1985 Statistical Modeling Jobs - Page 50

Roles and Responsibilities Characterization of plasma proteins by various physicochemical methods Responsible for stability sample analysis by different methods and its data management Analytical Method Qualification and Analytical Technology transfer Method Development & Troubleshooting Instruments Handling/ Techniques: SDS-Page , HPLC , GC, IEF and Western blot, ELISA Reference standard qualification, instrument & micropipette calibration Responsible for document preparation/review of LPs, MOA, MQP, MQR,TTD and documentation of related activities Desired Candidate Profile Candidate should have experience in biopharma/ biotech industry

As an Economic Analyst for North America (NAM) at the Mastercard Economics Institute (MEI), you will play a crucial role in contributing to economic research and data analytics for the U.S. and Canada. Reporting directly to the VP, Lead Economist for North America, you will be responsible for engaging in client and stakeholder interactions, collaborating with external partners, and generating actionable insights to support impactful economic storylines and visuals. Your role will involve synthesizing analyses into clear recommendations, assisting in the creation of reports and client presentations, and enhancing existing products while also contributing to the development of new solutions. Y...

GreenCell Mobility is seeking a strategic and analytical Senior Manager - Pricing and Competition Benchmarking Analyst to develop and implement competitive pricing strategies. This role is critical for optimizing revenue, ensuring alignment with dynamic market conditions in the electric bus and shared mobility sector, and achieving key business objectives. The incumbent will be responsible for continuous monitoring of competitors, analyzing market trends, and providing actionable insights to drive informed pricing decisions and maintain GreenCell Mobility's competitive positioning. Key Responsibilities: Competitive Benchmarking: Conduct regular, in-depth analysis of competitor pricing, promo...

You are an experienced Senior Quantitative Analyst (Model Developer/Validator) with a strong background in credit risk modeling, particularly focusing on Internal Credit Risk Rating modeling. Your expertise will be crucial in leading the development and validation of sophisticated credit risk models for retail and wholesale portfolios. Your responsibilities will include developing and validating credit risk models such as PD, EAD, LGD, with a special emphasis on Expert judgement-based PD models for Corporate, Specialised Lending, and Financial Institutions. You will also be responsible for data preparation and preprocessing using tools like SAS, Python, R, and SQL. Collaborating with various...

As a Senior Analytics Consultant in the banking sector, you will leverage your expertise in areas such as credit risk modeling, fraud detection, and marketing analytics to lead client-facing engagements. With over 5 years of experience, you will play a key role in designing and implementing advanced models, translating data insights into strategic recommendations, and ensuring compliance with regulatory standards. Your responsibilities will include leading and managing analytics projects focusing on credit risk, fraud analytics, and marketing analytics for banking clients. You will collaborate with clients to define business problems, develop analytic frameworks, build and validate statistic...

The Specialized Analytics Senior Analyst is a seasoned professional role that requires in-depth disciplinary knowledge and expertise. You will contribute to the development of new techniques and process improvements within your area of function. Your role will involve integrating subject matter and industry expertise to ensure the smooth operation of processes. You must have a comprehensive understanding of how different areas integrate within the sub-function and how they contribute to the overall objectives of the function and business. You will be responsible for evaluating moderately complex issues with potential impacts, requiring you to weigh various alternatives and balance conflictin...

The role of Asset Predictive Analytics (APA) support for industrial clients involves utilizing data analysis and machine learning techniques to predict potential failures and optimize maintenance strategies for mechanical equipment. As the ideal candidate, you will have a strong understanding of mechanical systems, data analysis, and predictive modeling to enhance equipment reliability and minimize downtime. Your responsibilities will include implementing Asset Predictive Analytics (APA) for major rotating and static equipment, such as compressors, pumps, turbines, motors, blowers, fans, heaters, distillation columns, transformers, and heat exchangers. You will be involved in data collection...

As a Data Science Associate Director at Accenture Strategy & Consulting's Global Network Data & AI practice in the Resources team, your role will involve collaborating with clients and stakeholders to drive business growth and identify new opportunities. You will be responsible for solution architecting, designing, building, deploying, delivering, and monitoring advanced analytics models to address various client problems. Your strategic mindset will play a crucial role in translating engineering and business problems into analytics challenges to deliver actionable insights and operational enhancements. Your responsibilities will include interfacing with clients and account teams, collaborat...

The Data Science Analyst role at Citi, located in Gurgaon, is a developing professional position within the GWFO team. As a Data Science Analyst, you will utilize specialized knowledge in machine learning, statistical modeling, and data analysis to evaluate processes and data, identifying opportunities for leveraging advanced analytics to enhance business outcomes. You will play a key role in automating processes, generating actionable insights, and developing innovative AI solutions to contribute to the organization's success. Collaboration with cross-functional stakeholders is a fundamental aspect of this role. In this position, your responsibilities will include gathering and processing o...

You are a skilled Quantitative Researcher who will be joining our team to develop advanced algorithmic trading strategies for cryptocurrency markets. Leveraging your deep quantitative skills, market insights, and statistical modeling, you will be responsible for researching, designing, and testing trading strategies that capture alpha in digital asset markets. Your key responsibilities will include researching and developing quantitative trading strategies for crypto markets across spot, perpetual futures, and derivatives. You will analyze market microstructure, order flow, and liquidity to identify trading opportunities. Additionally, you will design and implement statistical and machine le...

You are an experienced Lead Data Scientist with a minimum of 8 years of professional experience, including at least 6 years in a data science role. Your expertise lies in statistical modeling, machine learning, deep learning, and GenAI. Proficiency in Python is a must, along with hands-on experience in optimizing code for performance. You excel in data preprocessing, feature engineering, data visualization, hyperparameter tuning, and have a solid understanding of database concepts, especially while working with large datasets. You have experience deploying and scaling machine learning models in a production environment, along with familiarity with machine learning operations (MLOps) and rela...

The Spec Analytics Intmd Analyst is a developing professional role. You will be dealing with most problems independently and have some latitude to solve complex problems. It is essential to integrate in-depth specialty area knowledge with a solid understanding of industry standards and practices. You should have a good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/job family. Applying analytical thinking and knowledge of data analysis tools and methodologies is crucial. Attention to detail is required when making judgments and recommendations based on the analysis of factual information. You will typically deal with variable ...

Critical Skills to Possess: Advanced working knowledge and experience with relational and non-relational databases. Advanced working knowledge and experience with API data providers Experience building and optimizing Big Data pipelines, architectures, and datasets. Strong analytic skills related to working with structured and unstructured datasets. Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines. Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages. Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse. Familiarity with...

Responsibilities : Lead AI Strategy: Oversee AI/ML projects from development to deployment, ensuring alignment with business goals. Model Development & Fine-tuning: Lead the fine-tuning of LLMs and advanced NLP models to meet enterprise needs. Team Leadership: Manage and mentor data science teams, fostering growth and innovation. Cross-functional Collaboration: Work with engineers, product teams, and leadership to drive AI initiatives. Optimization & Deployment: Ensure efficient workflows, containerization (Docker), and scalable model deployment. Client Engagement: Provide strategic insights and translate AI capabilities into business solutions. Good to Have: Cloud Platform Expertise: Experi...

Please Note- Its 6 days WFO from Client location in Kolkata Role & responsibilities Data Science & AI Specialist in Kolkata requires strong programming skills in Python and experience with AI/ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost). Proficiency in Jupyter and Databricks, along with experience in time-series modeling, advanced regression, anomaly detection, and optimization algorithms , is necessary. An understanding of energy systems, including renewables, grid infrastructure, and smart meters, is advantageous. Candidates should be familiar with cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment and monitoring, as well as data visualization tools (...

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine...

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine...

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview of the role As a member of theEnterprise Insights teamat Target in India, you will expand efforts to help shape the ideal guest (consumer) experienceand drive business and communication strate...

• 4 6 years of relevant analytics experience in banks, NBFCs, Fintechs, consultancies. • Lead end to end execution of analytical requirements including model development, implementation & stakeholder communication. • Strong understanding of ML algorithms and statistical modelling to address problems predominantly in BFSI domain. • Articulate complex data science models / analysis to relevant audience and effectively present the solution in a concise & neat manner. • Design, prototype, build & maintain frameworks for consumption of machine learning models at scale. • Perform feature engineering through extracting meaningful features from traditional and alternate data sources. • Mentor team o...

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement mod...

About The Role Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experience...

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 distrib...

Desired Experience Experience of biostatistics in regulated markets Interacted with regulatory agencies (FDA/EMA/PMDA) Experience of biosimilar product development Knowledge of statistical models, meta-analysis, regression, longitudinal data analysis Knowledge of using relevant software including PASS, SAS, SPSS, R Job Description Prepare scientifically sound statistical design for clinical trials Design clinical trials for biosimilars for global requirements (FDA/EMA/PMDA) Perform meta-analysis and calculate sample size Prepare statistical justifications for agency interactions (FDA/EMA/PMDA) Review and provide inputs to statistical sections of clinical trial protocol Plan and perform blind...

About the Role You'll be the Science Tech Lead (Individual Contributor) for a team of 5-7 members based in India, working closely with Engineering and Product leads to create and execute the direction of the product development. This includes crafting machine learning, statistics, or analytical solutions to achieve business goals, guiding the team's direction through data-driven insights and algorithmic thinking, mentoring scientists and establishing cross functional relationships with partner teams at different locations. Basic Qualifications Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. 9+ years of industry experien...