9 Descriptive Statistics Jobs

You are a highly skilled and experienced Senior Tableau Developer who will be joining our growing data visualization team. Your role will involve creating compelling and insightful dashboards and visualizations to transform complex data into actionable insights for business stakeholders. Your responsibilities will include designing, developing, and maintaining interactive Tableau dashboards and visualizations, connecting to various data sources, performing data modeling and transformation, creating complex calculations, parameters, and calculated fields, developing and maintaining Tableau Server workbooks and data sources, collaborating with business stakeholders to gather requirements, selecting and implementing appropriate statistical methods and visualizations, providing training and support to end-users, staying up-to-date with the latest Tableau features and best practices, contributing to the development of data visualization standards and guidelines, performing performance tuning and optimization of Tableau dashboards, troubleshooting and resolving Tableau-related issues, and mentoring junior Tableau developers. To qualify for this role, you should have a Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field, along with 5+ years of experience developing Tableau dashboards and visualizations. You should have advanced proficiency in Tableau Desktop and Server, a strong understanding of statistical concepts and methods, experience with data warehousing concepts and relational databases, and excellent analytical and problem-solving skills. Additionally, you should have the ability to communicate complex technical and statistical concepts to non-technical audiences, strong collaboration and communication skills, and experience with other data visualization tools like Power BI and Qlik Sense. If you have Tableau certification, it will be considered a plus.,

Are you prepared to have a significant impact at DTCC Are you eager to contribute to innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development At DTCC, we are pioneering innovation in the financial markets. We are dedicated to supporting the growth and success of our employees. We trust in your skills and determination to create a tangible impact. We nurture a thriving internal community and are dedicated to building a workplace that mirrors the diversity of the world we serve. The Information Technology group at DTCC delivers secure and reliable technology solutions that empower DTCC to serve as the trusted infrastructure of the global capital markets. The team ensures the delivery of high-quality information by engaging in activities such as developing essential solutions, constructing infrastructure capabilities to meet client requirements, and implementing data standards and governance protocols. DTCC offers a comprehensive package of health, life insurance, and well-being benefits tailored to specific locations. Additionally, employees can benefit from pension/retirement options, paid time off, personal/family care, and other leave options that support physical, financial, and emotional well-being. DTCC also provides a flexible/hybrid work model of 3 days onsite and 2 days remote, with onsite presence required on Tuesdays, Wednesdays, and a third day customized for each team or employee. In this role, as a Capacity Planning Engineer for Mainframe at DTCC, you will collaborate with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity. Your responsibilities will include collecting, processing, and validating system resource data and business volume data for future analysis using data science principles. You must possess a fundamental understanding of Mainframe technology, be familiar with sources and tools used for data collection, validation, and processing, and have a strong background in descriptive statistics to derive insights from raw data using SAS software in mainframe and distributed environments. Your primary responsibilities will involve monitoring and analyzing mainframe system performance and capacity trends, collecting, processing, and validating large datasets from various sources, applying descriptive statistical techniques to interpret raw data, utilizing SAS software to generate reports and insights for capacity planning decisions, collaborating with cross-functional teams to ensure data accuracy and relevance, and contributing to the development of tools and processes that enhance data collection and analysis. Qualifications for this role include a minimum of 6 years of related experience, a Bachelor's degree in a mathematics/statistics subject area preferred, or equivalent work experience. Key talents needed for success in this role include a foundational understanding of mainframe systems, proficiency in SAS or similar statistical software, MS Office skills with a focus on intermediate PowerPoint and Excel proficiency, excellent analytical skills encompassing data exploration and analysis, a strong foundation in Descriptive Statistics, and an understanding of mainframe technology and components.,

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. At Target, we have a timeless purpose and a proven strategy, and that hasn't happened by accident. Some of the best minds from diverse 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. 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 diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win. The People Analytics team's mission is to empower a data-driven approach to HR and people decisions regarding our global workforce. We are uniquely positioned to provide unbiased insights to unlock value and drive outcomes and to enable and influence HR and business strategy. The People Analytics team integrates into the business as strategic HR analytics partners and anticipates and uncovers stated or unstated needs. They use analytics expertise to test, measure, analyze, understand, and answer various business questions. The team provides reporting to help inform on the current state of the business and help facilitate processes at scale. They connect understanding across business and HR to deliver data-driven products and solutions, providing meaningful insights and recommendations. About the role: Our Data Analysts are expected to explore data, technologies, and the application of mathematical techniques to enable business insights. Data analysts accomplish this through a wide variety of skills including data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, and the presentation of recommendations and insight. Analysts work within an agile environment, which requires active participation in ceremonies to accomplish the team's goals. They also develop domain knowledge as they learn about their business area and support applying key data management principles like metadata management, data profiling, and documenting data lineage. Key Responsibilities: - Actively explore data for specific use cases. - Develop expertise in business domain and processes. - Create measurable insights from the data to be shared. - Develop metrics, measurement strategy, reports, and statistics. - Document calculations, code, and adhere to data management principles. - Validate and test data assets of others in the form of peer review. - Explore statistical analysis that could be applied to the data. - Perform descriptive statistics including mean, variance, median, correlation. - Apply insights and testing in partnership with business users. - Be an active participant in team meetings. - Lead agile ceremonies. - Ability to work independently to turn business problems into data solutions. - Serve as a thought leader and mentor on business domain and analytical techniques to elevate team performance. Qualifications: - BA/BS or equivalent experience. - 9+ years" work experience in data analysis or master's level education in business analytics, data science, etc. - Demonstrated leader in knowledge and application of data, reporting, and analytics. - Proficient with various programming languages - SQL, R, Python. - Proficient with relational and non-relational databases. - Strong domain-specific knowledge in Human Resources data and processes. - Prior experience in human resources or talent/people analytics industry. - Strong mathematical and statistical skills. - Excellent communication skills with the ability to speak to both business and technical teams. - Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models, and analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics, and/or equivalent technologies.,

Are you ready to make an impact at DTCC Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance. Comprehensive health and life insurance and well-being benefits, based on location. Pension / Retirement benefits. Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The Impact you will have in this role: The Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in both descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments. Your Primary Responsibilities: - Monitor and analyze mainframe system performance and capacity trends. - Collect, process, and validate large datasets from various system and business sources. - Apply descriptive statistical techniques to summarize and interpret raw data. - Utilize SAS software to generate reports and insights that inform capacity planning decisions. - Collaborate with cross-functional teams to ensure data accuracy and relevance. - Contribute to the development of tools and processes that enhance data collection and analysis. **NOTE: The Primary Responsibilities of this role are not limited to the details above. ** Qualifications: - Minimum of 6 years of related experience. - Bachelor's degree in a mathematics/statistics subject area preferred or equivalent work experience. Talents Needed for Success: - Foundational understanding of mainframe systems. - Proficiency in SAS or similar statistical software. - MS Office skills, in particular intermediate PowerPoint, and Excel skills. - Excellent analytical skills including data exploration, analysis. - Good foundation in Descriptive Statistics. - Understanding of mainframe technology and components.,

As a Senior Data Scientist with 5+ years of experience, you will play a crucial role in our team based in Indore/Pune. Your responsibilities will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to facilitate business decision-making. You should have a strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. Your expertise should extend to Model Tuning, Model Validation, Supervised and Unsupervised Learning. Additionally, hands-on experience with model development, data preparation, and deployment of models for training and inference is essential. Proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis and exploration are key skills required for this role. You should be adept at developing code that enables reproducible data analysis. Familiarity with AWS services like Sagemaker, Lambda, Glue, Step Functions, and EC2 is expected. Knowledge of data science code development and deployment IDEs such as Databricks, Anaconda distribution, and similar tools is essential. You should also possess expertise in ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis. Your skills should include proficiency in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. Experience with end-to-end model deployment and production for at least 1 year is required. Familiarity with Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker is preferred. Basic knowledge of deep learning algorithms like MaskedCNN, YOLO, and visualization and analytics/reporting tools such as Power BI, Tableau, Alteryx would be advantageous for this role.,

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communication of findings and recommendations to management across various departments will be a crucial aspect of your role. Furthermore, you will support implementation efforts and lead and mentor the team working in the Data Competency Centre. To excel in this role, you should possess a Bachelor's degree in data science, computer science, electrical engineering, applied statistics, or physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence, or Machine Learning algorithm development. Alternatively, a Master's degree with 5+ years of relevant work experience or a PhD with 4+ years of relevant work experience in the aforementioned fields will also be considered. A working knowledge of budgets and financial statements is required. Key skills and competencies for this position include demonstrated experience in managing teams, coaching team members to drive results, proficiency in programming languages and statistical software tools (such as Python, SAS, R, JMP), relational databases (SQL server), and data analysis and visualization software (preferably PowerBI, SAS). You should also have experience with standard data science and machine learning packages, as well as machine learning model tradeoffs and computer vision models. Strong communication skills are essential to effectively collaborate with various business partners and communicate complex data relationships and statistical model results. Your essential responsibilities will involve statistical analysis and model development in collaboration with business partners, internal teams, and Enterprise Data Management. You will explore data using statistical techniques to answer business questions, build hypotheses, and identify research data attributes. Additionally, you will lead the development of experimental designs for business initiatives, apply advanced statistical techniques, build predictive models, and deploy computer vision models to meet business needs. Providing guidance and direction related to statistical analysis, as well as effectively communicating and delivering statistical and predictive model results to business partners, are critical aspects of this role. You will report to the Head of Automation Digital Transformation USA and will have direct reports. Some travel may be required for this position. This is a full-time role based in Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN. If you believe you meet the qualifications and can excel in fulfilling the responsibilities outlined for this role, we encourage you to apply. All candidates receiving an offer of employment must successfully complete a background check and any other required tests. Job Identification: 1021960 Job Category: NPI-HSRT Integration Data Science Posting Date: 07/17/2025, 12:17 AM Job Schedule: Full time Work Schedule: Normal Shift New (PMT),

You will be responsible for contributing to the reliability, scientific quality, and optimization of project support throughout the entire process from target identification to process development. This will involve performing statistical analyses of data generated in the laboratories using R and potentially other programming languages to generate statistical reports. Additionally, you will play a key role in the development and maintenance of statistical end-user tools. Your expertise will be utilized in representing statistics within various scientific or technology working groups and cross-functional initiatives. To excel in this role, you should possess a strong background in non-clinical statistics as applied to biopharmaceutical development. Your proven experience in industrial statistics, including descriptive and inferential statistics, statistical process control, design of experiments, multivariate data analysis (such as PCA, PLS, and related methods), and statistical modeling and simulation will be crucial. A sound understanding of statistical concepts and techniques, such as predictive modeling and repeated measure ANOVA, is essential. Additionally, familiarity with pharmaceutical research and development, particularly in in-vitro testing, is desirable. Knowledge of CMC regulatory guidelines from organizations such as EMA, FDA, and ICH Quality, as well as QbD principles, will be valuable in this role. Your ability to prepare statistical analyses for regulatory dossiers and ensure compliance with relevant guidelines will be pivotal to the success of the projects you are involved in.,

As a Senior Data Scientist with 5+ years of experience, you will be responsible for designing and implementing models, mining data for insights, and interpreting complex data structures to drive business decision-making. Your expertise in machine learning, including areas such as NLP, Machine vision, and Time series, will be essential in this role. You will be expected to have strong skills in Model Tuning, Model Validation, Supervised and Unsupervised Learning, and hands-on experience with model development, data preparation, training, and inference-ready deployment of models. Your proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis will help in developing code for reproducible analysis of data. Experience with AWS services like Sagemaker, Lambda, Glue, Step functions, and EC2 is necessary, along with knowledge of Databricks, Anaconda distribution, and similar data science code development and deployment IDEs. Your familiarity with ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis will be highly valued. You should have expertise in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. End-to-end model deployment and production experience of at least 1 year is required, along with a good understanding of Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker. Basic knowledge of deep learning algorithms such as MaskedCNN, YOLO, and familiarity with Visualization and analytics/Reporting Tools like Power BI, Tableau, and Alteryx will be considered advantageous for this role.,

About the job: Key responsibilities: 1. Write clear, concise, and meaningful alt text descriptions for a wide range of images (educational, illustrative, technical, etc.). 2. Ensure that all alt texts follow accessibility standards (WCAG) and provide an inclusive experience for visually impaired users. 3. Maintain quality, tone, and formatting consistency across all submitted work. 4. Adhere strictly to academic integrity and originality requirements. Who can apply: Only those candidates can apply who: Salary: ₹ 5,00,000 - 5,00,001 /year Experience: 0 year(s) Deadline: 2025-06-05 23:59:59 Skills required: Descriptive Statistics Other Requirements: 1. Strong written English. 2. Attention to detail. 3. Understanding of accessibility standards (preferred but not mandatory). 4. Ability to describe visual content effectively and neutrally. About Company: We specialize in web content development and offer a variety of services to our clients, such as content creation, text, and video solution development, assessment development, audio recording, content translation, and content proofreading.