1143 Statistical Modeling Jobs - Page 22

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Why Join Us Competitive pay (1000/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1000 per hour (if you work an average of 3 hours every day that could be as high as Rs 90K per month) once you clear our screening process Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Why Join Us Competitive pay (1000/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1000 per hour (if you work an average of 3 hours every day that could be as high as Rs 90K per month) once you clear our screening process Shape the future of AI with Soul AI!

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Transformation STAR Analyst Primary Responsibilities Anticipate customer needs and proactively identified solutions Provide insight into areas of opportunity on metrics and / or the efficient use of resources using data both internally as well as with our vendor partners Utilize models, dashboards, processes to facilitate awareness and understanding both within the workforce teams as well as the operational business units they support Plan, prioritize, organize, and complete work to meet established objectives Find creative solutions to complex problems through data management and analytics Communicate strategic plans, trends and volume expectations for internal and vendor populations Anticipate customer needs and proactively identify solutions Make decisions autonomously with little direction to identify/solve complex problems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 2+ years of experience in service operations center, call center or Workforce Management 1+ years of experience with Workforce Management software (such as IEX, Aspect, Workforce Management IEX, Blue Pumpkin) 1+ years of experience leading or managing projects 1+ years of statistical analysis experience Preferred Qualifications Undergraduate degree 1+ years of experience working in systems administration, logistics, demand planning, or reporting 1+ years of experience working with financial models/budgets Experience scheduling, conducting planning meetings, and managing capacity Health care industry experience 1+ years of SQL coding 1+ years of Tableau utilization Demonstrated Skills: Analytical skills Statistical modeling experience Excellent written and verbal communication Presentation skills Advanced understanding of Excel Negotiation or influence and relationship management skills Be a solid change agent and resilient to roadblocks Bias toward action Solve complex problems on own; proactively identifies new solutions to problems At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #njp #SSWFM External Candidate Application Internal Employee Application

Key Responsibilities: Write and optimize statistical code for data analysis and model development. Implement statistical methods for clinical trials, research, and business insights. Work with large datasets, ensuring the data is accurate, clean, and well-organized. Required Qualifications: 2+ years of experience in statistical programming. Proficiency in statistical programming languages like SAS, R, or Python. Experience in data visualization and reporting using tools such as Tableau or Power BI.

Key Responsibilities: Write and optimize statistical code for data analysis and model development. Implement statistical methods for clinical trials, research, and business insights. Work with large datasets, ensuring the data is accurate, clean, and well-organized. Required Qualifications: 2+ years of experience in statistical programming. Proficiency in statistical programming languages like SAS, R, or Python. Experience in data visualization and reporting using tools such as Tableau or Power BI.

Key Deliverables: Lead end-to-end development of scalable ML models and data solutions Implement MLOps workflows for versioning, deployment, and monitoring Design and conduct A/B testing and statistical analysis for insight generation Optimize large-scale data pipelines and ensure model performance in production Role Responsibilities: Collaborate with cross-functional teams to deliver high-impact AI projects Apply deep learning, reinforcement learning, or ensemble methods as needed Utilize cloud platforms and container tools for scalable model deployment Translate business problems into data-driven solutions with measurable outcomes

Key Responsibilities: Apply statistical methods to analyze large datasets. Develop and interpret statistical models to inform business decisions. Provide actionable insights based on statistical analysis. Required Qualifications: 3+ years of experience as a statistician or data analyst. Strong knowledge of statistical software (e.g., R, SPSS, SAS). Excellent analytical and problem-solving skills.

Title : Data Science Lead (Credit Risk & Analytics) - Chennai/Bangalore (Hybrid) We're searching for a passionate Data Science leader to head up a talented team and revolutionize our client's understanding of credit risk. You'll leverage your expertise in advanced analytics, machine learning, and credit risk to develop intelligent solutions that drive business impact. What You'll Do: Guide and empower: Lead and mentor a team of data scientists and analysts, fostering their growth and expertise. Uncover hidden insights and business findings: Analyze diverse data sources, including customer data, cases, and stakeholder feedback, to extract valuable insights. Bridge the gap: Collaborate with business partners to design and implement data-driven solutions that tackle emerging business challenges. Automate for success: Develop intelligent, scalable, and automated solutions using your data science skills. Tech-savvy collaboration: Work with other technology leaders and engineers to define requirements and prioritize capabilities based on data analysis and business needs. Project ownership: Independently lead analytics and data science projects, setting goals, estimating benefits, and managing timelines. Communication is key: Clearly communicate complex findings and actionable outcomes to leadership, peers, stakeholders etc.. Who You Are: Data Science Rockstar: 4+ years of experience in advanced analytics, statistical modelling, and machine learning. Experience in Credit Risk: In-depth understanding of the credit risk lifecycle, from origination to debt collection in the lending domain(b2c).- ***Non-Negotiable*** Tech know-how (must): Proficiency in Python, SQL/NoSQL, ML algorithms, big data concepts, and cloud implementations experience and expertise. Always Learning: Continuously seeks out new knowledge, ideas, and feedback to build personal expertise. Leadership & Communication: Strong organizational skills, follow-through, and exceptional written, verbal, and interpersonal communication. Problem-Solving Powerhouse: High emotional intelligence, can-do attitude, and creative approach to solving problems. Self-starter: Takes ownership, drives projects with minimal guidance, and focuses on high-impact work. Education: Preference would be given to premium educational institute candidates Bonus Points: Collections and Digital Channels experience. Big data and cloud computing experience (Spark, Hadoop, MapReduce, PIG, HIVE). Prior Credit Risk and Credit score domain experience. Location: 1st Preference Chennai/ 2nd Preference Bangalore (Hybrid work model)

We are looking for a skilled Senior Manager - Risk Analyst to join our team in Mumbai. The ideal candidate will have 3-6 years of experience and an MBA from a reputed institute, with excellent data understanding and analytical skills. Roles and Responsibility Develop, implement, and review credit risk models and associated frameworks in unsecured rural/semi-urban lending. Implement and monitor credit risk strategies across the lending life cycle, including acquisition, underwriting, cross-sell, and collections. Periodically review portfolios across various risk metrices to identify early warning signals and analyze portfolio trends to track quality on accepted risk parameters. Ensure timely reviews of risk policies to reflect the dynamic external environment and internal risk appetite. Analyze industry data, prepare MIS/Dashboards, and inform senior management about market conditions. Regularly visit branches to evaluate portfolio quality and adherence to policy norms. Coordinate with internal teams such as Quality Control, Product, Business, IT, and Data Science to strengthen the risk framework. Job An MBA from a reputed institute is required. 3-6 years of experience in managing risk in a Bank/NBFC. Excellent data understanding and analytical skills, with advanced Excel knowledge. Sound knowledge of statistical models. Experience in microfinance/inclusive finance is advantageous. Strong coordination and communication skills are necessary.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . experience in data science, machine learning, AI applications, and generative AI modeling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

We are looking for a highly skilled and experienced Manager - Risk Analyst to join our team in Mumbai. The ideal candidate will have 3-6 years of experience in managing risk within the banking or NBFC industry. Roles and Responsibility Develop, implement, and review credit risk models and associated frameworks for unsecured rural/semi-urban lending. Implement and monitor credit risk strategies throughout the lending lifecycle, including acquisition, underwriting, cross-sell, and collections. Periodically review portfolios across various risk metrics to identify early warning signals and analyze trends to track portfolio quality. Ensure timely reviews of risk policies to reflect changes in the external environment and internal risk appetite. Analyze industry data, prepare MIS/Dashboards, and inform senior management about market conditions. Regularly evaluate processes for adherence to risk policies and check the effectiveness of controls. Visit branches regularly to assess portfolio quality and adherence to policy norms. Coordinate with internal teams such as Quality Control, Product, Business, IT, and Data Science to enhance the risk framework. Job MBA from a reputable institute. 3-6 years of experience in managing risk within the banking or NBFC sector. Possess excellent skills in understanding data and deriving insights, along with advanced Excel knowledge. Demonstrate sound knowledge of statistical models. Experience in microfinance/inclusive finance is advantageous. Strong analytical and problem-solving skills are essential.

3+ Years of experience in Data Scientists with Python, Tensorflow and Pytorch. Experience in AI techniques (e.g., machine learning, predictive analytics. optimization, semantic analysis, time-series analysis) to real-world problems

Development of next generation handwriting recognition technologies You will be working with cutting edge research going on in fields like machine learning, computational geometry and statistical modeling

Aster Medcity is looking for Research Associate.Neurology.MIMS Hospital Calicut to join our dynamic team and embark on a rewarding career journeyAs a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects.Conduct research studies and analyze data using a variety of research methods and tools.Analyze and interpret data using statistical software and other analytical tools.Prepare reports and presentations summarizing research findings and conclusions.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and data visualization. Experience with analytical tools such as Excel, SQL, or programming languages like Python or R. Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions. Ability to prioritize multiple tasks and deadlines in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-9 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with data visualization tools such as Tableau or Power BI. Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Ability to prioritize multiple projects in a fast-paced environment. Strong problem-solving skills, with the ability to think critically and outside the box. Proficiency in Microsoft Office Suite, particularly Excel, Word, and PowerPoint.

Job Title: R Shiny Engineer/Data Scientist Required Experience: 3-4 years Job Description: As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Responsibilities: Team Leadership: Lead, mentor, and inspire a team of junior data scientists, fostering a collaborative and innovative work environment. Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals. Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning: Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals. Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies. Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics and Statistical Modeling: Design, develop, and implement advanced machine learning models and statistical algorithms to extract insights and solve complex business problems. Apply robust statistical process control (SPC), univariate and multivariate analysis, and both parametric and non-parametric statistical techniques. Conduct hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and other statistical methods to ensure data quality and model validity. Work extensively with batch genealogy data and large manufacturing datasets to uncover patterns and optimize operational efficiency. Ensure strong statistical analysis support for both normal and non-normal distributions R Shiny Application Development: Develop and maintain robust, interactive R Shiny applications to support dynamic data exploration and decision-making platforms. Build scalable and user-driven front-end interfaces for real-time statistical analysis and visualization. Collaborate with backend engineers to integrate R Shiny platforms with Redshift and other data sources for seamless analytics delivery. Cross-functional Collaboration: Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes. Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality: Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis. Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management: Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met. Provide regular project updates to stakeholders and manage expectations effectively. Technical Expertise: Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage Transformers for complex natural language processing-based tasks. Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection; Provide oversight for core deep learning algorithms like Neural Architecture Search for optimization and Graph Neural Networks for molecular structures. Qualifications: Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.) Minimum 1.5+ years of experience leading a team of junior data scientists, with a proven track record of successful project implementations. Proven experience in developing and deploying R Shiny applications for real-time analytics and statistical platforms. In-depth experience with SPC, hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and batch genealogy analysis. Experience in developing statistical solutions for both normal and non-normal distributions, and applying both univariate and multivariate techniques. Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. Experience in MLOps, Statistical Modeling, and Data Visualization. Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above. Must have hands-on experience with Deep Learning technologies for computer vision and image processing, as well as core neural network applications like optimization. Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. Experience in the development and implementation of scalable and efficient data pipelines using AWS services such as SageMaker, S3, Glue, and/or Redshift. Excellent leadership, communication, and interpersonal skills. Experience with big data technologies and cloud platforms is a plus. Industry IT Services and IT Consulting

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-9 years of experience in the IT Services & Consulting industry. Roles and Responsibility Analyze complex data sets to identify trends and patterns, providing insights to stakeholders. Develop and implement process improvements to increase efficiency and productivity. Collaborate with cross-functional teams to achieve business objectives. Design and execute experiments to test hypotheses and validate results. Communicate findings and recommendations to senior management through reports and presentations. Stay updated with industry trends and emerging technologies to drive innovation. Job Requirements Strong analytical and problem-solving skills, with attention to detail and accuracy. Excellent communication and interpersonal skills, enabling effective collaboration with diverse stakeholders. Ability to work in a fast-paced environment, prioritizing multiple tasks and meeting deadlines. Proficiency in data analysis tools and software, with strong programming skills in languages such as Python or R. Experience with statistical modeling and machine learning techniques, applied to real-world problems. Strong business acumen, with an understanding of industry trends and market dynamics.

We are looking for a highly skilled and experienced Market Research Analyst to join our team in the Chemicals & Energy sector. The ideal candidate will have 6-8 years of experience in market research, analysis, and data interpretation. Roles and Responsibility Conduct market research and analyze data to identify trends, opportunities, and challenges in the Chemicals & Energy industry. Develop and maintain databases and spreadsheets to track market metrics and performance indicators. Collaborate with cross-functional teams to develop business strategies and plans. Analyze and interpret complex data sets to inform business decisions. Prepare reports and presentations to communicate findings and recommendations to stakeholders. Stay up-to-date with industry developments and emerging trends. Job Requirements Strong analytical and problem-solving skills with attention to detail and accuracy. Excellent communication and interpersonal skills, with the ability to work effectively with diverse stakeholders. Proficient in Microsoft Office, particularly Excel, Word, and PowerPoint. Experience with data analysis tools and software, such as statistical modeling and forecasting techniques. Ability to prioritize tasks and manage multiple projects in a fast-paced environment. Strong organizational and time management skills, with the ability to meet deadlines and deliver high-quality results.

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=7 to 13 , jd= Data Scientist Python and Notebooks Responsibilities We are seeking a talented Data Scientist to join our team and drive datadriven decisionmaking across our organization The ideal candidate will have a strong background in statistical analysis machine learning and data visualization with experience working with large datasets in a Teradata environment Responsibilities Design and implement endtoend data science projects from problem definition to model deployment Develop and apply advanced machine learning algorithms and statistical models to solve complex business problems Collaborate with crossfunctional teams to identify opportunities for datadriven improvements Conduct exploratory data analysis and feature engineering to prepare data for modeling Create and maintain dashboards and reports to communicate insights to stakeholders Optimize data collection procedures and ensure data quality Stay current with the latest advancements in data science and machine learning techniques Implement and maintain onpremise AIML solutions Apply Explainable AI techniques to enhance model interpretability and transparency 1013 years of experience in data science or related field Strong proficiency in Python R and SQL Experience with Teradata and data lakelakehouse architectures Expertise in machine learning algorithms statistical modeling and data visualization Familiarity with big data technologies eg Hadoop Spark Excellent problemsolving and communication skills Experience with version control systems eg Git Experience with onpremise AIML solutions Knowledge of Explainable AI methods and their practical applications , Title=Data Scientist, ref=6566343

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple projects and meet deadlines in a fast-paced environment. Strong attention to detail and ability to interpret complex data sets. Experience working with IT Services & Consulting firms, focusing on business intelligence and analytics.

Key deliverables : • 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 product development, marketing techniques and business strategies. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Develop custom data models and algorithms to apply to data sets. • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. • Coordinate with different functional teams to implement models and monitor outcomes. • Develop processes and tools to monitor and analyze model performance and data accuracy. • Generate both periodic and ad hoc reports as needed. • Experience in Credit Analyst Educational Qualifications : The candidate should have a Post-Graduate/MBA degree with specialization in any stream; Or a Graduate degree with experience in Data analyst in relevant industry. Experience : An overall experience of 4-7 years in Data Analyst in Finance, Banking, Investment Banking, Fintech, Rating Agency, NBFC industry. If you love working with people and thrive in fast-paced environments, we would like to have a conversation with you. • Excellent written, verbal, and interpersonal skills to communicate effectively. • Go-getter ability to work independently • Leadership team management skills • Attention to detail