529 Statistical Analysis Jobs - Page 8

As a Senior Database Administrator at Ideapoke, you will play a crucial role in ensuring the performance, integrity, and security of our information systems databases. Your responsibilities will include providing database design, development, and maintenance services, working on challenging problems in a fast-paced production environment, and managing production databases to support the development teams effectively. You will be responsible for database capacity planning, performance tuning, and system optimization. Additionally, you will participate in off-hours and weekend maintenance activities as required, monitor and improve database system performance and uptime, and assist developers with query tuning and schema refinement. Creating and maintaining up-to-date documentation of systems and processes, preparing statistical information for internal and external use, and providing technical mentorship to team members are also key aspects of your role. To excel in this position, you should have a B.E/B.Tech/MCA in computer science or a related field, along with at least 5 years of experience in database administration or a related field. Possessing MCSE/MCSA certifications and experience with database technologies such as MySQL, MS SQL, PostgreSQL, Oracle, and MongoDB is preferred. Familiarity with Linux and Windows Server environments, cloud services like AWS/Microsoft Azure, and programming languages including PL/SQL is essential. Experience with Oracle RAC, SQL Server, or MySQL, as well as a good understanding of data and schema standards, database design, troubleshooting, and maintenance, are also valuable assets. Moreover, you should demonstrate expertise in SQL, possess big data knowledge as an added advantage, exhibit a sense of ownership and pride in your work, and showcase critical thinking, problem-solving, time-management, interpersonal, and communication skills. Join Ideapoke and become an integral part of our journey towards innovation and success.,

As a Prompt Engineer specializing in Artificial Intelligence (ACE) within the Digital Enterprise (DE) division at our Gurgaon office, you will play a crucial role in creating, testing, and optimizing text prompts that guide AI models. With a Bachelor of Technology (B.Tech) degree or equivalent and 3-7 years of relevant work experience, you will collaborate with various teams to ensure prompt accuracy, engagement, and alignment with company objectives and user requirements. Your responsibilities will include collaborating with content, product, and data teams to enhance prompt quality, working closely with product teams and data scientists, and providing insights to improve marketing campaigns, pricing strategies, and resource allocation. You will monitor prompt quality and performance, identify areas for enhancement in prompt generation processes, and implement improvements to boost the overall effectiveness of the AI system. Your ability to take complete ownership of assigned projects and experience in Agile environments will be key assets in this role. To excel in this position, you should possess strong analytical skills to analyze complex data related to prompts, knowledge of market dynamics, consumer behavior, and product research, and proficiency in using spreadsheets, databases, MS Office, and financial software applications. Familiarity with statistical technologies such as MATLAB and Python, hands-on experience in statistical analysis, and excellent presentation, reporting, and communication skills are essential. Your capability to convey complex financial insights clearly, along with exceptional communication and collaboration skills, will be crucial for success in this role. If you are looking to join a dynamic team where you can leverage your expertise in artificial intelligence, collaborate with cross-functional teams, and contribute to the optimization of AI models and prompt quality, this role as a Prompt Engineer in the GenAI & AI COE department is the perfect opportunity for you.,

As an AI/ML Solutions Engineer at OptimumBrew in Surat, India, you will be joining a team of smart, passionate, and experienced individuals who are dedicated to building scalable and secure functionality on top of our technology platform. Your role will involve working with a qualified pool of professionals, sharing your experience, and continuously growing your capabilities. Your primary objective will be to rapidly implement state-of-the-art AI and Machine Learning models to enhance graphic design and marketing solutions. This will involve tasks such as model selection, data preparation, algorithm tuning, system integration, testing, performance monitoring, and documentation of the development process and algorithms used. To excel in this role, you should possess technical skills in Python programming, machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn, data manipulation using tools like Pandas or SQL, software development, API integration, cloud computing platforms like AWS, data visualization, statistical analysis, teamwork, communication, and a strong willingness to continuously learn and stay updated with advancements in AI and machine learning. Key expertise in Python, AI and machine learning frameworks, RESTful APIs, and AWS will be crucial for success in this role. A bachelor's degree in Computer Science or Computer Engineering, along with 1 to 5 years of experience in a technological role, will be required qualifications. In return, we offer a range of benefits including 22 paid leaves, a 5-day working week, a good company culture, health insurance, life insurance, pension scheme, statutory benefits like PF & ESIC, timely salary, yearly picnic, annual sports day, monthly events, and festival celebrations. If you are ready to join our team and contribute to building innovative AI and Machine Learning solutions, please reach out to the recruiter at +91 7984453687.,

We are seeking a Statistician to join our team and enhance our organization's competitive edge through data analysis and the application of mathematical insights for strategic decision-making. As a Statistician, your responsibilities will include collecting numerical data, conducting statistical analyses, and generating industry reports. Your role will involve collaborating with various departments to evaluate industry trends and pinpoint opportunities for process enhancements. This position is open to individuals within the age range of 18 to 30, with a preference for candidates fluent in Tamil. Freshers and college students are highly encouraged to apply. Job Types: Full-time, Part-time, Fresher Expected hours: 40 per week Benefits: - Health insurance - Provident Fund Schedule: - Day shift - Rotational shift Additional perks: - Performance bonus - Yearly bonus Work Location: On-site Join us and be part of a dynamic team where your statistical expertise will play a vital role in shaping our organizational strategies and driving continuous improvement.,

The AI and Predictive Analytics Specialist plays a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. This role is essential for organizations looking to leverage big data to make informed decisions, improve operational efficiency, and gain a competitive advantage. You will work closely with various departments to understand their analytical needs and develop predictive models that drive strategic initiatives. In this dynamic position, you will be responsible for interpreting complex data sets, identifying trends, and sharing results with stakeholders through compelling visualizations and reports. Understanding business processes and having the ability to communicate technical concepts to non-technical stakeholders are paramount for success in this role. By effectively utilizing data mining and statistical techniques, you will contribute significantly to the organization's overall data-driven strategy and foster a culture of continuous improvement through data insights. Collaborate with cross-functional teams to understand the data analytics needs, design and implement predictive models to drive business solutions, analyze large datasets to discover patterns and trends, create data visualizations to communicate findings effectively to stakeholders, evaluate model performance and refine algorithms to enhance accuracy, utilize statistical methods to validate results and assumptions, assist in the development and maintenance of analytics tools and frameworks, prepare detailed reports and documentation of analyses performed, stay updated with the latest advancements in AI and analytics technologies, train team members on data analytics best practices and tools, facilitate workshops to promote data-driven decision-making, manage multiple projects simultaneously while meeting deadlines, work closely with IT teams to ensure data integrity and security, identify, analyze, and interpret trends in complex data sets, support strategic initiatives through data-driven recommendations. Required Qualifications: - Masters degree in Data Science, Computer Science, Statistics, or related field. - Proven experience in predictive analytics and machine learning. - Strong proficiency in programming languages such as Python or R. - Experience with data visualization tools like Tableau or Power BI. - Solid understanding of statistical analysis and methodologies. - Hands-on experience with SQL and database management. - Excellent problem-solving and critical-thinking skills. - Strong project management abilities with attention to detail. - Ability to work collaboratively in a team environment. - Effective communication skills for presenting technical concepts. - Experience with big data technologies (Hadoop, Spark) is a plus. - Demonstrated ability to adapt to changing priorities and manage multiple projects. - Familiarity with data cleaning and preprocessing techniques. - Understanding of business processes for contextual application of analytics. - Previous experience in a similar role preferred. - Professional certifications in data analytics or related fields are a plus. Skills: data visualization, problem-solving, Python, communication skills, statistical analysis, machine learning, predictive analytics, AI/ML, data mining, data analysis, R, big data technologies, team collaboration, predictive modeling, SQL, project management.,

As a R&D Engineer specializing in Product Development for Bushings within the Transformers Business at Hitachi Energy, your role will involve conceptualizing new ideas, fabricating prototypes, sampling materials and processes, providing technical support, and implementing design and process FMEA. Your primary responsibility is to generate novel product ideas, identify challenges, and work collaboratively with various teams to ensure optimal product performance and cost competitiveness. Hitachi Energy's Transformers Business Unit is dedicated to leveraging innovative technology to transform energy and create social, environmental, and economic value for a sustainable energy future. With a comprehensive portfolio that includes power transformers, insulation components, digital sensors, and transformer services, Hitachi Energy plays a critical role in various sectors such as power generation, transmission, distribution, metals and mining, oil and gas, commercial projects, and mobility. The ideal candidate for this role should thrive in a dynamic and fast-paced business environment, possess excellent communication skills, and be able to work effectively with diverse groups and cultures. Multitasking ability, meeting deadlines, and a commitment to innovation and sustainability are essential traits for success in this position. Your qualifications should include a Bachelor's degree in electrical or mechanical engineering, along with at least 5 years of experience in product engineering, quality, or testing. Knowledge of bushing manufacturing, production processes, and assembly instructions is crucial, as well as familiarity with global standards for routine and type testing requirements. Proficiency in both spoken and written English is necessary for effective communication within the role. If you require accessibility assistance or accommodations during the job application process due to a disability, please reach out to Hitachi Energy to request reasonable accommodations. Your safety, integrity, and commitment to Hitachi Energy's core values are essential as you contribute to the advancement of transformer digitalization and sustainable energy solutions.,

At Lilly, we are committed to uniting caring with discovery to enhance the quality of life for individuals worldwide. As a global healthcare leader headquartered in Indianapolis, Indiana, we have a workforce of 39,000 employees dedicated to developing and delivering life-changing medicines, advancing disease understanding and management, and contributing to our communities through philanthropic efforts. Our priority is always people, and we are in search of individuals who share our passion for making a positive impact on global well-being. As part of our ongoing efforts to achieve these goals, we are focused on building and internalizing a cutting-edge recommendation engine platform. This platform is designed to facilitate more agile sales and marketing operations by incorporating various data sources, implementing advanced personalization models, and seamlessly integrating with all other Lilly operations platforms. The ultimate aim is to provide tailored recommendations to sales and marketing teams at the individual doctor level, thereby enhancing decision-making processes and elevating customer experiences. Key Responsibilities: - Demonstrate a strong grasp of deep learning models to develop optimized Omnichannel Promotional Sequences for implementation by sales teams - Analyze extensive datasets to identify trends and insights that inform modeling decisions - Ability to translate business challenges into statistical problem statements, propose solution approaches, and consider relevant constraints - Collaborate with stakeholders to effectively communicate analysis findings - Proficiency in pharma datasets and industry knowledge is advantageous - Experience in code refactoring, training, retraining, deployment, testing, and monitoring of ML models for drift - Optimization of model hyperparameters - Willingness to learn new skills, particularly in ML applications for solving business problems Required Qualifications: - Bachelor's degree in Computer Science, Statistics, or related field preferred - 2-6 years of hands-on experience with data analysis, including coding, summarization, and interpretation - Proficient in coding languages like SQL or Python - Prior experience in deploying, evaluating performance, and fine-tuning recommendation engine models using ML techniques (e.g., CNN/LSTM, GA, XGBoost) for healthcare-related industries - Proficiency in Feature Engineering, Feature Selection, and Model Validation on Big Data - Familiarity with cloud technologies such as AWS, including tools like S3, EMR, EC2, Redshift, Glue; experience with visualization tools like Tableau and Power BI is a plus At Lilly, we are dedicated to fostering an inclusive workforce that provides equal opportunities for individuals with disabilities. If you require accommodations to apply for a position at Lilly, please complete the accommodation request form for further assistance. Please note that this form is specifically for accommodation requests related to the application process.,

You will be responsible for building and maintaining HR dashboards and metrics to track and measure key HR performance indicators. Collaboration with HR business partners, talent acquisition, compensation and benefits, and other stakeholders will be essential to understand their analytical needs and provide customized dashboards and insights. It is important to stay updated with the latest HR analytics trends, tools, and technologies and recommend innovative solutions to enhance HR data analyst capabilities. Providing training and guidance to HR team members on data techniques and tools will also be part of your role. Ensuring data accuracy, integrity, and security in all HR analytics processes and systems is crucial. Presenting findings, insights, and recommendations to senior management and key stakeholders in a clear and concise manner will be expected. You will need to collect, analyze, and interpret HR data from multiple sources, including HRIS systems, employee surveys, performance reviews, and other relevant data sets. Identifying trends, patterns, and correlations in HR data to provide insights and recommendations for HR initiatives and strategies is a key aspect of this role. Experience Qualification: - Required Minimum: 2-4 years of relevant experience. - Bachelor's degree in human resources, statistics, business administration, or a related field experience preferred. - Proven previous Workday experience. - Proficiency in statistical analysis, data mining, and data visualization tools (e.g., Workday, Excel, Tableau, Power BI, etc.). - Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights. - Effective communication and presentation skills to convey complex findings to non-technical stakeholders. - Ability to work independently, manage multiple projects simultaneously, and meet tight deadlines. - Attention to detail and a high level of data accuracy and integrity. - Self-starter with the ability to influence and communicate effectively, build strong relationships, and become a trusted advisor and change agent. Required Knowledge, Skills, or Abilities: - Experienced Workday superuser with deep understanding of people analytics and PRISM modules. - Ability to move quickly from big picture thinking and manage relevant detail. - Demonstrated desire to challenge the status quo and drive the team to new ways of thinking and processes. - Passion for the restaurant industry and excitement for learning about restaurant operations. - Strong communicator who can work collaboratively across the enterprise and effectively manage expectations across distributed stakeholders. - Maintains flexibility and influences others to do the same.,

The Software Engineer role at Firstsource requires developing capabilities to build software systems using various software and cloud technologies. You should possess strong analytical and problem-solving skills, along with expertise in software programming, software database management, and creating visualization and interaction layers on Web/Windows platforms. Integration with underlying technology frameworks and computer operating systems like Windows/Unix is essential. Exposure to AI/ML and Data science will be advantageous. Your responsibilities will include developing and building software applications/systems based on design documents across Front-end (web/windows), Back-end (.net/java/python), and Database systems. You will need to follow best practices for design, coding, automated testing, and deployment to production, working effectively within an agile-at-scale framework. Communication of status, updates, and plans to project leadership is crucial, along with the willingness to learn, acquire, and get certified on new technologies as required by projects. Any experience in AI, ML, and Data science will be an added advantage. Key requirements for the role include proficiency in at least one of Java/.Net/Python/NodeJS, good knowledge of JavaScript, at least one of ASP.Net/Angular/ReactJS, RDBMS (Oracle/SQL Server/Postgre) and SQL, familiarity with database management tools like Liquibase/Hibernate, understanding of DevOps (e.g., Azure DevOps) and cloud PaaS, knowledge of coding standards, debugging ability, software development lifecycle, and processes. Experience with cloud-based deployment (AWS/Azure), model performance monitoring, and troubleshooting issues is essential. Strong written and oral communication skills, the ability to work effectively in a cross-functional team, and familiarity with Docker and Git are required. Additionally, exposure to AI/ML frameworks like Pythin, Keras, Pytorch, and libraries such as scikit-learn, as well as practical application of statistical analysis and mathematical modeling concepts, will be beneficial for this role. Please note that Firstsource follows a fair, transparent, and merit-based hiring process and does not ask for money at any stage. Beware of fraudulent offers and always verify through official channels or @firstsource.com email addresses.,

As a Data Science Team Lead at our organization, you will be responsible for leading a team of data scientists, planning data projects, building analytic systems, and managing a team of data scientists and machine learning engineers. Your role will also involve participating in pre-sales activities and developing proposals. With your strong expertise in machine learning, deep learning, NLP, data mining, and information retrieval, you will design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data, creating reports, aligning data projects with organizational goals, understanding business problems, and designing end-to-end analytics use cases. Additionally, you will develop complex models and algorithms to drive innovation throughout the organization, conduct advanced statistical analysis to provide actionable insights, collaborate with model developers to implement scalable solutions, and provide thought leadership by researching best practices and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models, Classification models, and Unsupervised models, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, and Markov, real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large datasets, simulation/optimization, and distributed computing tools, excellent written and verbal communication skills, a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced startup-like environment, and an additional advantage of experience in semi, unstructured databases. Optional qualifications include programming skills in languages like C, C++, Java, or .Net.,

You are required to have a minimum of 1 year of experience in customer relationship management within the real estate industry. Additionally, proficiency in statistical analysis techniques is expected to understand customer behavior and enhance service delivery. Your primary responsibilities will include developing and nurturing strong relationships with customers to improve satisfaction and retention rates. Utilizing data analysis and predictive modeling will be crucial to identify customer needs and enhance services. Collaborating with the marketing team to tailor communication strategies based on customer preferences is also part of your role. Efficiently managing customer inquiries and feedback to maintain high service quality, supporting business development initiatives by leveraging customer data analysis, and implementing continuous improvement processes based on customer insights are key aspects of your responsibilities. You will also work closely with engineering teams to ensure customer requirements align with technical solutions. Conducting regular customer reviews to uphold service expectations, exploring growth opportunities, and ensuring alignment with customer needs will be essential in this role.,

Medical Writer II (QC of Regulatory Docs) Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. WhyBecause when we bring together diversity of thoughts, backgrounds, cultures, and perspectives we re able to create a place where everyone feels like they belong. Job Responsibilities Job Description Experience in QC of regulatory MW documents (protocols including amendments, CSRs, IBs and updates, etc). Compiles, writes, edits, and coordinates medical writing deliverables that present scientific information clearly and accurately, and works as a medical writer within and across departments with minimal or moderate supervision. Completes a variety of documents that may include clinical study protocols and clinical study protocol amendments; clinical study reports; patient narratives; annual reports; investigator brochures; informed consents; annual reports; plain language summaries; periodic safety update reports; journal manuscripts; and abstracts, posters, and presentations for scientific meetings. Adheres to established regulatory standards, including, but not limited to, ICH E3 guidelines, as well as company standard operating procedures, client standards, and company and/or client approved-templates, authorship requirements, and style and formatting guides, when completing medical writing projects, on time and on budget. Coordinates quality and editorial reviews. Ensures source documentation is managed appropriately. Leads document reviews, reviews documents as needed, and resolves comments from client. Acts as peer reviewer for internal team to ensure document scientific content, clarity, overall consistency, and proper format. Reviews statistical analysis plans and table/figure/listing specifications for appropriate content,and for grammar, format, and consistency. Provides feedback to further define statistical output required. Interacts and builds good working relations with clients, department head, and peers, as necessary, to produce writing deliverables. Performs online clinical literature searches and complies with copyright requirements. Identifies and proposes solutions to resolve document issues, escalating as appropriate. Mentors less experienced medical writers on projects, as necessary. Maintains a strong working knowledge of drug development process, regulatory guidelines,industry standards, and best practices. Aware of budget specifications for assigned projects, working within the budgeted hours and communicating status and changes to medical writing leadership. Completes required administrative tasks within the specified timeframes. Performs other work-related duties as assigned. What were looking for: Bachelor s degree in a relevant discipline with relevant writing experience; graduate degree preferred. At least 2 years of relevant experience in science, technical, or medical writing. Experience working in the biopharmaceutical, device, or contract research organization industry preferred. Familiar with FDA and ICH regulations, other regulatory guidelines, and/or good publication practices strongly preferred. Experience writing relevant document types preferred. Extensive knowledge of English grammar and ability to communicate clearly; familiar with AMA Manual of Style.

Medical Writer II (Narrative Writing) Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. WhyBecause when we bring together diversity of thoughts, backgrounds, cultures, and perspectives we re able to create a place where everyone feels like they belong. Job Responsibilities Main experience in CSR safety narratives writing (authoring, addressing review comments, collaborating with teams) Compiles, writes, edits, and coordinates medical writing deliverables that present scientific information clearly and accurately, and works as a medical writer within and across departments with minimal or moderate supervision. Completes a variety of documents that may include clinical study protocols and clinical study protocol amendments; clinical study reports; patient narratives; annual reports; investigator brochures; informed consents; annual reports; plain language summaries; periodic safety update reports; journal manuscripts; and abstracts, posters, and presentations for scientific meetings. Adheres to established regulatory standards, including, but not limited to, ICH E3 guidelines, as well as company standard operating procedures, client standards, and company and/or client approved-templates, authorship requirements, and style and formatting guides, when completing medical writing projects, on time and on budget. Coordinates quality and editorial reviews. Ensures source documentation is managed appropriately. Leads document reviews, reviews documents as needed, and resolves comments from client. Acts as peer reviewer for internal team to ensure document scientific content, clarity, overall consistency, and proper format. Reviews statistical analysis plans and table/figure/listing specifications for appropriate content,and for grammar, format, and consistency. Provides feedback to further define statistical output required. Interacts and builds good working relations with clients, department head, and peers, as necessary, to produce writing deliverables. Performs online clinical literature searches and complies with copyright requirements. Identifies and proposes solutions to resolve document issues, escalating as appropriate. Mentors less experienced medical writers on projects, as necessary. Maintains a strong working knowledge of drug development process, regulatory guidelines,industry standards, and best practices. Aware of budget specifications for assigned projects, working within the budgeted hours and communicating status and changes to medical writing leadership. Completes required administrative tasks within the specified timeframes. Performs other work-related duties as assigned. What were looking for: Bachelor s degree in a relevant discipline with relevant writing experience; graduate degree preferred. At least 2 years of relevant experience in science, technical, or medical writing. Experience working in the biopharmaceutical, device, or contract research organization industry preferred. Familiar with FDA and ICH regulations, other regulatory guidelines, and/or good publication practices strongly preferred. Experience writing relevant document types preferred. Extensive knowledge of English grammar and ability to communicate clearly; familiar with AMA Manual of Style.

The job involves inspecting premises and monitoring the work of personnel to identify any issues or non-conformity, such as the failure to use protective equipment. You will be responsible for overseeing installations, maintenance, and the disposal of substances, among other tasks. In addition, you will need to stop any unsafe acts or processes that may pose a danger to health or safety. Another important aspect of the role is recording and investigating incidents to determine their causes and handling workers" compensation claims. You will also be required to prepare reports on these occurrences and provide statistical information to upper management. This is a full-time, permanent position suitable for freshers. The benefits include health insurance, paid sick time, and Provident Fund. The work schedule may include day shifts, morning shifts, or rotational shifts. There are additional bonuses such as a joining bonus, performance bonus, and yearly bonus. Please note that the work location is in person.,

The Data Chapter at our organization serves as a strategic partner, utilizing cutting-edge AI and ML technologies to drive data-led initiatives that help mitigate risk, generate revenue, and enhance operational efficiency. Our primary focus lies in ensuring data integrity and governance, delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout the organization. Through a collaborative approach, we provide timely and actionable solutions that align with the strategic objectives of the company. As a member of our team, your responsibilities will include developing and implementing advanced data science models and algorithms to derive business insights and support decision-making processes. You will collaborate with cross-functional teams to identify and address complex business challenges using statistical analysis and machine learning techniques. Additionally, you will be involved in conducting risk and business model analysis to evaluate the impact of data-driven initiatives on the organization. We encourage exploration and experimentation with emerging technologies like generative AI to enhance our data science capabilities and foster innovation. Problem-solving skills, both independently and as part of a team, are essential for success in this role. To qualify for this position, you should possess 2-6 years of experience in data science, machine learning, or a related field. Proficiency in statistical analysis, data mining, and the application of advanced analytical techniques is required. Hands-on experience in Python coding is a must, along with familiarity with cloud storage and computing. Proficiency in Excel is preferred. You should also have practical experience in developing and deploying data science models and algorithms, including those involving generative AI. Strong problem-solving and critical thinking skills are highly valued, as well as effective communication and collaboration abilities to work efficiently with cross-functional teams. If you are seeking a challenging opportunity where you can contribute your expertise and grow professionally, we invite you to apply now. We offer a competitive salary and benefits package, along with the opportunity to work in a dynamic environment that supports your development and recognizes your achievements.,

We are seeking a skilled Business Intelligence Analyst who can effectively organize and analyze data sourced from various outlets to generate insightful reports and metrics. The ideal candidate should possess the ability to conduct in-depth data analysis and articulate key metrics and insights to diverse stakeholders. As a Business Intelligence Analyst, your primary responsibilities will include managing a wide array of data and metrics essential to our business operations. This encompasses overseeing company sales and revenues, customer-level metrics, and product usage metrics. Furthermore, you will work closely with finance teams to support tasks such as invoicing and cash flow management. Collaboration with product and operations teams is also crucial for analyzing product metrics and enhancing overall product performance: - Manage and analyze company sales, revenues, profits, and other key performance indicators (KPIs). - Analyze photographer-level metrics, such as sales, average basket, conversion rate, and growth. - Analyze product usage data and collaborate with the product team to boost product adoption and performance. - Conduct ad-hoc analysis to aid various business initiatives. - Assist the finance team in invoicing, cash flow management, and revenue forecasting. The ideal candidate for this role should meet the following requirements: - Expert-level proficiency in Excel. - Familiarity with at least one data visualization and exploration tool, such as Tableau, Kibana, or Grafana. - Strong analytical and problem-solving skills. - Comfortable working with large datasets to identify patterns and anomalies. - Excellent communication and collaboration skills. - Proficiency in SQL for data querying and manipulation. - Experience in Python for data analysis using libraries like pandas, numpy, scipy, and matplotlib. - Familiarity with statistical analysis techniques. - Knowledge of basic accounting principles, including balance sheets, profit and loss statements, and double-entry accounting. - Required experience: 3-6 years. This role offers an exciting opportunity to apply your analytical skills and contribute to the success of our organization.,

As an Associate Managing Consultant in Business Experimentation at Mastercard's Advisors & Consulting Services group, you will be part of a team that specializes in advising executives on business decisions using the industry-leading predictive analytics SaaS platform, Test & Learn. Your role will involve collaborating with customers to identify key priorities and designing and executing business experiments to determine the effectiveness of various ideas and their deployment strategies. Your responsibilities will include managing deliverable development and workstreams on projects spanning different industries and problem statements. You will contribute to the development of strategies and programs for regional and global clients by utilizing data science tools such as Test & Learn. Building and maintaining a strong working relationship with client managers will be crucial, as you act as a trusted partner and provide analytical and technical expertise to drive client success through Test & Learn adoption. In addition to client impact, you will play a key role in fostering team collaboration and a positive work culture. This involves developing sound business recommendations, delivering impactful client presentations, and organizing and structuring work for both yourself and junior project delivery consultants. Leading team and external meetings, managing project management tasks, and contributing to the firm's intellectual capital will also be part of your responsibilities. You will gradually transition from coaching to taking ownership of day-to-day project management across client projects and mentoring junior consultants. To excel in this role, you should hold an undergraduate degree with analytical experience in consulting, analytics, or data science. Strong analytical, interpretive, and problem-solving skills are essential, along with proficiency in analyzing large datasets and deriving key insights. Logical thinking, numerical analysis capabilities, and proficiency in Word, Excel, and PowerPoint are required. Effective communication skills in English and the local office language, if applicable, are necessary. You should also be eligible to work in the country where you are applying and be open to travel as required. Preferred qualifications include additional experience in data modeling, database management, data visualization tools, or time series analysis. Experience in managing tasks within collaborative teams, coaching junior consultants, and possessing industry expertise are advantageous. While an MBA or master's degree is not mandatory, it can be beneficial for this role. Given the nature of the work involving access to Mastercard assets, information, and networks, you are expected to abide by security policies, maintain confidentiality and integrity of information, report any security breaches, and undergo periodic security training as per Mastercard's guidelines.,

As a market research analyst, you will play a crucial role in gathering and analyzing statistical data using modern and traditional methods to provide valuable insights into market behavior and competitors" strategies. Your responsibilities will include interpreting data, formulating reports, and making recommendations to help drive informed business decisions. Additionally, you will be expected to monitor and forecast marketing and sales trends, assist in the development of marketing plans, and conduct research on specific market conditions. To excel in this role, you should possess a Bachelor's degree in market research or a related field, along with a minimum of 3+ years of experience in market research and analysis. An analytical mindset, strong theoretical knowledge, and the ability to comprehend competitor strategies and consumer behavior are essential qualities for success. You should also have a thorough understanding of marketing programs and strategies, proficiency in data collection and analysis, and excellent organizational and detail-oriented skills. Other key qualities that will help you stand out as a market research analyst include the ability to work under pressure, meet strict deadlines, and communicate effectively with clients and management. Proficiency in math, web analytics, business research tools, Microsoft Office, databases, and statistical packages is crucial for this role. Moreover, you should be adept at simplifying complex information into user-friendly formats and possess strong analytical and critical thinking skills to drive meaningful insights. If you are looking for a challenging opportunity in Trichy and have a passion for market research and analysis, this role offers the right mix of benefits and career growth opportunities similar to those offered by MNCs across India. Join our team and contribute to our success by making data-driven decisions and providing valuable market insights to drive business growth.,

As a Marketing Analytics Specialist at Trimble, you will be crucial in supporting the Trimble Demand Generation Teams by playing a pivotal role in shaping the future of Marketing analytics. Your primary responsibility will involve defining and driving a clear vision for the team while ensuring successful implementation. You will focus on building the technical foundation and analytics framework to support Marketing and Publishing initiatives, optimizing processes, and aligning data strategies with broader business goals. Your key responsibilities will include defining, developing, and implementing the technical foundation and analytics framework for Marketing and Publishing initiatives. This will involve collaborating with cross-functional teams to define data requirements, objectives, and key performance indicators (KPIs) for user acquisition campaigns and broader publishing strategies. Moreover, you will work closely with the Marketing Operations team to create and implement data collection strategies for capturing key marketing data from various sources. As a Marketing Analytics Specialist, you will also be responsible for developing and maintaining data models & dashboards to organize and visualize marketing data, providing actionable insights to stakeholders. Your role will entail conducting in-depth analysis of user acquisition campaigns, including cohort analysis, attribution modeling, and A/B testing to identify trends, patterns, and opportunities for optimization. To excel in this role, you should have 5-8 years of proven experience in marketing analytics, with a focus on customer acquisition in both B2B and B2C industries. Strong analytical skills and proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar platforms are essential. Additionally, proficiency in developing visually compelling and insightful dashboards within Domo to track key marketing performance indicators is required. You should be adept at translating complex marketing data into easily understandable and actionable insights through data visualization best practices. Proficiency in statistical analysis, data visualization tools, and a deep understanding of digital marketing channels and attribution models are crucial for this role. Moreover, excellent communication, collaboration skills, and strong project management skills are essential to effectively manage multiple priorities and deadlines in a fast-paced environment. In this role, you will have the opportunity to stay informed about industry trends, best practices, and emerging technologies in marketing analytics and user acquisition, incorporating new techniques and tools as appropriate. Your ability to mentor and guide junior analysts will foster a culture of data-driven decision-making and continuous improvement within the team. Trimble, a leading provider of advanced positioning solutions, offers an exciting and entrepreneurial environment with a focus on growth and innovation. As a Marketing Analytics Specialist at Trimble, you will be part of a dynamic team that is changing the way the world works through sophisticated positioning technologies.,

Aarki is an AI company dedicated to developing advertising solutions that drive mobile revenue growth. Utilizing AI technology, we identify audiences in a privacy-first environment by analyzing trillions of contextual bidding signals alongside our proprietary behavioral models. Our comprehensive audience engagement platform consists of a full-service agency team and a Unified Creative Strategy that offers ad creative ideation and execution services. With a history of working with numerous advertisers over 14 years, we process 5 million mobile ad requests per second from over 10 billion devices, effectively enhancing performance for publishers and brands. Headquartered in San Francisco, CA, we also maintain offices in the United States, EMEA, and APAC. We are currently looking for a dynamic and detail-oriented Senior Manager of Applied Data Science to join our team. As a Senior Manager, you will lead a team responsible for creating and implementing machine learning models and data pipelines to optimize our programmatic demand-side platform (DSP). Collaborating closely with decision science, engineering, and analytics teams, you will drive impactful data science projects and contribute to innovative solutions. Join us in our mission to push the boundaries of AI and mobile advertising within a collaborative environment that encourages creativity and growth. At Aarki, we offer a competitive salary, comprehensive benefits, and substantial opportunities for career advancement. Responsibilities include: - Building, nurturing, and mentoring a high-performing data science team, emphasizing technical growth and long-term career development. - Spearheading the development of scalable machine learning pipelines tailored for programmatic mobile advertising. - Establishing best practices for model deployment, monitoring, and performance assessment. - Taking ownership of process enhancements throughout the ML lifecycle. - Promoting collaboration with teams in Bangalore and San Francisco, including decision science and bidder engineering, to deploy models into production and conduct experiments. - Ensuring timely project deliveries and swift resolution of model-related issues in production environments. - Designing and managing data pipelines to facilitate the efficient processing of large-scale datasets for training and evaluation. - Collaborating with product managers, engineers, and business stakeholders to seamlessly integrate models into production systems. - Staying abreast of advancements in machine learning and applying cutting-edge techniques to enhance platform capabilities. - Driving innovation by exploring and adopting new methodologies, tools, and technologies. The ideal candidate possesses: - Over 7 years of hands-on experience in data science, with a solid background in machine learning, statistics, and modeling. - More than 3 years of experience in managing teams of data scientists or ML engineers. - Proficiency in Python and SQL, with familiarity in Spark being advantageous. - Expertise in ML libraries like Scikit-Learn, LightGBM, TensorFlow, and PyTorch. - Profound understanding of probability, statistical analysis, and experimental design. - Demonstrated expertise in deploying ML models into production and ensuring continuous model observability. - Exceptional communication skills enabling the effective explanation of complex concepts to both technical and non-technical audiences. - Knowledge of RTB, auction theory, and high-throughput low-latency environments is a plus.,

As a Data Analyst at our organization, you will play a vital role in analyzing our ecommerce clickstream and user behavior data to uncover actionable insights that drive business growth and inform our product roadmap. Leveraging your expertise in tools such as Adobe Analytics, GCP BigQuery, SQL, and Python, you will extract, analyze, and visualize complex datasets. Working closely with our Senior Data Analyst/Architect, you will contribute to the strategic direction of our product development efforts. Your responsibilities will include analyzing ecommerce clickstream data to understand user journeys and optimize website performance, investigating user behavior patterns to enhance customer interactions, and utilizing SQL and Python to extract and manipulate large datasets from our data warehouse. Additionally, you will create insightful dashboards and reports using data visualization tools to effectively communicate findings to stakeholders across different teams. Collaborating with the Senior Data Analyst/Architect, you will translate data-driven insights into actionable recommendations that contribute to the development and prioritization of our product roadmap. You will define and track key performance indicators (KPIs), conduct AB testing analysis, and collaborate with cross-functional teams to provide relevant insights. Ensuring data quality and integrity, staying updated on industry trends, and continuously learning best practices in ecommerce analytics will also be key aspects of your role. To qualify for this position, you should have a Bachelor's degree in a quantitative field and at least 2 years of experience as a Data Analyst, preferably with a focus on ecommerce analytics. Hands-on experience with Adobe Analytics, strong proficiency in SQL, and solid programming skills in Python are essential. Experience with cloudbased data warehouses, data visualization tools, and strong analytical and problemsolving skills are also required. Excellent communication and presentation skills, the ability to work independently and collaboratively in a fast-paced environment, and a passion for data science and ecommerce are important attributes for success in this role. Key Skills: Adobe Analytics, GCP BigQuery, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), Ecommerce Analytics, User Behavior Analysis, Clickstream Data Analysis, Data Visualization, Data Reporting, AB Testing Analysis, Product Roadmap Contribution, Statistical Analysis, Data Mining, Communication (Written, Verbal), Problem-Solving, Teamwork Mandatory Skills: Data Science, E-commerce,

As a Data Scientist at WAC, you will play a crucial role in transforming intricate data into actionable insights that drive business strategies and foster innovation. Your primary responsibility will involve collaborating with diverse teams to create and implement data science solutions that align with our business objectives. Your tasks will include data exploration, where you will gather, cleanse, and preprocess data from a variety of sources to ensure its quality and reliability. Leveraging advanced statistical and machine learning techniques, you will conduct in-depth analyses to derive meaningful insights. Additionally, you will be responsible for developing, refining, and optimizing predictive models that tackle specific business challenges and opportunities. Creating visually engaging reports and dashboards to present findings to technical and non-technical stakeholders will be a key aspect of your role. You will also be involved in formulating and testing hypotheses, as well as designing and executing A/B tests to evaluate the impact of changes and enhancements. Your ability to communicate complex technical findings in a clear and understandable manner will be vital in supporting decision-makers. Collaboration will be integral to your work, as you will liaise with teams across the organization to grasp business goals and provide data-driven insights and recommendations. Continuous learning is encouraged, and staying abreast of the latest trends in data science, machine learning, and analytics will enable you to apply cutting-edge techniques and tools effectively. To qualify for this role, you should hold a Master's or Ph.D. degree in a relevant field such as Data Science, Statistics, Computer Science, or related disciplines. With a minimum of 4 years of experience in a Data Scientist or similar position, you must demonstrate proficiency in data analysis tools and languages like Python or R. A strong grasp of machine learning techniques and libraries, coupled with familiarity with data visualization tools such as Tableau or Power BI, is essential. Your problem-solving abilities, critical thinking skills, and aptitude for effective communication, especially in simplifying complex technical concepts for non-technical stakeholders, will be crucial. An understanding of data ethics and the responsible use of data is also expected from potential candidates. Thank you for your interest in joining Webandcrafts. We eagerly anticipate delving deeper into your application to assess your suitability for this role.,

As a Structured Finance Professional, you will play a vital role in supporting the Structured Finance Desk of a UK-based Asset Manager. Your responsibilities will include identifying investment opportunities and monitoring the existing portfolio of asset-backed securities in European markets, focusing on ABS, RMBS, CMBS, and CLO asset classes. Your role will involve analyzing and reviewing quantitative, structural, legal, and credit aspects of securitization transactions, both in primary and surveillance capacities. You will assess asset pools, transaction structures, and develop financial models to project cash flows and estimate losses. In addition, you will need to have a solid understanding of valuation inputs, capital structure, waterfall analysis, and the ability to conduct scenario/sensitivity testing using Excel to build cash flow models for various structured products. Furthermore, you will be required to perform data mining and statistical analysis for a diverse range of structured finance asset classes such as NPLs, SME ABS, RMBS, auto ABS, and CMBS. You will present investment proposals in Credit Committees, providing thorough analysis and justifications for the transactions. To excel in this position, you must possess an MBA or equivalent in Finance, CFA, or CA qualification. You should have a strong understanding of structured finance and various asset classes, as well as prior experience in data mining and statistical analysis. Additionally, you should demonstrate strong quantitative, technical, financial modeling, analytical, and valuation skills, with expertise in modeling portfolios and structured finance opportunities. Ideally, you will have 5 to 8 years of experience in managing ABS/structured credit, along with proficiency in database usage, including Bloomberg and Microsoft Office. Working knowledge of Intex will be advantageous. Good time management skills and the ability to prioritize tasks under pressure are essential. Strong communication skills, both written and verbal, are crucial for effectively engaging with the Portfolio Manager. Independent thinking, organizational skills, and familiarity with databases like Intex and Bloomberg will further enhance your performance in this role. If you meet these qualifications and are keen to explore new opportunities in the field of Structured Finance, we encourage you to share your resume at [nairshobika.karan@sutherlandglobal.com] with the subject line "Structured Finance.",

As a Director of Market Insights at COEUS, a Red Nucleus company, you will play a key role in leading and supporting research efforts across various consulting and research engagements within the life sciences industry. Your responsibilities will include managing the execution of multiple market research projects from design to data collection, analysis, and final delivery. You will collaborate with a diverse team including analysts, consultants, the Vice President of Market Insights, and internal stakeholders to ensure the success of each project. Additionally, you will be responsible for managing analysts on individual projects, providing coaching and mentoring as needed. The ideal candidate for this role will have a background in life sciences, market access, and experience with both quantitative and qualitative market research methodologies. Effective communication skills, proactive attitude, and strong analytical capabilities are essential for success in this position. Key Responsibilities: - Develop research design protocols for qualitative and quantitative market research engagements - Design screeners for participant recruitment and moderate interviews with market access decision makers - Lead the analysis of primary market research data to derive insights on drug pricing, market access, value proposition, and related topics - Create client-ready research presentations in PowerPoint and collaborate with internal teams for project success - Support the development of business development processes and mentor junior staff - Lead the creation of high-quality market research proposals for clients Qualifications: - Bachelor's degree required (advanced degree preferred) in relevant fields such as social sciences, business, marketing, or healthcare - Minimum 5 years of experience in life sciences industry, market research, or related fields - Knowledge and experience in healthcare is strongly preferred - Proficiency in qualitative and quantitative research methodologies - Strong written and verbal communication skills, time management, attention to detail, and ability to work independently and as part of a team - Proficient in MS Office Suite, particularly in developing professional slides in PowerPoint - Experience with qualitative research and analysis; proficiency in Statistical Analysis software is a plus At Red Nucleus, you can expect a supportive and engaging work environment with comprehensive benefits, wellness programs, flexible work arrangements, and opportunities for professional development. Join us in celebrating diversity, inclusion, project milestones, and more while making a meaningful impact in the life sciences industry. For more information about Red Nucleus and COEUS, please visit our Careers page and the COEUS website respectively.,

Job Description: As the Digital Transformation Lead at Godrej Agrovet Limited (GAVL) in Mumbai, you will play a crucial role in driving innovation and productivity in the agri-business sector. GAVL is dedicated to enhancing the livelihood of Indian farmers by developing sustainable solutions that enhance crop and livestock yields. With leading market positions in Animal Feed, Crop Protection, Oil Palm, Dairy, Poultry, and Processed Foods, GAVL is committed to making a positive impact on the agricultural industry. With an impressive annual sales figure of 6000 Crore INR in FY 18-19, GAVL has a widespread presence across India, offering high-quality feed and nutrition products for cattle, poultry, aqua feed, and specialty feed. The company operates 50 manufacturing facilities, has a network of 10,000 rural distributors/dealers, and employs over 2500 individuals. At GAVL, our people philosophy revolves around the concept of tough love. We set high expectations for our team members, recognizing and rewarding performance and potential through career growth opportunities. We prioritize the development, mentoring, and training of our employees, understanding that diverse interests and passions contribute to a strong team dynamic. We encourage individuals to explore their full potential and provide a supportive environment for personal and professional growth. In this role, you will utilize your expertise as a Data Scientist to extract insights from complex datasets, develop predictive models, and drive data-driven decisions across the organization. You will collaborate with various teams, including business, engineering, and product, to apply advanced statistical methods, machine learning techniques, and domain knowledge to address real-world challenges. Key Responsibilities: - Data Cleaning, Preprocessing & Exploration: Prepare and analyze data, ensuring quality and completeness by addressing missing values, outliers, and data transformations to identify patterns and anomalies. - Machine Learning Model Development: Build, train, and deploy machine learning models using tools like MLflow on the Databricks platform, exploring regression, classification, clustering, and time series analysis techniques. - Model Evaluation & Deployment: Enhance model performance through feature selection, leveraging distributed computing capabilities for efficient processing, and utilizing CI/CD tools for deployment automation. - Collaboration: Work closely with data engineers, analysts, and stakeholders to understand business requirements and translate them into data-driven solutions. - Data Visualization and Reporting: Create visualizations and dashboards to communicate insights to technical and non-technical audiences using tools like Databricks and Power BI. - Continuous Learning: Stay updated on the latest advancements in data science, machine learning, and industry best practices to enhance skills and processes. Required Technical Skills: - Proficiency in statistical analysis, hypothesis testing, and machine learning techniques. - Familiarity with NLP, time series analysis, computer vision, and A/B testing. - Strong knowledge of Databricks, Spark DataFrames, MLlib, and programming languages (Python, TensorFlow, Pandas, scikit-learn, PySpark, NumPy). - Proficient in SQL for data extraction, manipulation, and analysis, along with experience in MLflow and cloud data storage tools. Qualifications: - Education: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field. - Experience: Minimum of 3 years in a data science or analytical role. Join us at Vikhroli, Mumbai, and be a part of our mission to drive digital transformation and innovation in the agricultural sector at Godrej Agrovet Limited.,