3.0 - 7.0 years

0 Lacs

chennai, tamil nadu

On-site

As a Colleague Experience Survey Analyst, you will have a significant impact on enhancing employee engagement and experience through data-driven insights and strategic planning. Your role will involve collaborating across various functions to create, implement, and analyze feedback mechanisms that drive organizational transformation and cultivate a culture of excellence. Your responsibilities will include leading the entire survey research process, from developing questionnaires to analyzing data and generating reports. By applying statistical techniques like inferential statistics, correlations, and regression analysis, you will extract valuable insights that guide actionable steps based on employee feedback. Additionally, your expertise will be instrumental in supporting HR digital transformation initiatives and aligning resources to meet organizational needs effectively. The ideal candidate for this role should possess a strong background in survey analytics, with hands-on experience using platforms like Glint, PeakOn, or Qualtrics. Proficiency in SQL, Python, or similar data querying tools is essential, along with skills in benefits tracking, change management, and continuous improvement methodologies. Excellent problem-solving abilities, decision-making skills, and presentation capabilities are crucial for success in this position. Furthermore, candidates with experience in agile team environments and a proactive work approach will stand out. Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint, is highly desirable. Business acumen and the ability to translate data into strategic insights and recommendations will be key assets in this role. In terms of qualifications, a Bachelor's degree is required, while a Master's degree in any discipline is preferred. Critical capabilities such as risk and controls, strategic thinking, change and transformation, digital & technology acumen, and role-specific technical competencies may be assessed as part of the evaluation process.,

Posted 2 days ago

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Principal Non - Clinical Biostatistician GlobalHunt

5.0 - 9.0 years

0 Lacs

hyderabad, telangana

On-site

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.,

Posted 3 days ago

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The cleaned title extracted from the string Data Scientist with 5+ YOE is Data Scientist . Ascentt

5.0 - 9.0 years

0 Lacs

indore, madhya pradesh

On-site

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.,

Posted 6 days ago

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