111 Statistical Methods Jobs - Page 3

As a Data Analyst at PureSpectrum, you will play a crucial role in conducting product-related analyses, generating reports, and deriving insights. You will operate within the Analytics and Data Science team, reporting directly to the VP Analytics and Data Science in a dynamic and fast-paced environment. The ideal candidate for this position is highly analytical, inquisitive, detail-oriented, and adept at collaborating with global stakeholders, technology partners, and vendors. Your primary responsibilities will include understanding business challenges, formulating and testing hypotheses utilizing appropriate statistical methods, and developing Proof-of-Concept (POC) models. You will be tasked with creating and refining predictive models to construct training datasets, as well as executing end-to-end projects that involve data mining, cleaning, inputting, and transforming from various databases. Collaborating with the engineering team, you will establish pipelines for collecting, storing, and retrieving training datasets. Furthermore, you will work closely with cross-functional teams to prioritize workflows, address data consistency and quality issues, and effectively communicate findings and analyses to technical and non-technical audiences. To qualify for this role, you should possess a Bachelor's degree with a minimum of 3 years of hands-on experience in Data Analysis, or a Master's Degree in Quantitative Economics with at least one year of relevant experience. Proficiency in big data environments like AWS, relational database management systems, and programming languages such as Python, R, and SAS is essential. Previous experience in report and dashboard design, API integrations, and familiarity with databases and BI tools like SQL, mongoDB, QuickSight, Tableau, and Microsoft Power BI will be advantageous. PureSpectrum offers a competitive compensation and benefits package that includes comprehensive health insurance, PF, and a leave policy compliant with statutory requirements. In addition, you will have the opportunity to participate in team events and celebrations, enjoy a casual dress code, and work in a professional yet enjoyable team environment.,

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 must have a solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Your ability to communicate complex data insights to non-technical stakeholders is crucial, including senior management, marketing, and operational teams. You should be meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gathering and cleaning data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns is a key responsibility. Proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn) is a must. Expertise in supervised and unsupervised learning algorithms is also required. You will use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. It would be good to have familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL processes and tools like Apache Airflow to automate data workflows is advantageous. Familiarity with designing scalable and efficient data pipelines and architecture is beneficial. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly is a plus. The ideal candidate should have a 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). In this role, you will collaborate with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. You will leverage your deep understanding of the retail industry to design AI solutions that address critical retail business needs. Applying machine learning algorithms to enhance predictive models and using AI-driven techniques for personalization, demand forecasting, and fraud detection are key responsibilities. Staying updated on the latest trends in data science and retail technology is essential. Collaborating with executives, product managers, and marketing teams to translate insights into business actions is also part of your role. About Our Company | Accenture,

The selected intern will be responsible for the following day-to-day tasks: Data collection and cleaning: You will collect and compile data from various sources, ensuring accuracy and completeness. Additionally, you will perform data cleaning and transformation to prepare it for analysis. Data analysis: You will assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Your role will involve summarizing findings in clear and concise reports. Data visualization: Creating visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders will be part of your responsibilities. You will utilize tools such as Tableau, Power BI, or Excel for visualization purposes. Report generation: You will prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. It will be crucial to ensure that reports are accurate and delivered on time. Data quality assurance: Your role will involve helping maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborating with other team members to establish data quality protocols will also be essential. Collaboration: Working closely with cross-functional teams, including data engineers, business analysts, and stakeholders, will be necessary to understand data requirements and deliver actionable insights. Research and learning: Staying up to date with industry trends and best practices in data analysis will be important. Continuously expanding your knowledge and skills in data analytics techniques and tools will also be encouraged. About Company: BatteryPool is focused on building an affordable and convenient battery charging solution for electric 2 wheelers in India. The company aims to promote the adoption of electric vehicles in India through solutions tailored to the Indian context. The BatteryPool ecosystem is supported by patent-pending hardware and a proprietary IoT layer. The team at BatteryPool is driven by a strong passion for clean energy, automobiles, and technology. Comprising engineers from top engineering schools and premier automobile companies, the team is supported by the Department of Science and Technology and Tata Power/Tata Trusts.,

As an Electrical/Electronics Engineer at Aptiv, you will play a crucial role in designing and developing automotive products focused on Active Safety and User-Experience. Your responsibilities will include handling day-to-day tasks in product manufacturing assistance, ensuring equipment uptime, and maintaining high manufacturing standards by following the principles of good manufacturing practice. You will support the implementation of applicable APTIV Standards in the manufacturing line and perform repeatability and reproducibility studies for product line testers to assess their capabilities. Additionally, you will be responsible for supporting product manufacturing First Pass Yield, reducing rework costs, and ensuring key equipment operational assistance to adhere to the production plan. Your role will involve tracking records, establishing continuous improvement scopes in operations, and showcasing good problem-solving skills in the electronic manufacturing process. You will also play a significant part in supporting internal and external audits through proper record-keeping, spare management, and capability assessment of individual testers, ensuring compliance with internal FIS norms for product labeling and traceability adherence. To be successful in this role, you should have an engineering background in the electronics stream with experience in electronic manufacturing testing. Basic knowledge in handling NI hardware and software (Test Stand, Labview, etc.), statistical methods, and good problem-solving capabilities are essential. An energetic, self-motivated, and proactive work style will help you thrive in this position. With 5 to 8 years of relevant experience, you will have the opportunity to grow and develop at Aptiv, benefiting from an inclusive work environment that values individual growth and development. Safety is a core value at Aptiv, aiming for a safer world with zero fatalities, injuries, and accidents. Additionally, Aptiv provides resources and support to help you take care of your family and physical and mental health through a competitive health insurance package. Join Aptiv today to be a part of a team striving to shape the future of mobility and create a safer world for all. Benefit from higher education opportunities, life and accident insurance, Sodexo cards for food and beverages, a Well-Being Program, EAP Employee Assistance, access to fitness clubs, and a creche facility for working parents. Take the next step in your career and contribute to changing tomorrow with Aptiv. Apply now! Privacy Notice - Active Candidates: [Privacy Notice](https://www.aptiv.com/privacy-notice-active-candidates),

You will be working with Piramal Consumer Healthcare in the Quality Assurance Department located in Zirakpur, Chandigarh. As an experienced professional with 8 to 12 years in Quality Assurance, you will play a crucial role in ensuring that all internal and external processes are meticulously followed to guarantee the quality of our products before reaching customers. Your responsibilities will include inspecting procedures and outputs to identify any mistakes or non-conformity issues. You will collaborate with internal stakeholders such as the QA Team, Supply Chain, Sales & Marketing, R&D, Stakeholder Management Team, Corporate IT Team, and Corporate Compliance IT Team. Additionally, you will engage with external stakeholders including CFAs, Hub, TP Sites, Vendors, and Consumer Care Portal. Reporting directly to the Deputy General Manager QA, you should possess a thorough understanding of quality assurance methodologies and standards. Your key competencies should include maintaining cGMP quality standards, ensuring strict adherence to quality norms, identifying gaps, and implementing corrective actions. Strong numerical, communication skills, data analysis, and statistical methods understanding are essential for this role. Attention to detail and effective stakeholder management are crucial qualities required. The qualifications for this position include a B. Sc. or B. Pharm degree along with an M. Sc. or M. Pharm. Piramal Consumer Products Division, a part of Piramal Pharma Limited, is dedicated to customer-centric solutions and has a rich legacy focused on Knowledge, Action, Care, and Impact. The division serves a wide range of consumer needs in various sectors and operates with a mission of "Doing Well and Doing Good." With a significant presence in the consumer healthcare industry, Piramal CPD aims to be the market leader in the Indian OTC market. As an equal opportunity employer, Piramal Group values merit, qualifications, skills, performance, and achievements in its employment decisions. The company is committed to providing equal opportunities to all applicants and employees in various personnel matters. Join our team at Piramal Consumer Healthcare and contribute to our goal of providing quality products and solutions to millions of consumers across India.,

The ideal candidate for the Band Manager position should hold a qualification in Engineering or MBA in SCM/Operations from a reputed college. With 6 to 8 years of experience in the Manufacturing industry, you will be responsible for various key tasks: - Identifying demand patterns using statistical methods/AIML based tools and adjusting forecasts to accommodate seasonality, promotions, or market events. - Leading and coordinating the Sales and Operations Planning (S&OP) process. - Collaborating with sales, marketing, manufacturing, R&D, and finance teams to gather relevant data and insights. - Monitoring and evaluating key performance indicators (KPIs) related to S&OP, such as forecast accuracy, inventory levels, and customer service levels. - Analyzing and presenting data to support decision-making during S&OP milestones. - Ensuring that sales forecasts and production plans are aligned to avoid overstocking or stockouts. - Identifying potential supply chain bottlenecks and proposing solutions to improve overall efficiency. - Supporting new product launches and phasing out products based on demand trends. - Driving initiatives to facilitate SLOB inventory liquidation and building processes to minimize generation. - Collaborating with the finance team to ensure that the S&OP plans align with financial objectives and budget constraints. - Continuously improving the S&OP process to enhance operational efficiency and customer satisfaction. To apply for this position, please share your CV at tulika@hrpotential.in or contact 9560508928. Kindly mention your current CTC, Notice period, and current location in your application.,

This Job is based in Australia Postdoctoral Researcher (Computational Immunology and Translational AI) Employment Type: Full - time (35 hours a week) Duration: 1-Year Fixed Term contract (with likely extension upon performance) Remuneration: $91k - $121k base (+17% super and leave loading) Location: Kensington, Sydney The UNSW Sydney Systems Immunology and Artificial Intelligence Lab seeks a highly motivated and skilled postdoctoral researcher to join our dynamic team. This role offers an exceptional opportunity to lead computational and bioinformatics analyses of immunogenomics data, contribute to cutting-edge research in precision medicine for autoimmunity, and participate in industry collaborations. Project Focus Develop computational tools for analyzing immunogenomics data in the context of gastrointestinal autoimmune diseases and Type 1 Diabetes. Lead the application of AI and machine learning to identify novel therapeutic targets and advance precision medicine approaches. Foster collaborations with national and international partners at Weill Cornell, Upenn, Houston Methodist, and various hospitals. Skills And Experience Required PhD in Bioinformatics, Data Science, Immunology, or a related field. Strong expertise in data analysis, bioinformatics pipelines, and statistical methods. Experience with single-cell multi-omics, AI, and immune-genomics is highly desirable. A passion for immunology and a keen interest in translating research into clinical applications. Excellent problem-solving, communication, and teamwork skills. Initiative, leadership potential, and a willingness to tackle challenging projects. What We Offer Conduct research at the forefront of AI-driven precision medicine for autoimmunity. Gain valuable experience in industry collaborations and translational research. Potential to co-found a start-up focused on AI-powered drug discovery. Publish in high-impact journals and develop a strong research profile. Opportunity to learn and upskill in machine learning and translational immunology. Collaborative and supportive work environment at a world-class university. UNSW Benefits And Culture Full details can be found in the position description. UNSW offer a competitive salary and access to a plethora of UNSW-perks including: 17% Superannuation and leave loading Flexible working Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Progressive HR practices More information on the great staff benefits and culture can be found here. Application Process We encourage applications from enthusiastic and talented early-career researchers. Please click on Apply now to apply online. Please send your CV and a cover letter outlining your research interests and experience. A copy of the Position Descriptions can be found on JOBS@UNSW. Contact Dr. Fabio Luciani, E: [HIDDEN TEXT] Additional Resources Professor Fabio Luciani profile The Luciani Lab website Professor Luciani&aposs LinkedIn profile Applications close: Sunday 24th August 2025 before 11.30pm Sydney time. UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment. Show more Show less

This Job is based in Australia Postdoctoral Researcher (Computational Immunology and Translational AI) Employment Type: Full - time (35 hours a week) Duration: 1-Year Fixed Term contract (with likely extension upon performance) Remuneration: $91k - $121k base (+17% super and leave loading) Location: Kensington, Sydney The UNSW Sydney Systems Immunology and Artificial Intelligence Lab seeks a highly motivated and skilled postdoctoral researcher to join our dynamic team. This role offers an exceptional opportunity to lead computational and bioinformatics analyses of immunogenomics data, contribute to cutting-edge research in precision medicine for autoimmunity, and participate in industry collaborations. Project Focus Develop computational tools for analyzing immunogenomics data in the context of gastrointestinal autoimmune diseases and Type 1 Diabetes. Lead the application of AI and machine learning to identify novel therapeutic targets and advance precision medicine approaches. Foster collaborations with national and international partners at Weill Cornell, Upenn, Houston Methodist, and various hospitals. Skills And Experience Required PhD in Bioinformatics, Data Science, Immunology, or a related field. Strong expertise in data analysis, bioinformatics pipelines, and statistical methods. Experience with single-cell multi-omics, AI, and immune-genomics is highly desirable. A passion for immunology and a keen interest in translating research into clinical applications. Excellent problem-solving, communication, and teamwork skills. Initiative, leadership potential, and a willingness to tackle challenging projects. What We Offer Conduct research at the forefront of AI-driven precision medicine for autoimmunity. Gain valuable experience in industry collaborations and translational research. Potential to co-found a start-up focused on AI-powered drug discovery. Publish in high-impact journals and develop a strong research profile. Opportunity to learn and upskill in machine learning and translational immunology. Collaborative and supportive work environment at a world-class university. UNSW Benefits And Culture Full details can be found in the position description. UNSW offer a competitive salary and access to a plethora of UNSW-perks including: 17% Superannuation and leave loading Flexible working Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Progressive HR practices More information on the great staff benefits and culture can be found here. Application Process We encourage applications from enthusiastic and talented early-career researchers. Please click on Apply now to apply online. Please send your CV and a cover letter outlining your research interests and experience. A copy of the Position Descriptions can be found on JOBS@UNSW. Contact Dr. Fabio Luciani, E: [HIDDEN TEXT] Additional Resources Professor Fabio Luciani profile The Luciani Lab website Professor Luciani&aposs LinkedIn profile Applications close: Sunday 24th August 2025 before 11.30pm Sydney time. UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment. Show more Show less

The ideal candidate for this role should hold an MBA (full time) from esteemed institutions such as NITIE & IIMs, along with a B Tech (Full time) degree. With a minimum of 4-8 years of experience in Demand & Supply planning, you will be tasked with identifying demand patterns utilizing statistical methods and AIML based tools, and making necessary adjustments to forecasts. Additionally, experience in new process or system implementation would be beneficial for this position.,

Goldman Sachs Strats is a world leader in developing quantitative models and technologies to solve complex business problems across various divisions such as trading, sales, banking, and asset management. As an Investment Banking Strat, you will utilize your mathematical and scientific training to create financial products, advise clients on transactions, measure risk, and identify market opportunities. You will be involved in marketing, structuring, pricing, and executing transactions for large corporations and institutions in the capital markets and M&A. As part of the Investment Banking M&A Quant Advisory team in Bengaluru, you will work on solving business problems using large and complex financial datasets, collaborating with Investment Bankers in different industries and regions. You will develop innovative client analytics for M&A deals, utilize machine learning and big data analysis tools, and create proprietary targeting solutions. Key Responsibilities: - Develop quantitative and analytical methods for targeting new transaction opportunities. - Provide solutions for internal and external clients, covering deal performance analysis, competitor analysis, and deal execution strategy. - Create tools to make data and analytics accessible to internal users. - Program in Python or other languages using machine learning and statistical methods. - Curate datasets from multiple vendors to serve analytics and business purposes. - Generate reports, analyses, and alerts for internal management, business monitoring, risk management, and opportunity targeting. Basic Qualifications & Skills: - Bachelors or advanced degree in a quantitative/STEM discipline. - 2+ years of quantitative modeling and development experience. - Strong analytical and problem-solving abilities. - Proficient in Python and data querying languages like SQL and MongoDB. - Excellent oral and written communication skills. - Strong interest in finance, investment banking, and capital markets. - Results-oriented work ethic and ability to work in a team. Preferred Qualifications: - Experience in M&A and/or Capital Markets. Goldman Sachs is committed to fostering diversity and inclusion in the workplace, providing growth opportunities for individuals, and offering various benefits and programs. If you require accommodations during the recruiting process, please learn more about our disability statement on our website. Join us at Goldman Sachs to be part of a leading global investment banking firm dedicated to client success and professional development.,

As an HR Analyst (Data Analysis and Data Visualization) at Omnicom Global Solutions, you will be responsible for collecting and consolidating data from multiple platforms. Your role will involve creating visually appealing and informative dashboards, reports, and presentations to effectively communicate key findings to stakeholders. Omnicom Global Solutions is a crucial part of Omnicom Group, a global marketing and corporate communications company with networks and specialty firms providing services to clients in over 70 countries. In India, we offer stellar products and solutions in various areas including Creative Services, Technology, Marketing Science, Advanced Analytics, Market Research, and more. In this role, you will collect and consolidate data from platforms like Culture Amp, One Learning, Open Door, and Greenhouse to analyze trends related to employee engagement and satisfaction. You will use statistical methods and data analysis tools to derive insights, perform predictive analytics, and create visually appealing reports using tools like Tableau and Power BI. To excel in this role, you should have at least 3 years of experience in data analysis, preferably within HR or Employee Experience. Join us in our journey of growth and innovation as we work together to enhance employee engagement and experience.,

Join Amgen's Mission of Serving Patients At Amgen, you will be part of something bigger, driven by our shared mission to serve patients living with serious illnesses. Since 1980, Amgen has been a pioneer in the world of biotech, focusing on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease, reaching millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that help people live longer, fuller, and happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you are passionate about challenges and the opportunities they present, you will thrive as part of the Amgen team. Join us to make a lasting impact on patients" lives and transform your career. Data Scientist (US Value & Access Insights) In this vital role at Amgen, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: - Ensuring that models are trained with the latest data and meet SLA expectations - Acting as a subject matter expert in solving development and commercial questions - Collaborating with a global cross-functional team on the AI tools roadmap - Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics - Utilizing technical skills such as hypothesis testing, machine learning, and retrieval processes for statistical and data mining techniques - Performing exploratory and targeted data analyses using descriptive statistics and other methods - Collaborating with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights - Developing and integrating custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency What We Expect Of You Basic Qualifications: - Masters degree with 1 to 3 years of computer science, statistics, or STEM majors with at least 1 year of Information Systems experience - Bachelors degree with 3 to 5 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Diploma with 7 to 9 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Experience with analytic software tools or languages like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Preferred Qualifications: - Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) - Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) - Outstanding analytical and problem-solving skills, ability to learn quickly, excellent communication and interpersonal skills - Experience with data engineering, pipeline development, NLP techniques for text analysis, sentiment analysis, time-series data analysis, forecasting, trend analysis, AWS, Azure, Google Cloud, Databricks platform for data analytics, and MLOps Professional Certifications: - Any AWS Developer certification (preferred) - Any Python and ML certification (preferred) Soft Skills: - Initiative to explore alternate technology and approaches to problem-solving - Skilled in breaking down problems, documenting problem statements, and estimating efforts - Excellent analytical and troubleshooting skills - Strong verbal and written communication skills - Ability to work effectively with global, virtual teams - High degree of initiative and self-motivation - Ability to manage multiple priorities successfully - Team-oriented, with a focus on achieving team goals What You Can Expect Of Us At Amgen, we support your professional and personal growth and well-being as we develop treatments to take care of others. We offer competitive benefits and a collaborative culture to support your journey every step of the way. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com. As an organization dedicated to improving the quality of life globally, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and live by Amgen values to advance science in serving patients. We ensure individuals with disabilities are provided reasonable accommodation throughout the job application process. Contact us to request accommodation.,

As a Data Analyst, your primary responsibility will be to gather relevant data from multiple sources, including internal databases, financial systems, and external research materials. It will be crucial for you to ensure the accuracy and integrity of the collected data. You will utilize statistical methods, data analysis tools, and research software to identify trends, patterns, and insights within the data. This may involve analyzing historical data, forecasting performance, and building models to support decision-making processes. Conducting thorough research on market trends, customer behavior, competitor activities, and industry developments will be an essential part of your role. By doing so, you will be able to identify opportunities and potential challenges that may impact the organization. Your responsibilities will also include preparing comprehensive reports and presentations that clearly communicate your findings, actionable recommendations, and insights to stakeholders, including management and other departments. Effective communication through reports and presentations is key to ensuring that your insights are understood and acted upon. Collaboration with cross-functional teams, such as marketing, finance, and product development, will be necessary to understand analytical needs and provide data-driven recommendations. Working closely with different departments will allow you to tailor your analyses to meet the specific requirements of each team. You will also be responsible for creating visualizations, such as charts and graphs, to effectively communicate complex data and research findings. Visual representations of data can help stakeholders grasp the insights more easily and make informed decisions based on the information presented. Please note that the age limit for this position is between 20 to 30 years. This is a full-time, permanent job opportunity suitable for freshers. The work location for this role is in person, requiring your presence at the designated office location.,

As a Specialist, Technical Business Analysis at Fiserv, you will be consulting with project teams and functional units to design important projects or services. You will provide support for existing business systems applications, demonstrating proficiency and leadership skills. Your role will involve efficiently balancing and prioritizing project work, utilizing data to offer insights and actionable recommendations that inform decision-making and strategy development. In this position, your expertise in data analysis, machine learning, and statistical modeling will be crucial. You will uncover insights and develop predictive models to enhance fraud rules. Collaborating with cross-functional teams, you will analyze large volumes of transactional data, identify patterns of fraudulent behavior, and enhance monitoring systems continuously. Effective communication is key, as you will interface with clients, vendors, and business partners periodically. To excel in this role, you will need a Bachelor's degree in Computer Science or Engineering, or relevant work experience. A background in IT development is required, along with a minimum of 5 years of experience in fraud analysis, investigations, or a related field - preferably in financial services or e-commerce. Proficiency in programming languages like Python or R for data analysis and model development, as well as familiarity with SQL for querying and managing relational databases, is essential. Sound knowledge of statistical methods and techniques, including regression analysis, clustering, time series analysis, and classification, is also necessary. Strong analytical skills are a must, enabling you to derive insights from complex datasets. Your ability to effectively communicate technical findings to non-technical stakeholders, work collaboratively in a fast-paced team environment, and present recommendations clearly is critical. Additionally, being self-motivated, proactive, and capable of working both independently and collaboratively is essential for success in this role. It would be advantageous to have knowledge and experience with JIRA, Service Point, and Confluence products. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) and data manipulation libraries (e.g., Pandas, NumPy) would also be beneficial. Thank you for considering employment with Fiserv. To apply, use your legal name and complete the step-by-step profile, attaching your resume. Fiserv is committed to Diversity and Inclusion, and does not accept resume submissions from agencies outside of existing agreements. Be cautious of fraudulent job postings not affiliated with Fiserv, and ensure that communications from Fiserv representatives come from legitimate email addresses.,

You are seeking a results-driven Quality Control (QC) Lead with a strong background in developing both manual and automated testing protocols to ensure the highest quality of software products. You excel at estimating, planning, and coordinating comprehensive testing activities, as well as identifying, documenting, tracking, and efficiently resolving quality issues and defects. Your role involves participating in Sprint planning and product-grooming meetings to understand, analyze, and influence the application/service/system to be tested. As a QC Lead, you will be responsible for identifying risks, determining appropriate test coverage, and developing test plans and cases for new features and regression testing. You will play a key role in enhancing efficiency by implementing systems and processes to automate testing where possible. Your attention to detail, observation, organizational, and leadership skills will be crucial in analyzing and resolving issues found during testing. Additionally, you will promote a collaborative spirit across teams and individuals, working closely with Development and Product Management teams to diagnose and address any issues. Your technical and IT skills, along with your ability to manage Scrum Meetings, Client Meetings, and a team of QA engineers, will be essential in leading standup meetings with the QA team. Your qualifications include: - 7+ years of QA experience with test plan execution - 3+ years of Team Lead experience - Knowledge of script programming - Strong understanding of software development life cycle and methodologies - Proficiency in manual and automated software testing - Experience with test automation tools and frameworks - Problem-solving skills and attention to detail - Excellent communication and collaboration abilities - Adaptability in a fast-paced environment - Familiarity with tools like Jira, bug tracking, release planning, and coding skills - Expertise in writing clear and comprehensive test plans and cases - Hands-on experience in building automated regression testing capabilities - Passion for process automation and software quality - In-depth knowledge of quality control procedures and legal standards - Strong background in mathematics, data analysis, and statistical methods - Experience in ERP or HRMS is an added advantage Qualifications required for this role: - Bachelor's degree in Computer Science, Engineering, or a related field Join us at Masthead Technologies, a Product & Service based company, known for providing bespoke development services to the tech community since 2015. Our work culture emphasizes Communication, Creativity, and Collaboration, where every employee is valued for their contribution to bringing client ideas to life. If you are a team player, independent thinker, and self-learner who is passionate about software quality and automation, we look forward to hearing from you. For more information, visit our website: www.mastheadtechnologies.com.,

The ideal candidate for this role should possess an MBA (full time) and B Tech (full time) degree along with 5-8 years of experience in Demand Planning. Your primary responsibilities will include identifying demand patterns using statistical methods and AIML based tools, as well as adjusting forecasts accordingly. Additionally, you will be leading and coordinating the Sales and Operations Planning (S&OP) process. In this position, you will play a crucial role in maintaining a well-functioning supply chain, meeting customer demands, and optimizing inventory levels and operational costs.,

As a Process Development Chemist, you will be responsible for designing and conducting experiments to create new chemical processes and enhance existing ones. You will scale up laboratory procedures to pilot and production levels, ensuring scalability and reproducibility. Analyzing current processes, identifying areas for enhancement, and implementing modifications to boost efficiency, yield, and safety will be a key aspect of your role. Utilizing statistical methods and tools to assess process performance will be crucial. You will collaborate closely with cross-functional teams, such as R&D, quality assurance, production, and regulatory affairs, to seamlessly integrate processes. Providing technical support and expertise to production teams will be essential. Additionally, you will prepare detailed documentation for processes, including protocols, reports, and standard operating procedures (SOPs), while ensuring compliance with safety, environmental, and quality standards. In the event of issues during production, you will investigate and resolve them promptly to minimize downtime. Conducting root cause analysis and implementing corrective actions will be part of your troubleshooting responsibilities. Staying updated on the latest advancements in chemical processes and technologies, and evaluating and recommending the use of new tools and technologies to enhance process performance will be vital for research and development. To qualify for this role, you should hold a Bachelors or Masters degree in Chemistry, Chemical Engineering, or a related field, along with years of experience in chemical process development or a related area. A strong understanding of chemical reactions, kinetics, thermodynamics, and safety regulations is required. Proficiency in analytical techniques such as HPLC, GC, NMR, and others relevant to process chemistry is essential. Excellent problem-solving skills, attention to detail, and strong communication and teamwork abilities are desired qualities. This is a full-time, permanent position with benefits such as provided food, paid sick time, and Provident Fund. The work schedule may involve day shifts or rotational shifts, with the work location being in person.,

The Bioinformatics Scientist position requires a candidate with expertise in single-cell transcriptomics and multi-omics analysis to develop AI-driven solutions using Elucidatas platform. As a Bioinformatics Scientist, you will be responsible for utilizing your knowledge of biology and computational methods to analyze omics data, extract valuable insights, and assist clients in solving complex biological challenges. This role is suitable for individuals who excel at the convergence of biology, data science, and client engagement, possessing strong communication abilities and a dedication to advancing life science research through data. Your primary responsibilities will include interpreting biological problem statements and multi-omics data to create compelling scientific presentations and scalable solutions. You will be expected to analyze various biological data types (genomics, transcriptomics, proteomics, metabolomics) using advanced statistical techniques, with a specific emphasis on single-cell transcriptomics. Additionally, you will play a key role in innovating and enhancing tools, pipelines, and algorithms for multi-omics data analysis and visualization. Collaborating with a diverse team of ML specialists, data scientists, and bioinformatics engineers, you will translate customer needs into innovative solutions while working closely with technical owners and solution managers to drive account growth and maintain customer relationships. The ideal candidate should hold a PhD or Master's degree in Bioinformatics, Computational Biology, Biotechnology, or a related technical field, with proven experience in processing and analyzing multi-omics data, particularly single-cell transcriptomics data. Proficiency in programming languages like Python or R is essential, along with practical experience in applying computational algorithms and statistical methods to large and varied data sets. A successful track record of collaboration and individual work, coupled with excellent communication and presentation skills, are also crucial for this role. Desirable qualifications for this position include familiarity with cloud technologies and scalable computing platforms, as well as experience in AI/ML applications for biomedical data analysis and prior involvement in customer collaboration and project delivery.,

As a Senior Machine Learning Engineer at TrueFan, you will be at the forefront of AI-driven content generation, leveraging cutting-edge generative models to build next-generation products. Your mission will be to redefine the content generation space through advanced AI technologies, including deep generative models, text-to-video, image-to-video, and lipsync generation. Your responsibilities will include designing, developing, and deploying cutting-edge models for end-to-end content generation. This will involve working on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. You will research and develop state-of-the-art generative models such as Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. Additionally, you will build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. Furthermore, you will be responsible for developing advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Your role will also involve implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. Collaboration with software engineers to deploy models efficiently on cloud-based architectures will be a key aspect of your work. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with 3+ years of experience working with deep generative models like Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks such as PyTorch is essential. Strong problem-solving abilities, a research-oriented mindset, and familiarity with generative adversarial techniques are also required. Preferred qualifications include experience with transformers and vision-language models, background in text-to-video generation and lipsync generation, expertise in cloud-based AI pipelines, and contributions to open-source projects or published research in AI-generated content. If you are passionate about AI-driven content generation and have a strong background in generative AI, this is the perfect opportunity for you to drive research and development in AI-generated content and real-time media synthesis at TrueFan.,

As a Team Member - Credit Risk Analyst in the Risk Management department based in Mumbai, your main responsibility will be to analyze, model, validate, and document various measures of Credit Risk for Expected Credit Loss and Capital computations. You should have hands-on experience in building, implementing, monitoring, and refining models and scorecards for PD, LGD, EAD, and related Credit Risk metrics using statistical methods or expert judgment based techniques. Your role will require a deep understanding of Credit Risk models and the ability to derive insights from data, communicate effectively with Risk, Credit, and Business teams, and develop Risk Dashboards and analytical reports for Senior Management. You will also be responsible for preparing and submitting reports to regulators and senior management on a periodic and adhoc basis, computing and reporting ECL and related metrics continuously. To excel in this role, you should have 4 to 8 years of experience in Credit Risk related roles in Banks, NBFCs, Consulting Firms, or Rating Agencies. A degree in statistics, mathematics, or econometrics with hands-on experience in statistical model development and implementation would be an advantage. Proficiency in Python, SAS, or R, along with intermediate level SQL skills, is desirable. Strong experience in areas like delinquency or loan loss forecasting and expected credit loss capital computation under advanced approaches is also necessary. Moreover, having skills in automation and data consolidation for risk or financial reporting projects would be beneficial. CA or MBA with FRM certification, understanding of various credit types, proven management and supervisory skills, excellent interpersonal and communication skills, and advanced excel skills are also required for this role. Experience with Python, SQL, or SAS would be an added advantage.,

As a Quality Control (QC) Lead at Masthead Technologies, you will play a crucial role in ensuring the highest quality of software products through the development of both manual and automated testing protocols. Your extensive experience will enable you to identify, document, track, and efficiently resolve quality issues and defects. You will be responsible for estimating, planning, and coordinating comprehensive testing activities to validate new features, regression, and develop test plans and cases. Your key responsibilities will include identifying risks and appropriate test coverage, developing systems and processes to increase efficiency, and identifying areas suitable for automation. You will actively participate in Sprint planning and product-grooming meetings to understand, analyze, and influence the application/service/system to be tested. Your strong attention to detail, observation, organizational, and leadership skills will be essential in promoting a spirit of collaboration across teams and individuals. You will be expected to analyze and identify issues found during testing, collaborating with Development and Product Management teams to diagnose and resolve them effectively. Understanding the business aspects and customer usage of the system will be crucial in ensuring the system performs as intended. Your technical and IT skills will be put to use as you manage Scrum Meetings, Client Meetings, and a team of QA engineers. Leading standup meetings with the QA team will be part of your regular responsibilities. To excel in this role, you should possess 7+ years of QA experience, including writing and executing test plans, as well as 3+ years of Team Lead experience. Knowledge of script programming, a strong understanding of software development life cycle (SDLC) and methodologies (Agile, Scrum, etc.), and proven experience in both manual and automated software testing are required. Proficiency in test automation tools and frameworks, excellent problem-solving skills, and attention to detail are essential qualities. Your ability to communicate effectively, collaborate with others, thrive in a fast-paced environment, and utilize tools like Jira for bug tracking and release planning will be key to your success. Experience in writing clear, concise, and comprehensive test plans and test cases, building automated regression testing capabilities, and knowledge of quality control procedures and legal standards are highly valued. Passion for process automation, software quality, and familiarity with ERP or HRMS will be advantageous. Qualifications: - Bachelors degree in Computer Science, Engineering, or related field Join us at Masthead Technologies, where we prioritize communication, creativity, and collaboration in a dynamic work culture. We are committed to investing in talented individuals who can contribute to our goals and grow with the organization. Explore more about us at www.mastheadtechnologies.com and be a part of our innovative team.,

We are seeking a meticulous and analytical Financial Data Analyst to join our finance team. As a Financial Data Analyst, you will be responsible for managing and analyzing large datasets to provide crucial financial insights and support strategic decision-making. The ideal candidate will excel in handling and analyzing large datasets, utilizing their financial expertise to drive insights and facilitate strategic decisions. Your role will be vital in ensuring data integrity, implementing best practices, and offering actionable recommendations to aid our company in achieving its financial objectives. To qualify for this position, you should possess a Bachelor's degree in Finance, Accounting, Data Science, Statistics, Computer Science, or a related field. An advanced degree or relevant certifications such as CFA or CPA would be advantageous. Additionally, a minimum of 5 years of experience in data management, financial analysis, or a related role is required, with proven expertise in managing large datasets and financial modeling. The role demands proficiency in data management tools like SQL, ETL processes, and data warehousing, along with advanced knowledge of financial software and systems such as ERP and BI tools like Tableau and Power BI. Strong skills in data analysis and statistical methods are essential, as well as excellent problem-solving abilities to interpret complex data and make informed decisions. Effective communication skills, both verbal and written, are crucial for presenting complex information clearly and concisely. Attention to detail is paramount, ensuring a high level of accuracy in data analysis and financial reporting. In this position, your key responsibilities will include managing and analyzing large financial datasets, developing and maintaining financial models, analyzing financial data to identify trends, patterns, and anomalies, and providing actionable insights to stakeholders. You will apply financial acumen to analyze complex datasets, create and maintain dashboards and visualizations, prepare detailed financial reports, forecasts, and budgets, and collaborate with finance and accounting teams to ensure data consistency and alignment with financial goals. Furthermore, you will be responsible for creating and maintaining comprehensive documentation of data processes, analysis methodologies, and financial models, collaborating with cross-functional teams to understand data needs, providing data-driven recommendations to support business strategies, identifying opportunities for process improvements, and automating tasks to enhance data management and analysis efficiency. Join us for exciting projects in industries like High-Tech, communication, media, healthcare, retail, and telecom. Enjoy a collaborative environment where you can expand your skills and maintain a healthy work-life balance with flexible schedules and opportunities for professional development. We offer competitive salaries, various benefits, and fun perks to create a vibrant and rewarding workplace. Come be a part of GlobalLogic, a leader in digital engineering, and help build innovative products and digital experiences for global brands across diverse industries.,

As a Market Analyst, you will play a crucial role in supporting business growth by providing insightful market and competitive analysis. Your primary responsibilities will include conducting in-depth market research, analyzing industry developments, monitoring competitor activities, and gathering data on customer needs and product performance. You will collaborate with cross-functional teams to offer data-driven recommendations and support strategic decision-making. Additionally, you will be expected to develop market forecasts, possess strong analytical skills, and have proficiency in data analysis tools and software. To qualify for this position, you should hold a Bachelor's degree in Marketing, Economics, Business Analytics, or a related field, with a Master's degree considered a plus. You must have 3-5 years of experience in market research or business analysis, particularly in international markets such as Europe, UK, USA, and/or Gulf regions. Strong analytical and critical thinking skills, proficiency in data analysis tools, excellent research abilities, and effective communication skills are essential for this role. Knowledge of statistical methods, data modeling, and experience with CRM and market intelligence platforms will be advantageous. Additionally, the ability to work independently, manage multiple projects, and multilingual abilities will be beneficial in this position.,

You will join our dynamic team as a highly skilled Data Scientist, where you will be tasked with analyzing large datasets, developing predictive models, and offering actionable insights to facilitate informed business decisions. Your responsibilities will include collecting, processing, and analyzing extensive datasets to extract valuable insights. Furthermore, you will be developing and deploying predictive models and machine learning algorithms. Collaboration with cross-functional teams to identify business opportunities and promote data-driven decision-making will be a crucial aspect of your role. Moreover, you will be responsible for creating data visualizations and reports to effectively communicate your findings to stakeholders. It will be expected of you to continually enhance data collection and analysis processes. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Demonstrable experience as a Data Scientist or in a similar capacity is essential. Proficiency in statistical methods and machine learning techniques is required, as well as expertise in programming languages like Python, R, or SQL. Strong analytical and problem-solving skills will be key to excelling in this role.,

As a Senior Machine Learning Engineer, you will have the exciting opportunity to be involved in designing, developing, and deploying cutting-edge models for end-to-end content generation. This includes working on AI-driven image/video generation, lip syncing, and multimodal AI systems. You will be at the forefront of the latest advancements in deep generative modeling, striving to create highly realistic and controllable AI-generated media. Your responsibilities will encompass researching and developing state-of-the-art generative models like Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. You will focus on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing. Additionally, you will be tasked with developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques will also be part of your role. Collaboration with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure) will be crucial. Staying updated with the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality will be an essential aspect of the role. Furthermore, designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, as well as refining model architectures will be expected. Active participation in code reviews, improving model efficiency, and documenting research findings to enhance team knowledge-sharing and product development will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. You should have a minimum of 3 years of experience working with deep generative models, such as Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks like PyTorch is essential. Expertise in multi-modal AI, text-to-image, and image-to-video generation, as well as audio to lip sync, is required. A strong understanding of machine learning principles and statistical methods is necessary. It would be beneficial to have experience in real-time inference optimization, cloud deployment, and distributed training. Strong problem-solving abilities and a research-oriented mindset to stay updated with the latest AI advancements are qualities that would be valued. Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training will also be beneficial. Preferred qualifications include experience with transformers and vision-language models (e.g., CLIP, BLIP, GPT-4V), a background in text-to-video generation, lip-sync generation, and real-time synthetic media applications, as well as experience in cloud-based AI pipelines (AWS, Google Cloud, or Azure) and model compression techniques (quantization, pruning, distillation). Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis would be advantageous.,