuring comprehensive and regulatory-compliant documentation of financial models used in the North America Consumer Bank. This role requires a balance of technical understanding, regulatory procedures/policies, and strong documentation skills. You will report to the AVP / VP leading the team. The Next Gen Analytics (NGA) team, a part of the Analytics & Information Management (AIM) unit, focuses on various areas of work including detail-oriented tasks, effective collaboration, statistical mindset, communication skills, strong ownership, process enhancement, project management, coaching, and mentoring. As the Business Analytics Analyst 1, you will work on model governance related responsibilities for multiple portfolios, creating, updating, and maintaining detailed documentation of outcomes from model monitoring & review processes, ensuring compliance with Citi standards and providing guidance on governance best practices. Your role will involve overseeing the model inventory, ensuring proper documentation, validation, and approval processes are followed, and compliance with policies, procedures, and relevant deadlines associated with validation, ongoing monitoring, and model change processes. Working with large and complex data sets using tools such as Python, PySpark, SQL, SAS, and R will be part of your responsibilities, along with collaborating with other team members, peers, and stakeholders. You will be expected to demonstrate attention to detail, strong analytical and process management skills, and assess risk when making business decisions, while maintaining compliance with applicable laws, rules, and regulations. Your role will also require clear and concise communication, both written and verbal, strong project management skills, attention to detail, and the ability to handle multiple projects simultaneously. If you are a bright and talented individual with a Bachelor's Degree and 1-3 years of experience in data analytics, or a Master's Degree with 0-2 years of experience in data analytics, or a PhD, Citi offers amazing opportunities for you. Technical skills, experience in model risk management, model validation/monitoring/reporting, understanding of model risk regulations and fair lending laws, and proficiency in Statistical Analysis with exposure to Machine Learning & Deep learning modeling techniques are desired qualities. Self-motivation, detail orientation, and experience in Credit Cards and Retail Banking are preferred. Citi values competencies such as strong communication skills, stakeholder management, analytical and problem-solving skills, team player mindset, control orientation, risk awareness, experience in a quantitative field, willingness to learn, can-do attitude, and ability to build partnerships with cross-functional leaders. A Bachelor's/Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, Engineering, or related fields from a premier institute is required for this role. This is a full-time employment opportunity in the Credit Cards, Retail Banking, Financial Services, Banking industry at Citi. If you are a person with a disability and need a reasonable accommodation to use the search tools or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster for more information.,

As a Data Scientist focused on R programming, you will be responsible for conducting analysis using the R statistical programming language. Working closely with the research team, your role will involve the creation, management, and analysis of extensive and intricate datasets. Your analytical tasks will encompass developing predictive models, conducting text data mining, and building customized statistical models. The ideal candidate for this position should hold a Master's degree in statistics, economics, mathematics, or a related field. Proficiency in R programming is essential, including the ability to code in R and a strong grasp of econometrics principles. Candidates with a minimum of 2 years of experience in R programming are preferred, although fresh graduates comfortable with R will also be considered. You should possess the capability to handle large datasets effectively and exhibit qualities such as high energy, a team-oriented mindset, and a positive attitude. Problem-solving skills are crucial, along with the ability to independently research and address partner inquiries promptly and efficiently. Collaboration is a key aspect of our work culture, where teamwork, mutual support, and knowledge-sharing are highly valued. In this role, you will be expected to develop analytical frameworks to assess information, situations, and data, distinguishing between critical and trivial aspects using the 80/20 principles. Strong numerical proficiency is essential for analyzing and interpreting data, enabling you to present insights in a clear and concise manner to your team, colleagues, and management. Building strong partnerships and fostering high-level relationships with partners is a key aspect of this position. You will be involved in developing new business opportunities and leveraging partnerships to drive growth and innovation. The compensation for this position is competitive and aligned with the best practices in the industry. Additionally, you will have the opportunity to receive ESOPs from one of the most successful fintech companies in India. This role offers a chance to make a meaningful impact on people's lives and contribute as a change agent in the banking services sector.,

As a valuable member of our team, your responsibilities will include supporting data collection from both lab and field validation tests. This will involve performing data cleaning, validation, and basic statistical analysis to ensure the accuracy and integrity of the data gathered. You will also play a key role in preparing structured reports and dashboards for internal review, contributing to the overall efficiency and effectiveness of our processes. Collaboration with test engineers will be essential in your role, as you work together to guarantee data accuracy and consistency across all testing procedures. Your contributions to data-driven insights will be crucial for root cause analysis and identifying areas for performance improvement. By leveraging your analytical skills and attention to detail, you will play a vital part in driving our continuous improvement efforts and ensuring the quality of our testing processes.,

DAT is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 45 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on DAT for the most relevant data and most accurate insights to help them make smarter business decisions and run their companies more profitably. We operate the largest marketplace of its kind in North America, with 400 million freights posted in 2022, and a database of $150 billion of annual global shipment market transaction data. Our headquarters are in Denver, CO, with additional offices in Missouri, Oregon, and Bangalore, India. For additional information, see www.DAT.com/company. Please note that this role must overlap with Pacific Time hours (IST +12:30) due to the highly collaborative nature of the job. Typical hours are 06.30PM - 03.30AM IST DAT is seeking a highly skilled and collaborative Senior Business Insights Analyst to serve as a dedicated analytical partner to our business Segment Leads. In this pivotal role, you will be the central point of contact for our Carrier, Broker, and Shipper segments, transforming complex data into the actionable insights that drive their strategic and tactical initiatives. You will act as an analytical hub, deeply embedding yourself with the Segment Leads to understand their unique challenges and opportunities. You will conduct hands-on, sophisticated analysis while also orchestrating insights from specialized teams across Finance, Marketing, and Product. Your mission is to provide each Segment Lead with a comprehensive, cohesive data narrative to guide their decision-making and accelerate their growth. Strategic Partnership: Serve as the primary analytical partner and a single point of contact for DATs Segment Leads (Carriers, Brokers, Shippers), translating their business needs into impactful analytical projects. Insight Orchestration: Coordinate and synthesize analyses from domain-specific analysts (e.g., Finance, Marketing, Product) to provide Segment Leads with a holistic view of business performance. Outsource and delegate analytical tasks to specialized teams where appropriate. Deep-Dive Analysis: Lead complex, end-to-end analyses to answer critical business questions. For example, evaluate how a change in acquisition tactics for a segment drove new signups, active product use, and 30-day survivability to estimate the value and ROI of a new approach. Data Storytelling & Visualization: Develop and maintain insightful, automated dashboards and reports in Tableau and Business Objects, presenting clear and compelling data stories that resonate with executive and operational audiences. Performance Measurement: Define, monitor, and analyze the key performance indicators (KPIs) that matter most to each business segment, providing proactive insights on trends and performance drivers. Ad-Hoc Projects: When capacity allows, contribute your analytical expertise to high-priority projects within the broader Business Insights team. A bachelor's degree in Business, Economics, Statistics, Computer Science, or a related quantitative field. 5+ years of experience in business intelligence, data analytics, or a similar strategic role. Technical Skills: Advanced proficiency in SQL for complex data extraction and manipulation within a Snowflake data warehouse environment. Extensive experience creating compelling visualizations and dashboards using Tableau. Experience with Business Objects is a plus. Familiarity with statistical programming languages (e.g., R, Python) is a plus. Hands-on experience with dbt (Data Build Tool) is a plus. Analytical & Soft Skills: Exceptional cross-functional collaboration and project management skills, with a proven ability to coordinate work between multiple teams. Strong business acumen and the ability to translate ambiguous business questions into structured analytical plans. Excellent communication and presentation skills, with the ability to act as a trusted advisor to senior stakeholders. A natural curiosity and a passion for using data to drive tangible business impact. Equal Opportunity Employer/Protected Veterans/Individuals With Disabilities,

As an analytical builder with a passion for user engagement and system optimization, you will play a key role in designing and implementing gamification systems to enhance user experience on our platform. Your ability to understand user behavior and translate it into actionable insights will be crucial in creating engaging and delightful experiences for our users. Working closely with our engineering and data teams, you will drive initiatives focused on gamification, engagement, and growth. Your responsibilities will include designing and optimizing gamification systems to drive long-term user engagement, monitoring user engagement loops using data-driven insights, and collaborating with other teams to improve content discovery and user matching. You will also work on developing sophisticated user behavior models, maintaining internal dashboards and analytics tools, and architecting scalable technical solutions in collaboration with engineering teams. Additionally, you will be involved in defining and tracking complex metrics, building A/B testing frameworks, and analyzing system performance to identify optimization opportunities. The ideal candidate for this role is someone who excels at thinking at the system level, with a strong ability to distill user interactions and behaviors. You should have at least 3 years of product management experience with a focus on growth, engagement, or platform systems, exceptional analytical and mathematical skills, and proficiency in tools such as SQL and Python for data analysis. Experience in designing gamification mechanics, working with recommendation systems, and translating technical concepts into product requirements will be valuable. Strong problem-solving skills, a background in user psychology or game theory, and familiarity with analytics platforms are also desirable qualities for this position. Joining our team will provide you with the opportunity to work on cutting-edge AI and machine learning technologies applied to real-life consumer problems. You will be a core member of our founding team, shaping the future of human connections in the AI era. In addition to meaningful equity, we offer competitive compensation that recognizes your contributions to our product experience. If you are passionate about user engagement, system optimization, and the potential of AI in shaping the future, we invite you to join us on this exciting journey.,

As a Tableau Developer, you will be responsible for creating and managing dashboards, reports, and visualizations using Tableau Desktop and Tableau Server. With a total experience of 4-6 years and at least 3 years of relevant experience, you should have strong proficiency in publishing and scheduling reports on Tableau Server. Additionally, your expertise in SQL and Data Manipulation will be crucial, as you will be required to write complex SQL queries, including joins, subqueries, and window functions, and handle data extraction, transformation, and loading (ETL) processes. Hands-on experience with Snowflake for data warehousing and analytics is essential for this role. You should be able to integrate Snowflake with other data sources and tools, as well as have familiarity with data warehousing concepts like star and snowflake schemas, and experience in designing and implementing ETL workflows. Your analytical and problem-solving skills will be put to the test as you interpret complex data sets and derive actionable insights, troubleshoot data-related issues, and communicate effectively with non-technical stakeholders. It would be beneficial if you have a basic knowledge of Python for data analysis and automation, an understanding of statistical analysis and data modeling techniques, and experience with programming languages like Python or R for data analysis and visualization. Your responsibilities will include developing impactful visualizations using Tableau, utilizing advanced SQL techniques, working with different databases for data integration, writing custom SQL queries, troubleshooting and debugging data-related issues, translating business requirements into workable data models and visualizations, implementing best practices for Tableau report development, performing ad-hoc analysis, providing training and support to end-users, and staying updated with the latest Tableau features and data visualization trends. If you are looking to excel in a role that combines technical expertise with communication skills, problem-solving abilities, and a continuous learning mindset, this Tableau Developer position offers a challenging yet rewarding opportunity for you to make a significant impact within the organization.,

Are you ready to disrupt an industry and change lives As an Associate at GCC's Sampling Allocation Service in AstraZeneca, you will be responsible for developing and implementing analytical programs to optimize sampling distributions for branded products. This role is a blend of managerial and hands-on tasks, involving proactive collaboration with brand team members and overseeing the internal GCC Sampling team to ensure deliverables meet specific requirements. Your role will require working closely with brand teams to comprehend rules, requirements, and sampling strategies, utilizing your expertise across various commercial datasets to ensure accurate implementation. Your contributions will play a vital role in the sample ordering and distribution system, directly influencing the development of life-changing medicines. Location: Bangalore Experience: 3-6 years Notice period: Maximum 2 months (strictly) **Essential Skills/Experience:** - A quantitative Bachelor's degree from an accredited institution in fields like Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science is mandatory. An advanced degree (Masters, MBA, or PhD) is preferred. - Minimum of 2 years of experience in Pharmaceutical/Biotech/Healthcare analytics or secondary data analysis. - At least 3 years of experience in applying advanced methods and statistical procedures on large and disparate datasets, with expertise in areas such as Data Mining, Predictive Modeling algorithms, Optimisation & Simulation. - Proficiency and recent experience (2+ years) in Python, R, SQL, and big data technologies. - Working knowledge of data visualization tools like PowerBI, VBA, or similar platforms. - Proficiency in MS Office products, including PowerApps, Excel, and PowerPoint. - Ability to manipulate and extract insights from extensive longitudinal data sources like Claims, EMR, and other patient-level datasets. - Expertise in managing and analyzing various large, secondary transactional databases. - Background in statistical analysis and modeling, with Machine Learning knowledge as a plus. - Familiarity with IQVIA datasets and sales-related data sets like targeting and alignment, HCP eligibility, and call data. - Experience in data visualization methods and tools for effective communication of insights derived from analyses. - Strong organization and time management skills. **Desirable Skills/Experience:** - Strong leadership and interpersonal skills, with a proven ability to collaborate effectively with business leaders and cross-functional partners. - Excellent communication and influencing abilities, capable of presenting concise and compelling reviews of independently developed analyses along with actionable insights to stakeholders. - Strategic and critical thinking skills, with the capability to engage, build credibility, and maintain relationships with the Commercial Leadership Team. - Exceptional organizational skills and time management, adept at handling multiple projects simultaneously.,

As a Business Analytics Analyst 2 at Citi within the Data Science and Modeling team of North America Consumer Bank, you will be responsible for analyzing millions of prospects and billions of customer level transactions using big data tools and machine learning techniques. Your main objective will be to unlock opportunities for clients, meet their financial needs, and create economic value for the bank. You will work closely with the AVP/VP leading the team to create client-centric analytic solutions to business problems. This will involve owning and delivering complex analytic projects, staying updated with the latest modeling techniques, and sharing knowledge within the team. Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling is essential for this role. Your responsibilities will include working with large and complex datasets using tools like Python, PySpark, SQL, and R to build modeling solutions for various business requirements. You will focus on model building, validation, implementation, and governance for multiple portfolios. Collaboration with other team members and business partners to develop model-driven solutions will be a key part of your role. To be successful in this role, you should have a Bachelor's Degree with at least 3 years of experience in data analytics, a Master's Degree with 2 years of experience, or a PhD. Strong technical skills in PySpark/Python/R programming, along with experience in machine learning and statistical modeling techniques, are required. Understanding of deep learning techniques, experience with large datasets, data warehouses, and statistical analysis are also important. Additionally, you should possess excellent communication skills, stakeholder management abilities, analytical and problem-solving skills, and a control-oriented mindset. A background in a quantitative field, willingness to learn, and a can-do attitude are desired traits. Experience in Credit Cards and Retail Banking is preferred. If you are a bright and talented individual looking to pursue a career in Analytics & Information Management at Citi, this role offers amazing opportunities for growth and development. A Bachelor's or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute is required. This is a full-time position in the Credit Cards, Retail Banking, Financial Services, Banking industry. If you are a person with a disability and require accommodation to use the search tools or apply for this position, please review the Accessibility at Citi policy.,

The position of S&C Global Network - AI - T&O - Human Capital Analytics Analyst located in Kolkata, KDC1A falls under Management Level 11. The primary skill required for this role is Human Capital Analytics, with additional skills in leveraging design thinking, business process optimization, and stakeholder management being beneficial. As a Human Capital Analytics Analyst, you will be responsible for driving strategic initiatives, managing business transformations, and utilizing industry expertise to develop value-driven solutions. Your role will involve providing strategic advisory services, conducting market research, and offering data-driven recommendations to enhance business performance. Joining the Data & AI practice at S&C GN, you will collaborate with a global network of skilled professionals experienced in leading statistical tools and applications. Your responsibilities will include developing advanced statistical models for HR Analytics solutions, utilizing Python programming for efficient model creation, and leveraging ML and Data Science skills like Deep learning, TensorFlow, and Time Series Forecasting. Furthermore, you will be expected to architect scalable dashboards, communicate analytical insights effectively, and maintain strong client relationships. Your role will also involve collaborating with diverse teams, adapting within an agile environment, and utilizing mathematical concepts and industry knowledge to resolve complex issues creatively. The ideal candidate for this position should hold a Master's degree in Economics, Statistics, Mathematics, or Engineering, with at least 5+ years of experience in the Analytics domain and 2-3 years in People/Human analytics. Strong problem-solving skills, communication abilities, and leadership experience are essential, along with knowledge of predictive analytics, machine learning, or statistical modeling. Additional skills in PySpark/PyTorch framework, Data Governance, Cloud Integrations, and Change Management are appreciated. Experience with HTML 5/js, Optimization Theory, and People Analytics Consulting is considered a bonus. This role offers an opportunity to work on innovative projects, with potential for career growth and leadership exposure within Accenture.,

As a Staff Data Scientist at Uber Eats, you will play a crucial role in enhancing the search experience for millions of users worldwide. Your deep statistical expertise will drive decision-making, improve product performance, and ensure that our evaluations and insights are based on methodological rigor. Your responsibilities will include conducting robust statistical analyses on complex datasets to identify product opportunities, shape roadmap priorities, and optimize user experiences in search. You will design and evaluate A/B tests and quasi-experiments, applying best practices in experimental methodology to ensure high-quality, unbiased insights. Building and maintaining statistical frameworks for defining and measuring ground truth will be a key aspect of your role, to identify reliable signals for evaluating search relevance, personalization, and user satisfaction. You will apply advanced sampling strategies to construct representative datasets for both offline and online evaluation pipelines, ensuring scalability and statistical power. Developing rigorous evaluation metrics that reflect real-world product performance and align closely with user and business goals will be essential. Additionally, you will lead initiatives to enhance causal inference practices across the team, applying methods like matching, regression discontinuity, and difference-in-differences where appropriate. Collaborating with product managers, engineers, and other scientists, you will translate open-ended product questions into structured analytical approaches. Providing mentorship and technical leadership to other scientists, you will promote a culture of statistical excellence and continuous learning within the team. To excel in this role, you should have an M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related quantitative field. With 10+ years of industry experience in data science or applied analytics, ideally in consumer products, search, or recommendation systems, you should possess deep expertise in ground truth design and evaluation methodologies for complex user-facing systems. Your proven experience with statistical sampling techniques, offline evaluation pipelines, experimentation design, causal inference, and observational data analysis will be valuable. Proficiency in tools like SQL, Python, and R for data manipulation, modeling, and visualization is required. Excellent communication skills are essential, as you will need to present statistical findings clearly and influence product and engineering decisions through data. Having a strong product sense and the ability to balance analytical rigor with practical business impact will be advantageous in this role.,

As a MERN Stack Developer with TypeScript, you will be responsible for designing, developing, and maintaining web applications using the MERN (MongoDB, Express.js, React.js, Node.js) stack. You will work closely with our product and design teams to create scalable and efficient applications, ensuring high performance and responsiveness to requests from the front end. Key Responsibilities - Develop and maintain web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js) with TypeScript. - Collaborate with the product team to understand requirements and translate them into technical specifications. - Design and implement RESTful APIs and ensure seamless integration with front-end components. - Write clean, maintainable, and well-documented code. - Optimize applications for maximum speed and scalability. - Troubleshoot and debug applications to ensure optimal performance. - Participate in code reviews and provide constructive feedback to peers. - Stay updated with emerging trends and technologies in web development. Nice To Have - Experience working with weaviate or any other vector database. - Experience working with LLM models like OpenAI GPT, Anthropic's Claude. Job Types: Full-time, Permanent Benefits - Paid sick time Location Type: - In-person Schedule - Day shift Education - Bachelor's (Preferred) Experience - Total work: 2 years (Required) Work Location: In person,

You will be responsible for functioning as a Study Director for general toxicology studies, including acute, repeated dose toxicity studies, and PK studies. Additionally, you will function as a Study Personnel for general toxicology studies led by other Study Directors. Your duties will involve the preparation of study plans, study plan amendments, deviations, study reports, SOPs, and their review. Furthermore, you will be tasked with maintaining the in vivo laboratory and providing assistance in departmental activities as required. In order to enhance the capabilities of the team, you will be required to perform validation of new studies. Your role will also include the compilation, verification, and statistical analysis of study data. You will be accountable for the procurement, handling, storage, and disposal of chemicals/items related to general toxicity studies. Additionally, you will be responsible for operating and maintaining laboratory equipment used in non-clinical safety studies. It will be essential for you to collaborate with the Quality Assurance (QA) team for GLP studies and ensure facility compliance.,

As an AI Computer Vision Engineer with 4+ years of experience, you will be responsible for developing and training computer vision models for various tasks such as object detection, image classification, and face recognition. You will optimize models for performance on edge devices and apply data augmentation techniques to image/video datasets. Additionally, you will need proficiency in Large Language Models and a strong understanding of statistical analysis and machine learning algorithms. Your role will involve hands-on implementation of machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms. Understanding image processing concepts and experience in model optimization, quantization, or deploying to edge devices will be essential. You should have strong programming skills in Python (or C++) and expertise in implementing and optimizing machine learning pipelines for seamless integration into production systems. Experience with real-time computer vision applications, OpenCV, NumPy, PyTorch/TensorFlow, and computer vision models like YOLOv5, Mask R-CNN will be beneficial. Engaging with multiple teams, contributing to key decisions, and providing solutions that apply across multiple teams are expected from you. You will lead the implementation of large language models in AI applications and research cutting-edge AI techniques to enhance system performance. Contribution to the development and deployment of AI solutions across various domains is also part of your responsibilities. In terms of requirements, you should design, develop, and deploy ML models for OCR-based text extraction, table and line-item detection, and named entity recognition. Evaluating and integrating third-party OCR tools, developing pre-processing and post-processing pipelines for image/text data, and familiarity with video analytics platforms are necessary skills. Experience with MLOps tools, academic CV research, and knowledge of GPU acceleration or hardware integration will be advantageous for this role.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automatable data and technology solutions in line with data42 strategy. - Be a data SME, understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND, etc.), FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory using AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI. - Draft and edit high-level research documents (proposals, protocols, statistical analysis plans). Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline (e.g., but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in AI/ML. - 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD). - Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI. - Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems. - Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage. - Knowledge in data standards e.g. OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices. - Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks, SnowFlake. - Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity. - High learning agility and adherence to updates in industry and area of work. - Optional Experience in Biomedical Research and development in pharma is a bonus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally. Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.,

As a Specialist, Research at WorldatWork, you will play a crucial role in supporting our research efforts by managing surveys, conducting data analysis, and contributing to various research projects. With a strong technical skill set and the ability to work independently, you will help translate data into valuable insights that inform business decisions and advance the Total Rewards profession. Your primary responsibilities will include independently programming and managing surveys using platforms like Qualtrics or Voxco, ensuring accurate data collection, and resolving technical issues that may arise during fieldwork. You will also be responsible for data cleaning and preparation, performing basic data analysis, and conducting market research studies by analyzing both primary and secondary data sources. Collaboration is key in this role, as you will work closely with the research team to develop reports, presentations, and dashboards. You will contribute to narrative development, create data visualizations, and ensure the accuracy and quality of research outputs before submitting them for review by senior team members. To excel in this role, you should hold a Bachelor's or Master's degree in a related field such as Industrial/Organizational Psychology, Social Psychology, Statistics, Business Analytics, Market Research, or another quantitative social science field. Additionally, you should have at least 2 years of professional-level experience in research, data analytics, or market research, with a strong background in survey programming, data analysis, and market research methodologies. Your proficiency in survey programming tools, data analysis software, and market research techniques will be essential in this role. Strong organizational skills, effective communication, and the ability to work both independently and collaboratively with cross-functional teams will also be critical to your success. If you have experience in data visualization, dashboard creation, SQL database queries, or qualitative data analysis, it will be considered a plus. Familiarity with Total Rewards programs, workplace research, human resources topics, and user experience research principles will also be beneficial in this role. Join us at WorldatWork and be part of a dynamic team that is dedicated to advancing the field of Total Rewards through research, data analysis, and market insights.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automatable data and technology solutions in line with the data42 strategy. - Be a data subject matter expert (SME), understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements, conversion to common data models and standards, FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies using AI models for RWD analysis across the Research Development Commercial continuum. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains for priority disease areas to execute complex and critical business problems with quantified business impact. Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline with proven expertise in AI/ML. - 8+ years of relevant experience in Data Science. - Extensive experience in Statistical and Machine Learning techniques. - Proficiency in tools and packages like Python, SQL, and exposure to dashboard or web-app building. - Knowledge in data standards e.g. OHDSI OMOP, FHIR HL7, and other data standards. - Strong collaboration skills with stakeholders in an individual contributor capacity. - High learning agility and adherence to updates in the industry and area of work. - Optional experience in Biomedical Research and development in pharma is a bonus. Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If you need accommodation, please send an e-mail to [email protected] and let us know your request and contact information. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.,