111 Statistical Methods Jobs - Page 2

You will be responsible for providing top-class consultancy to support clients in Container Terminal operations. Your role will involve building your and your company's client portfolio, developing strategies to optimize container terminal operations, conducting thorough analyses of current terminal processes, and identifying areas for improvement. You will evaluate and redesign terminal processes to enhance efficiency, reduce turnaround times, and minimize costs. Implementing best practices and industry standards in terminal operations and workflow management will be part of your responsibilities. In this role, you will assess and recommend technological solutions and tools to support terminal optimization, including automation systems and software platforms. You will oversee the integration of new technologies and ensure they align with operational goals. Collaboration with terminal management, staff, and other stakeholders to understand operational challenges and requirements will be crucial. You will also facilitate workshops and training sessions to promote the adoption of optimization strategies and tools. Developing key performance indicators (KPIs) to monitor the effectiveness of optimization initiatives and preparing detailed reports and presentations on performance metrics, progress, and outcomes are essential tasks. Coordinating with cross-functional teams to achieve project goals and resolve any issues that arise will also be part of your role. Ensuring that optimization practices comply with industry regulations, safety standards, and company policies is paramount. Promoting a culture of safety and operational excellence within the terminal will be a key focus. Additionally, you will be responsible for implementing advanced modules like Expert Decking, Auto Stow Prime Route, ASC Scheduler, Horizontal Transport Scheduler, etc., as well as mentoring Terminal Control Room users in their daily tasks. Minimum Qualifications: - Bachelors degree in Logistics, Supply Chain Management, Operations Research, or a related field. - Minimum of 5 ~ 7 years of experience in Terminal Operations, logistics, or supply chain management, with a focus on Optimization. - Experience in managing key client relationships & business consulting. - Ability to think out of the box and make recommendations that add value to clients. - Previous working experience in a project environment and understanding of key milestones, risks & change management. - Proven track record of successful optimization projects in a container terminal or similar environment. - Experience with Terminal operating systems (TOS - Navis in particular) or other relevant software tools. - Excellent problem-solving abilities with attention to detail. - Effective communication and interpersonal skills to collaborate with diverse teams and stakeholders. - Strong analytical skills with proficiency in data analysis, statistical methods, and optimization techniques. - Ability to travel as required for site assessments and client engagements. - Strong understanding of industry trends and best practices in container terminal operations. Kaleris is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive environment for all employees.,

The ideal candidate for this position should have 3+ years of experience in full stack software development, along with expertise in Cloud technologies & services, preferably GCP. In addition, the candidate should possess at least 3 years of experience in practicing statistical methods such as ANOVA and principal component analysis. Proficiency in Python, SQL, and BQ is a must. The candidate should also have experience in tools like SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google Cloud Build, Cloud Run, Vertex AI, Airflow, TensorFlow, etc. Experience in training, building, and deploying ML and DL models is an essential requirement for this role. Familiarity with HuggingFace, Chainlit, Streamlit, and React would be an added advantage. The position is based in Chennai and Bangalore. A minimum of 3 to 5 years of relevant experience is required for this role.,

As a Senior Machine Learning Engineer at TrueFan in Gurugram, you will play a crucial role in designing, developing, and deploying cutting-edge models for end-to-end content generation using AI-driven technologies. Your responsibilities will include working on advanced generative models such as Diffusion Models, 3D VAEs, and GANs to create highly realistic AI-generated media. You will collaborate with software engineers to deploy models efficiently on cloud-based architectures and stay updated with the latest trends in deep generative models and transformer-based vision systems to enhance content quality. Your main responsibilities will revolve around designing and implementing state-of-the-art generative models, building AI pipelines for image/video generation and lipsyncing, developing lipsyncing and multimodal generation models for hyper-realistic content, implementing real-time content generation systems, and conducting experiments to evaluate and improve model performance. Additionally, you will participate in code reviews, improve model efficiency, and document research findings to enhance team knowledge-sharing and product development. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with at least 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, reinforcement learning, and large-scale AI model training are also required. Preferred qualifications include experience with transformers and vision-language models, a background in text-to-video and lipsync generation, familiarity with cloud-based AI pipelines, and contributions to open-source projects or published research in AI-generated content.,

As a Data Analyst, you will be responsible for taking initiative in understanding and fulfilling the data analysis requirements. This role will require you to travel to client sites, both in-city and out-of-city, to gather requirements and provide customized solutions. You will be tasked with creating interactive and informative dashboards and reports utilizing visualization tools such as Tableau, Power BI, and Looker Studio. Your duties will involve gathering and integrating data from various sources, both internal and external, structured and unstructured. You will clean, transform, and analyze this data using statistical methods and tools. Furthermore, you will develop data-driven recommendations for clients and internal stakeholders, collaborating with consultants to ensure solutions align with business needs. Additionally, you will provide data analysis support for client projects and proposals, maintaining data quality, integrity, and security throughout. Your responsibilities will also include the development and management of databases, data systems, and data processes. This is a full-time position with a day shift schedule, and the work location will require in-person presence.,

Description Principal Statistical Programmers Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE 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. Why Because 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 Develop and maintain statistical programming standards and best practices Provide technical expertise and leadership in the development of statistical programs Collaborate with statisticians and other stakeholders to understand and address their programming needs Ensure the accuracy and integrity of data and statistical outputs Troubleshoot and resolve programming issues and challenges Mentor and train junior programmers and other team members Contribute to the continuous improvement of programming processes and tools Design and implement efficient programming solutions to meet project requirements Conduct code reviews and provide constructive feedback to ensure high-quality programming deliverables Stay updated with the latest advancements in statistical programming and incorporate relevant techniques into practice Qualifications Advanced degree in Statistics, Computer Science, or a related field Extensive experience in statistical programming, preferably in a clinical or pharmaceutical setting Proficiency in programming languages such as SAS, R, or Python Strong understanding of statistical methods and data analysis techniques Excellent problem-solving and analytical skills Ability to work independently and as part of a team Strong communication and interpersonal skills Certifications SAS Certified Advanced Programmer for SAS 9 or equivalent certification preferred Necessary Skills Expertise in statistical programming and data analysis Proficiency in programming languages such as SAS, R, or Python Strong understanding of statistical methods and data analysis techniques Excellent problem-solving and analytical skills Ability to work independently and as part of a team Strong communication and interpersonal skills Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Roles within the Statistical Programming job family at the P23 level involve developing programs and providing statistical programming support for statisticians or for client or business use. This includes sourcing, organizing, and interpreting complex data sets by creating statistical tables, listings, and graphs. The role also involves developing codes to create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions to increase productivity. As a leading expert individual contributor, the P23 level professional is viewed as a valuable resource by peers and works to achieve organizational, functional, and business targets with measurable impact on department results. Impact and Contribution Roles within the Statistical Programming job family at the P23 level manage or contribute to projects, programs, or processes that span multiple related areas. They have comprehensive knowledge and skills in their professional discipline and understand the impact of their work on related areas. Their contributions are crucial in designing, implementing, and delivering processes, programs, and policies. They may direct the work of lower-level professionals or manage processes and programs, spending the majority of their time contributing to the design, implementation, or delivery of processes, programs, and policies using knowledge and skills typically acquired through advanced education. Core Focus . Developing programs and providing statistical programming support for statisticians or for client or business use . Sourcing, organizing, and interpreting complex data sets by creating statistical tables, listings, and graphs . Developing codes to create analysis datasets, tables, and figures . Evaluating programming processes and suggesting revisions to increase productivity . Managing or contributing to projects, programs, or processes that span multiple related areas . Directing the work of lower-level professionals or managing processes and programs . Contributing to the design, implementation, or delivery of processes, programs, and policies using advanced knowledge and skills

Description Principal Stat Programmer(Immediate Joiner) Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE 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. Why Because 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 Develop and maintain statistical programming standards and best practices Provide technical expertise and leadership in the development of statistical programs Collaborate with statisticians and other stakeholders to understand and address their programming needs Ensure the accuracy and integrity of data and statistical outputs Troubleshoot and resolve programming issues and challenges Mentor and train junior programmers and other team members Contribute to the continuous improvement of programming processes and tools Design and implement efficient programming solutions to meet project requirements Conduct code reviews and provide constructive feedback to ensure high-quality programming deliverables Stay updated with the latest advancements in statistical programming and incorporate relevant techniques into practice Qualifications Advanced degree in Statistics, Computer Science, or a related field Extensive experience in statistical programming, preferably in a clinical or pharmaceutical setting Proficiency in programming languages such as SAS, R, or Python Strong understanding of statistical methods and data analysis techniques Excellent problem-solving and analytical skills Ability to work independently and as part of a team Strong communication and interpersonal skills Certifications SAS Certified Advanced Programmer for SAS 9 or equivalent certification preferred Necessary Skills Expertise in statistical programming and data analysis Proficiency in programming languages such as SAS, R, or Python Strong understanding of statistical methods and data analysis techniques Excellent problem-solving and analytical skills Ability to work independently and as part of a team Strong communication and interpersonal skills Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Roles within the Statistical Programming job family at the P23 level involve developing programs and providing statistical programming support for statisticians or for client or business use. This includes sourcing, organizing, and interpreting complex data sets by creating statistical tables, listings, and graphs. The role also involves developing codes to create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions to increase productivity. As a leading expert individual contributor, the P23 level professional is viewed as a valuable resource by peers and works to achieve organizational, functional, and business targets with measurable impact on department results. Impact and Contribution Roles within the Statistical Programming job family at the P23 level manage or contribute to projects, programs, or processes that span multiple related areas. They have comprehensive knowledge and skills in their professional discipline and understand the impact of their work on related areas. Their contributions are crucial in designing, implementing, and delivering processes, programs, and policies. They may direct the work of lower-level professionals or manage processes and programs, spending the majority of their time contributing to the design, implementation, or delivery of processes, programs, and policies using knowledge and skills typically acquired through advanced education. Core Focus . Developing programs and providing statistical programming support for statisticians or for client or business use . Sourcing, organizing, and interpreting complex data sets by creating statistical tables, listings, and graphs . Developing codes to create analysis datasets, tables, and figures . Evaluating programming processes and suggesting revisions to increase productivity . Managing or contributing to projects, programs, or processes that span multiple related areas . Directing the work of lower-level professionals or managing processes and programs . Contributing to the design, implementation, or delivery of processes, programs, and policies using advanced knowledge and skills

Description Principal Statistical Programmers Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE 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. Why Because 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 Develop and maintain statistical programming standards and best practices Provide technical expertise and leadership in the development of statistical programs Collaborate with statisticians and other stakeholders to understand and address their programming needs Ensure the accuracy and integrity of data and statistical outputs Troubleshoot and resolve programming issues and challenges Mentor and train junior programmers and other team members Contribute to the continuous improvement of programming processes and tools Design and implement efficient programming solutions to meet project requirements Conduct code reviews and provide constructive feedback to ensure high-quality programming deliverables Stay updated with the latest advancements in statistical programming and incorporate relevant techniques into practice Qualifications Advanced degree in Statistics, Computer Science, or a related field Extensive experience in statistical programming, preferably in a clinical or pharmaceutical setting Proficiency in programming languages such as SAS, R, or Python Strong understanding of statistical methods and data analysis techniques Excellent problem-solving and analytical skills Ability to work independently and as part of a team Strong communication and interpersonal skills Certifications SAS Certified Advanced Programmer for SAS 9 or equivalent certification preferred Necessary Skills Expertise in statistical programming and data analysis Proficiency in programming languages such as SAS, R, or Python Strong understanding of statistical methods and data analysis techniques Excellent problem-solving and analytical skills Ability to work independently and as part of a team Strong communication and interpersonal skills Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Roles within the Statistical Programming job family at the P23 level involve developing programs and providing statistical programming support for statisticians or for client or business use. This includes sourcing, organizing, and interpreting complex data sets by creating statistical tables, listings, and graphs. The role also involves developing codes to create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions to increase productivity. As a leading expert individual contributor, the P23 level professional is viewed as a valuable resource by peers and works to achieve organizational, functional, and business targets with measurable impact on department results. Impact and Contribution Roles within the Statistical Programming job family at the P23 level manage or contribute to projects, programs, or processes that span multiple related areas. They have comprehensive knowledge and skills in their professional discipline and understand the impact of their work on related areas. Their contributions are crucial in designing, implementing, and delivering processes, programs, and policies. They may direct the work of lower-level professionals or manage processes and programs, spending the majority of their time contributing to the design, implementation, or delivery of processes, programs, and policies using knowledge and skills typically acquired through advanced education. Core Focus . Developing programs and providing statistical programming support for statisticians or for client or business use . Sourcing, organizing, and interpreting complex data sets by creating statistical tables, listings, and graphs . Developing codes to create analysis datasets, tables, and figures . Evaluating programming processes and suggesting revisions to increase productivity . Managing or contributing to projects, programs, or processes that span multiple related areas . Directing the work of lower-level professionals or managing processes and programs . Contributing to the design, implementation, or delivery of processes, programs, and policies using advanced knowledge and skills

You are a talented and experienced AI and Analytics Specialist Developer with a strong background in artificial intelligence, generative AI, and analytics. You have hands-on experience in implementing real-world use cases. Your role involves working closely with cross-functional teams to develop and deploy AI solutions that enhance the platform and services. Your key responsibilities include developing and implementing AI solutions, designing, developing, and deploying AI models and algorithms to solve business problems and improve operational efficiency. You will also work on generative AI projects such as natural language processing (NLP), computer vision, and other related areas. Additionally, you will analyze large datasets to extract actionable insights and support data-driven decision-making. Collaborating with product owners, data scientists, and engineers is essential to integrate AI solutions into the platform and services. Staying updated with the latest advancements in AI and analytics and applying innovative techniques to enhance capabilities is crucial. You will also be responsible for monitoring and evaluating the performance of AI models and continuously improving them based on feedback and new data. Documenting processes, methodologies, and results, as well as presenting findings to stakeholders, is part of your role. In terms of technical requirements, you should have proficiency in programming languages such as Python, experience with AI frameworks and libraries like TensorFlow, PyTorch, and Keras, a strong understanding of machine learning algorithms and statistical methods, and hands-on experience with data preprocessing, fine-tuning, feature engineering, and model evaluation. Excellent problem-solving skills and the ability to analyze complex datasets are essential analytical skills. Additionally, you are expected to have a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with a minimum of 3 years of experience in AI, generative AI, and analytics. Preferred skills include expertise in Artificial Intelligence (AI - ALL), H2O, NLP-Speech Analytics, and Python in the context of Machine Learning.,

About the Team Our Data Science team is the Avengers to Meesho's S.H.I.E.L.D ?????. And why not We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We've barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. About the Role As a Principal Data Scientist in our AdTech team, you'll drive innovation in our advertising platform using advanced machine learning and statistical methods. You'll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our business's bottom line. This role requires technical excellence and business acumen and you'll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What you will do Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical Lead research initiatives in machine learning, auction theory and advertising technology. What you will need B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Preferred Qualifications: M.Tech or Ph.d in Computer Science with a specialization in Machine Learning. 3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains. Exposure in real-time bidding systems, programmatic advertising, or ad exchanges. Track record of successful research-to-product transitions. Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI). About us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform we're your partner in turning dreams into realities. Curious about life at Meesho Explore our Glassdoor - our people have a lot to say and they've helped us become a loved workplace in India. Our Mission Democratising internet commerce for everyone - Meesho (Meri Shop) started with a single idea in mind: to be an e-commerce destination for Indian consumers and to enable small businesses to succeed online. We provide our sellers with benefits such as zero commission and affordable shipping solutions in the market. Today, sellers nationwide are growing their businesses by tapping into Meesho's large and diverse customer base, state-of-the-art tech infrastructure, and pan-India logistics network through trusted third-party partners. Affordable, relatable merchandise that mirrors local markets has helped us connect with internet users and serve customers across urban, semi-urban, and rural India. Our unique business model and continuous innovation have established us as a part of India's e-commerce ecosystem. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprise a comprehensive set of elements - monetary, non-monetary, tangible, and intangible. Our 9 guiding principles, or Mantras, are the backbone of how we operate, influencing everything from recognition and evaluation to growth discussions. Daily rituals and processes like Problem First Mindset, Listen or Die, our Internal Mobility Program, Talent Reviews, and Continuous Performance Management embody these principles. We offer competitive compensation - both cash and equity-based - tailored to job roles, individual experience, and skill, along with employee-centric benefits and a supportive work environment. Our holistic wellness program, MeeCare, includes benefits across physical, mental, financial, and social wellness. This includes extensive medical insurance for employees and their families, wellness initiatives like telehealth, wellness events, and fitness-related perks. To support work-life balance, we offer generous leave policies, parental support, retirement benefits, and learning and development assistance. Through personalized recognition, gratitude for stretched work, and engaging activities, we promote employee delight at the workplace. Additional benefits such as salary advance support, relocation assistance, and flexible benefit plans further enrich the Meesho experience. Know more about Meesho here :

Role Overview: We are hiring Marketing Mix Modeling Analysts with 24 years of experience in Marketing Analytics, with strong focus on data modeling, media and sales analytics, and price/promotion impact evaluation. This role will support model development and data preparation for multiple brands across media and sales channels. Key Responsibilities: 1. Assist in building and validating Marketing Mix Models using media, sales, and marketing input data 2. Prepare and transform datasets for modeling (GRPs, spends, distribution, sales, Nielsen data, etc.) 3. Work on Price & Promotion analytics, RCM models, and forecasting logic 4. Apply statistical techniques like regression, decay/adstock, and optimization 5. Support senior team members in creating presentations, model summaries, and business insights 6. Collaborate with internal/external stakeholders for data alignment and delivery planning Key Skills & Tools: 1. Hands-on experience with Python. 2. Good understanding of Marketing Mix Modeling and related statistical methods 3. Comfort with marketing and media data: TV, Digital, Distribution, Sales, Nielsen RMS/RA 4. Strong in Excel and SQL for data handling and reporting Preferred Background: 1. Worked in FMCG, retail, media analytics, or marketing consulting projects. 2. Exposure to marketing measurement or econometric modeling techniques

The ideal candidate should have strong proficiency in Python with experience in Pandas. You should have a minimum of 2-3 years of practical experience with data projects and be well-versed in SQL and modern database technologies. Proficiency in version control systems, statistical methods, and practical application of machine learning concepts, especially in NLP, is required. Experience with API development and integration, as well as expertise in the Azure cloud platform (AWS/GCP knowledge is a plus), is essential. You should also be familiar with data visualization tools like matplotlib and seaborn, data pipeline development, ETL processes, data warehouse design, and implementation. Proficiency in building and maintaining data pipelines, data modeling, schema design, and experience with ETL tools like Azure Data Factory is necessary. Knowledge of data lake architectures, data cleaning, preprocessing skills, and big data technologies such as Spark and Databricks is a plus. In addition, you should have the ability to optimize database queries and data processes, experience with real-time data processing, and strong analytical skills focusing on data quality and validation. Experience with prompt engineering, LLM application development, AI model deployment, integration, and knowledge of responsible AI practices are desired. A Bachelor's or Master's degree in Computer Science, Data Science, or a related field is required, along with evidence of continuous learning such as certifications and online courses. Previous healthcare data experience and Azure certifications are highly valued. You must grasp data privacy and security principles, understand GDPR fundamentals, data protection principles, and have knowledge of handling sensitive personal data. Strong English communication skills, experience with remote work tools, and asynchronous communication are necessary, along with the ability to work across time zones and be a self-motivated, independent worker with strong documentation habits. Collaboration and communication skills are essential, including experience working with development teams, code review, technical specification writing, proactive communication, problem-solving mindset, and the ability to explain technical concepts to non-technical stakeholders. Experience with project management tools like Jira and Trello is beneficial. This is a full-time position with benefits including Provident Fund. The work location is in person, and the expected start date is 01/03/2025.,

You will be responsible for analyzing merchant transaction data to detect suspicious, fraudulent, or anomalous behavior patterns. Collaborating with data science teams to build and refine anomaly detection algorithms using machine learning and statistical methods will be a key aspect of your role. You will also be required to perform deep dives on flagged transactions to identify root causes and patterns. Working closely with risk, product, compliance, and engineering teams to define detection strategies and enhance risk scoring systems will be part of your responsibilities. Furthermore, you will need to maintain and improve the transaction monitoring system, including rule tuning and false positive reduction. Ensuring timely escalation and reporting of suspicious activity to compliance and regulatory bodies as required (e.g., SARs/STRs) will also be essential. Conducting post-incident analysis to improve detection capabilities and reduce future risk is another aspect of this role. Additionally, you will be expected to prepare periodic reports and dashboards for senior management and regulatory reporting. To qualify for this position, you should have a Bachelor's or Master's degree in finance, Data Science, Statistics, Computer Science, or a related field. You must have a minimum of 7 years of experience in transaction monitoring, fraud analytics, or anomaly detection in financial services, preferably in merchant/acquirer finance. Strong analytical skills with hands-on experience in SQL, Python, or other analytical tools are required. Experience with rule-based and machine learning-based anomaly detection systems is necessary. Familiarity with merchant behavior analytics, risk profiling, and fraud typologies is essential. An understanding of AML (Anti-Money Laundering), KYC, and regulatory requirements is also crucial. Excellent communication and documentation skills are expected in this role.,

Join our Digital Transformation Office, a dynamic team driving AI and automation initiatives within Finance. The mission is to enhance operational efficiency, optimize financial decision-making, and drive business value through AI-powered insights. Collaborate with stakeholders to identify AI/ML opportunities for process optimization and decision-making. Analyze data, uncover trends, and support feature engineering for AI models. Assess model feasibility, performance, and business impact. Document AI/ML project requirements, validate model accuracy, and troubleshoot issues. Support production deployment and performance tracking. Work cross-functionally with Data Scientists, Engineers, and Finance teams. Stay updated on AI/ML advancements and industry applications. Proficiency in Python, SQL, and machine learning frameworks is required. Strong understanding of AI algorithms, data analysis, and statistical methods. Ability to translate technical insights into actionable business strategies. Ensure data quality, model accuracy, and impactful insights. Bachelors or Masters in Computer Science, Data Science, Engineering, Mathematics, or a related field is required. 3+ years of experience in machine learning, data analysis, or AI solutions. Experience with data visualization tools (Tableau, Power BI), cloud platforms (AWS, GCP, Azure), and AI deployment tools (Docker, Kubernetes, MLflow) is preferred. Financial industry knowledge and experience working in Agile environments is a plus. At Cisco, we revolutionize how data and infrastructure connect and protect organizations in the AI era and beyond. We innovate to create solutions that power how humans and technology work together across the physical and digital worlds, providing unparalleled security, visibility, and insights. Our technology depth, breadth, and worldwide network of experts offer limitless opportunities to grow and build. We collaborate as a team, making big things happen on a global scale. Cisco's impact is everywhere, and it starts with you.,

As a Corporate Audit Operations and Reporting Analyst, Officer at State Street, you will play a crucial role in generating reporting for various stakeholders. Working alongside the Corporate Audit Operations and Reporting Team, you will contribute to building the division-wide Target Operating Model. This position offers the flexibility to be based in either Pune, India or Krakow, Poland and can be performed in a hybrid model, allowing you to balance work from home and office according to your needs and role requirements. Your responsibilities will include combining and analyzing multiple datasets using tools such as PowerApps, PowerBI/Tableau, SQL, Python, Microsoft Excel, and PowerPoint for management reporting. You will prepare and coordinate presentations for Legal Entity Boards, Audit Committees, branch management, and clients. Additionally, you will consolidate, track, and monitor corrective action items across all business lines within State Street Corporation. Collaboration across departments to ensure accurate data reflects Corporate Audit reporting to Boards and Committees will be a key aspect of your role. To excel in this position, you will need to possess effective problem-solving, conceptual thinking, quantitative, and analytical skills. Strong project management skills, the ability to influence cross-functionally in a dynamic business environment, and excellent communication and technical writing abilities are also valued. An educational background in Computer Science/Engineering, Statistics, Financial Engineering, Economics, Finance, Mathematics, or a related quantitative finance field is preferred, along with a minimum of 3 years of experience working with large datasets for independent analysis. State Street offers a comprehensive benefits package, including a permanent contract of employment from day one, additional holidays, medical and life insurance plans, employee savings plan, and more. You will have access to various training programs, career pathways, and well-being initiatives. State Street values diversity and welcomes candidates who are change-oriented, innovative, data-driven decision-makers, and team players. Join State Street, a leading custodian bank, asset manager, and asset intelligence company with a rich history spanning over two centuries. Embrace the opportunity to contribute to the financial services industry by safeguarding and stewarding investments for millions of people globally. Explore a fulfilling career at State Street with competitive benefits, flexible work programs, and ample opportunities for growth and development. If you are ready to make your mark in the financial services industry, State Street could be the perfect fit for you. Discover more about our career opportunities at StateStreet.com/careers.,

Key Responsibilities: AI/ML Solution Development: Design, build, and optimize machine learning models and algorithms for various applications, including natural language processing, computer vision, recommendation systems, and predictive analytics. Data Collection and Preprocessing: Collaborate with data engineers to identify, acquire, and preprocess datasets, ensuring high quality and suitability for model training. Model Training and Evaluation: Implement state-of-the-art AI/ML algorithms using frameworks like TensorFlow, PyTorch, or scikit-learn, and conduct rigorous testing and evaluation to measure performance and accuracy. Deployment and Integration: Deploy AI models into production environments and integrate them into existing systems for efficient and reliable execution. Algorithm Optimization: Continuously optimize and improve existing AI/ML models to enhance performance and scalability. Research and Innovation: Stay current with the latest advancements in AI/ML research and technology, applying innovative approaches to address business challenges. Collaborative Teamwork: Work closely with cross-functional teams to understand business requirements, develop technical solutions, and communicate project progress effectively. Documentation: Maintain clear and concise documentation of AI/ML models, algorithms, and codebases to facilitate understanding and future enhancements. Data Privacy and Security: Ensure compliance with data privacy and security protocols, protecting sensitive information. Requirements: Education: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field. A Ph.D. in a relevant domain is a plus. Technical Skills: Proficiency in programming languages such as Python, R, or Java, with experience in popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn). Machine Learning Expertise: Strong understanding of various machine learning algorithms, deep learning architectures, and statistical methods. Experience with supervised and unsupervised learning techniques. Data Handling: Knowledge of data preprocessing, feature engineering, and data visualization techniques. Software Development: Familiarity with software development principles, version control, and agile methodologies. Problem-Solving Skills: Ability to analyze complex problems, develop innovative solutions, and troubleshoot issues effectively. Communication: Excellent verbal and written communication skills, capable of conveying technical concepts to both technical and non-technical stakeholders. Team Player: Collaborative mindset with the ability to work well within a team environment. Job Type: Full-time Schedule: Day shift

You will be responsible for driving advanced financial data analysis and analytical modeling to support key operational areas, while reinforcing robust data governance, analytical control frameworks, and strategic decision-making support across the organization. Your role will involve acquiring, structuring, analyzing, and translating complex financial and operational data sets into actionable insights to drive data-informed business strategies. Additionally, you will support the Business Unit in Advanced Analytics, Financial Planning and Analysis (FP&A), including tasks related to Planning, Reporting, scenario modeling, and Financial Analysis. Your primary responsibilities will include developing and maintaining dynamic revenue and expense models, and analytical tools to identify trends, early indicators for both risks/opportunities, and predicting performance outcomes. You will emphasize reporting on Business Unit performance, focusing on revenue and applying statistical methods to interpret underlying business drivers. You will also architect and execute data-driven analysis on the annual budget, provide regular updates through monthly and quarterly analyses like Outlook and Latest Estimates (LEs), and contribute to the 3-year Vision and Strategy Plan (VSP). Furthermore, you will support the month-end financial reporting process, including generating reports to ensure accurate closing of monthly financials and conducting in-depth financial reporting and variance analysis. You will provide operational and business insight for key metrics across multiple functional areas and deliver technical insights and analytical support across functional domains by identifying trends, correlations, and causal relationships in key business metrics. Your role will involve leading initiatives to automate data collection, optimize the design of analytics infrastructure, tools, and visualizations, and drive strategic initiatives that promote growth and operational improvements. Key Responsibilities: - Revenue Management: Evaluate and monitor revenue across product segments using advanced analytics and data modeling. Apply statistical analysis and data science techniques to assess volume trends, customer usage behavior, and market dynamics to forecast revenue and pinpoint opportunities for optimization. Collaborate with sales, product management, and finance teams to align revenue and sales goals with business strategies. - Analytical Forecasting & Planning: Develop robust forecasting models using historical patterns, vendor invoices, and volume trends; apply predictive analytics, AI/ML-based forecasting to monitor variance and how actuals are tracking to proposed forecasts. Manage and analyze the cost structure and budget for the product management function by forecasting personal costs, overseeing 3rd party spend, and identifying budget risks and opportunities using sensitivity analysis and what-if modeling. - Business Intelligence and Performance Optimization: Contribute to identifying business unit opportunities and challenges for enhanced performance. Collaborate with leaders to identify and quantify performance drivers, business models, and gaps through advanced data analytics; identify new business models and workflows, contributing to building business cases for necessary investments and strategic plans. Collaborate with sales and business leaders to drive strategic goals and benchmarks through analyzing, forecasting, and identifying risks and opportunities within the sales to revenue generation of our transactional products. Education: - Minimum: Bachelor's degree in finance, accounting, data analytics/data science, or economics. - Preferred: Master's Degree/MBA in finance, Data Science, or economics. Experience, Knowledge, and Tools: - 4 years of experience in an analytical finance, data science, or business intelligence role. - Minimum Experience/Knowledge: Finance, Data Science/Analytics, or consulting experience, including proven experience in financial and data analytics, with exposure to predictive modeling, scenario planning, and performance measurement. Ability to meet tight deadlines and deliver quality results. Preferred Knowledge: Technical Skills: - Proficiency working with large, structured and unstructured datasets. - Advanced Excel modeling (nested logic, array functions, statistical formulas). - Strong skills in querying and scripting (SQL, Python) and familiarity with data pipelines and AI/ML based forecasting. Tagetik, PowerBI, and Great Plains experience is a plus. Soft Skills: - Self-motivated, works independently, and manages deadlines. - Comfortable with ambiguity and open to potential role changes. - Strong written and verbal communication skills, able to write documents seen at the highest levels of the company. Strong grammar, spelling, and general ability to write bullets is a must.,

FinBox: Where Fintech Meets Fun! Welcome to FinBox, the buzzing hive of tech innovation and creativity! Since our inception in 2017, FinBox has built some of the most advanced technologies in the financial services space that help lenders like Banks, NBFCs and large enterprises build and launch credit products within a matter of days, not months or years. FinBox is a Series A funded company which is expanding globally with offices in India, Vietnam, Indonesia and Philippines. Our vision is to build the best-in-class infrastructure for lending products and help Banks & Financial Services companies across the world scale and launch credit programs that set a new standard in the era of digital finance. So far, weve helped our customers disburse Billions of Dollars in credit across unsecured and secured credit including personal loans, working capital loans, business loans, mortgage and education loans. FinBox solutions are already being used by over 100+ companies to deliver credit to over 5 million customers every month. Why Should You Be a FinBoxer Innovative Environment: At FinBox, we foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what&aposs possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, helping to provide fair and accessible credit to individuals and businesses alike. Growth Opportunities: We are a Series A funded startup and have ample opportunities for growth, professional development and career advancement. Collaborative Culture: Join a diverse and inclusive team of experts who are passionate about making a difference and supporting one another. Whos a Great FinBoxer: At FinBox, were on the lookout for exceptional folks who are all about innovation and impact. If youre excited to shake things up in the banking & financial services world, keep reading! Creative Thinkers: If your brain is always bubbling with out-of-the-box ideas and wild solutions, youre our kind of person. We love disruptors who challenge the norm and bring fresh perspectives to the table. Customer Heroes: Our customers are our champions, and we need heroes who can understand their needs, deliver magical experiences, and go above and beyond to keep them happy. Team Players: We believe in the power of we. If you thrive in a collaborative environment, value different viewpoints, and enjoy being part of a spirited, supportive team, youll fit right in. How You&aposll Contribute Data Analytics & Insights: Analyze large datasets to generate meaningful insights and measure business impact. Model Development & Experimentation: Design and deploy predictive models, leveraging statistical and machine learning techniques to drive business growth. Algorithm Development: Create and optimize algorithms to extract and process data, improving decision-making processes. Experimentation & A/B Testing: Conduct rigorous experimentation to refine products and optimize business strategies. Visualization & Reporting: Build dashboards and automated reports using visualization tools to communicate insights effectively. End-to-End Data Processing: Gather, clean, and pre-process data for insight generation and model building. Stakeholder Collaboration: Work closely with product, engineering, and business teams to translate informal requirements into problem statements and solutions. Model Deployment: Deploy ML models and ensure they are optimized for production and business applications. Who You Are 8+ years of experience in data science, with a strong background in the finance or fintech sector. Working experience at a Banks/NBFCs will be preferred. Expertise in Python/R, SQL, and Excel for data analysis, modeling, and automation. Proficiency in AWS & Git for cloud-based deployment and version control. Strong knowledge of statistical methods and machine learning techniques, including regression, clustering, decision trees, bootstrapping, and survival analysis. Hands-on experience with data visualization tools such as Tableau, Power BI, or open-source libraries. Strong problem-solving and communication skills to simplify complex models and insights for business stakeholders. Experience in deploying data science solutions at scale, with a focus on automation and real-time analytics. Show more Show less

You will be part of the AI squad within the CDO office of the bank, playing a critical role in driving AI adoption and enablement across the bank's functions. Your main responsibility will be to deploy as a member of the functional AI Squads. Your key responsibilities include: Strategy: - Delivering, building, and maintaining solutions for AI use cases and enhancing functionalities of AI tools within the bank. Business: - Accelerate the delivery of AI use cases for various Business & Functions of the bank. - Responsible for implementing product roadmaps, product improvement, building applications with modern architecture design, RESTful web services / APIs, web-based application enhancements for processing large data volumes and real-time streaming, and product deployment with appropriate SDF controls. - Supporting applications in production, analyzing and resolving issues, performing RCA analysis, and implementing solutions. - Acting as a technical subject matter expert and go-to person for all technical requirements within your team. Risk Management: - Adhering to all SDF controls and Data Governance Standards of the bank. Governance: - Developing and implementing change management plans for successful adoption of AI solutions across the organization. - Providing training and support to business users to help them understand and leverage AI tools and technologies. - Fostering a culture of innovation and continuous improvement by promoting the benefits of AI and encouraging experimentation. Regulatory & Business Conduct: - Displaying exemplary conduct and living by the Groups Values and Code of Conduct. - Taking personal responsibility for embedding the highest standards of ethics, regulatory and business conduct across Standard Chartered Bank. - Collaboratively identifying, escalating, mitigating, and resolving risk, conduct, and compliance matters. Key stakeholders include CDO Squads, Business Partners, ITO, internal staff, clients, and 3rd parties. Other responsibilities include embedding Here for good and Groups brand and values, performing other assigned responsibilities under Group, Country, Business, or Functional policies and procedures, identifying and prioritizing AI use cases with significant business value, and developing business cases for AI projects. You are expected to have skills and experience in building and deploying machine learning models, implementing Generative AI solutions, mentoring and guiding a team of machine learning engineers and data scientists, optimizing feature engineering and model tuning, and driving the adoption of advanced ML algorithms. Qualifications: - Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) for building and deploying production-grade machine learning models. - Training in usage and development of LLMs and proficiency in Prompt Engineering. - Language proficiency in English. Standard Chartered is an international bank that values difference, advocates inclusion, and aims to drive commerce and prosperity through unique diversity. They offer core bank funding for retirement savings, medical and life insurance, time-off benefits, flexible working options, proactive wellbeing support, a continuous learning culture, and the opportunity to be part of an inclusive and values-driven organization. If you are looking for a purpose-driven career and want to work for a bank that makes a difference, Standard Chartered welcomes your unique talents and is excited to see what you can bring to the team.,

A79.ai is a VC-funded innovator focused on developing an agentic AI platform for enterprises, with a particular emphasis on the biopharma and life sciences industries. The enterprise-grade platform facilitates the rapid deployment of sophisticated AI agent workflows that continuously learn, adapt, and evolve, ultimately providing measurable ROI for pharmaceutical and biotech clients. As the Sr Software Engineer - Agentic AI, you will be responsible for leading the architecture, coding, integration, and deployment of advanced agentic AI solutions tailored to industries such as pharmaceuticals, biotech, and life sciences. This role necessitates a combination of deep technical engineering skills and domain expertise in biopharma analytics to enable clients to achieve new levels of automation, insight, and forecasting accuracy. Your responsibilities will include architecting, coding, and deploying agentic AI-powered systems that integrate life sciences data, market dynamics, and internal client datasets. You will also be involved in building advanced AI agents in Python, developing and optimizing reusable Python-based agent workflows, engineering robust data pipelines for system integration, and serving as the principal technical contact for enterprise clients. Qualifications for this role include a Bachelors or Masters degree in Computer Science, Data Science, Software Engineering, or a related technical discipline, along with 3 to 5+ years of hands-on engineering experience in AI/ML solutions, data pipelines, or enterprise analytics, preferably within the biopharma or life sciences industry. Advanced Python programming skills, familiarity with biotech and pharmaceutical use cases, experience with agentic AI platforms, cloud platforms, and containerized deployments are also desired. Strong communication skills and a high level of energy and commitment to delivering scalable, production-ready solutions are essential for this position. Industry: Software Development / Biotechnology Employment Type: Full-time,

Unacademy aims to build the world's largest online knowledge repository for multi-lingual education. We use technology to empower great educators and create a community of self-learners. Our vision is to partner with the brightest minds and democratise education for everyone looking to learn. Join us in our journey to change the future of education. Key Responsibilities Collect, clean, and organize data from various internal and external sources. Perform exploratory data analysis to identify trends, patterns, and anomalies. Create and maintain reports, dashboards, and visualizations using tools like Excel, Power BI, or Tableau. Assist in data quality checks and validation to ensure accuracy and completeness. Work with stakeholders to understand business requirements and provide data-driven solutions. Document processes, findings, and recommendations in a clear and structured manner. Support the data team in ad-hoc analysis and ongoing projects. Required Skills & Qualifications Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. Strong knowledge of Excel and basic understanding of SQL. Familiarity with data visualization tools (e.g., Power BI, Tableau, Google Data Studio). Basic understanding of statistical methods and data analysis concepts. Good problem-solving skills with attention to detail. Strong communication skills to present findings effectively. Preferred Skills (Good to Have) Experience with Python or R for data analysis. Knowledge of ETL processes and database management. Understanding of business KPIs and metrics.,

You will be joining Infosys Finacle, a product of EdgeVerve Systems (a subsidiary of Infosys), a global leader in digital banking solutions. In this role as a Data Scientist AI / RPA, you will be responsible for applying statistical methods and machine learning algorithms to large datasets to derive insights and predictions using Python/R packages. Your responsibilities will include expertise in utilizing data science related packages such as sk learn and data manipulation packages like pandas, dask. You should have experience in various modeling techniques including classifications, regression, time series analysis, deep learning, text mining, and NLP. Additionally, you will be analyzing problem statements and devising solutions through creating Proof of Concepts (POCs), collecting relevant data, cleansing data, and possessing basic knowledge of writing SQL queries. To excel in this role, you must have a basic understanding of big data concepts like Hadoop and Hive, as well as experience in ML programming and strong analytical skills. The qualifications required for this position include a B.Tech, M.Tech, MCA, or BE degree. As part of the team, you will have the opportunity to work with cutting-edge technologies and contribute to the digital transformation of financial institutions globally. Infosys Finacle is committed to diversity and inclusivity, providing an equal opportunity workplace for all individuals.,

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. As a leader in fleet safety solutions, we are experiencing rapid growth, exceeding 4x year over year. Our innovative solution is being recognized as a disruptive technology, and to continue facilitating our growth, we are looking for forward-thinking and competitive team members. We are currently seeking a skilled Data Analyst with proficiency in Tableau, PowerPoint, and data visualization. Candidates with experience in transportation, logistics, supply chain, or related industries will have an advantage. The ideal candidate should possess a strong background in refining, scaling, and automating business case and ROI modeling processes. This role plays a critical part in supporting data-driven decision-making by analyzing and presenting insights that steer business strategies. Key Responsibilities: - Develop, refine, and automate business case and ROI models to enhance efficiency and accuracy. - Create, maintain, and optimize Tableau dashboards for reporting and data visualization purposes. - Analyze transportation data to identify trends, performance metrics, and opportunities for process enhancement. - Collaborate with cross-functional teams to gather requirements and align analysis with business objectives. - Prepare impactful presentations using PowerPoint to communicate findings, trends, and actionable insights to stakeholders. - Identify data discrepancies, implement quality control measures, and suggest system or process improvements. - Support strategic initiatives by providing detailed data analysis and forecasting models. - Continuously assess and scale analytics solutions to meet changing business requirements. - Stay abreast of best practices in data analytics, visualization, and transportation operations. Qualifications: - Education: Bachelor's degree in Data Science, Business Analytics, Computer Science, Transportation Management, or a related field. - Experience: Minimum of 3 years in a data analyst or related role with demonstrated expertise in Tableau and PowerPoint. - Technical Skills: Proficiency in Excel (including VBA and macros), data modeling tools (SQL, etc.), strong knowledge of Tableau, and familiarity with automation tools and frameworks. - Soft Skills: Excellent analytical and problem-solving abilities, strong written and verbal communication skills, ability to manage multiple projects, attention to detail, and a commitment to data accuracy and quality. Preferred Qualifications: - Experience in cost analysis, logistics, or supply chain optimization. - Knowledge of advanced statistical methods and predictive modeling. - Familiarity with transportation planning or fleet management software.,

As a Machine Learning Engineer, you will be responsible for designing and deploying machine learning solutions. Your role will require deep expertise in algorithms, proficiency in programming languages like Python, and familiarity with specialized frameworks. You will lead complex machine-learning projects, make critical architectural decisions, optimize models for performance, and collaborate with interdisciplinary teams. Additionally, you will contribute to cutting-edge research, develop innovative solutions, and stay updated with the latest advancements in the field to deliver impactful and state-of-the-art machine learning applications. Your key responsibilities will include designing and programming machine learning methods, integrating them into our ML framework/pipeline, evaluating and validating the analysis using statistical methods, and presenting the findings in a clear manner to individuals not well-versed in data science/computer science. You will also need to stay abreast of the latest trends in machine learning, deep learning, and related fields, as well as collaboratively design and implement machine learning systems and infrastructure to drive successful outcomes. To qualify for this role, you should ideally hold a B.E./B.Tech/M.E./M.S./M.Tech/PhD in fields related to Computer Science, coupled with experience in machine learning, image, and signal processing, or statistics. A background in recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing, along with at least 2 years of professional work experience dealing with real-world data, will be advantageous. Strong programming skills and knowledge of software engineering concepts, familiarity with machine learning libraries like Tensorflow, Jax, Keras, Scikit-learn, and PyTorch, as well as excellent mathematical abilities including accuracy, significance tests, advanced probability concepts, and linear algebra are essential. Moreover, the ability to conduct independent and collaborative research and excellent written and verbal communication skills are also key requirements for this role.,

As the VP, Analytics Scalable Marketing Measurement at Synchrony, you will play a crucial role in developing and implementing a comprehensive analytics roadmap for scalable measurement tools. Your responsibilities will include designing and leading the development of measurement techniques and tools, collaborating cross-functionally with various teams, driving adoption through insights and tool enhancements, and being hands-on in data and analytics. Additionally, you will provide mentorship to team members, lead internal initiatives, and perform other duties as assigned. To excel in this role, you should have a degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative field with at least 10 years of relevant analytics/data science experience. You should possess strong expertise in SQL/SAS, BI tools such as Power BI and Tableau, marketing analytics, statistical methods, A/B testing, and multivariate testing. Your proficiency in MS-Excel and MS-PowerPoint, along with superior data analysis and stakeholder management skills, will be essential for success. Desired characteristics include superior thought leadership, storytelling abilities, an innovative mindset, experience with Python and R in a cloud environment like AWS, and modeling/forecasting skills. The role offers enhanced flexibility and choice, with work timings between 06:00 AM and 11:30 AM Eastern Time, anchored to US Eastern hours. The position is remote, providing the option to work from home. If you are an internal applicant, ensure you meet the eligibility criteria, inform your manager and HRM before applying, update your professional profile, and confirm there are no corrective action plans in place. This role is specifically for L10+ employees who have completed 18 months in the organization and 12 months in their current role and level. Overall, as the VP, Analytics Scalable Marketing Measurement, you will be instrumental in driving the development and adoption of centralized measurement capabilities to enable data-driven decision-making and campaign optimization at Synchrony.,

Your Job We are expanding our in-house Engineering team and are on the lookout for a skilled High-Current Terminal and Cavity Design Engineer to join us. If you&aposre eager to fast-track your career and become a part of an exceptional company, this opportunity might be perfect for you. What Will Put You Ahead As a High-Current Terminal and Cavity Design Engineer, you will spearhead the development of new terminal and connector products for the automotive industry, guiding them through all stages of the product development lifecycle to transition concepts into production. Additionally, you will assist with modifications and extension work for existing products and contribute to research and development initiatives within the High-Current automotive sector. What You Will Do Lead automotive High-Current terminal and cavity concept development activities with minimal guidance from the Engineering Manager. Collaborate with design engineers to develop 3D models and drawings that adhere to Molex standards and GD&T methodology. Plan and lead DFMEAs, FEAs, tolerance analysis, and other theoretical studies. Develop mitigation plans for areas of risk. Direct documentation of the project scope, requirements, feasibility, and engineering work plan. Manage material selection and justification, focusing on resins for plastic injection molding and metals for stamping components. Develop High-Current Terminal/cavity test plans (DVP&Rs) and evaluate results using statistical methods. Lead failure analysis using structured problem-solving methods. Act as the engineering voice to cross-functional teams and customers, ensuring design objectives are met and identifying/directing R&D opportunities in High-Current connectors. Who You Are (Basic Qualifications) Proven ability to manage project scopes, requirements, and engineering work plans. German and/or French At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate&aposs knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. Who We Are At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results. Show more Show less