1575 Predictive Modeling Jobs - Page 7

You are a professional with over 5 years of experience in data science, focusing on predictive modeling and optimization. Your expertise includes hands-on experience in Data Science on GCP, Generative AI fundamentals, and proficiency in Python (and/or R), SQL, and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. You have a strong understanding of Cloud Architecture and the deployment of data solutions in cloud ecosystems like Azure, GCP, and AWS. Additionally, you have experience in deploying ML models in production using tools like MLflow, Kubeflow, Docker, and Kubernetes. Your proven expertise encompasses machine learning, mathematical optimization, and NLP techniques, including LP, IP, genetic algorithms, RL, and familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering. You also possess a strong grasp of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Excellent communication skills and the ability to collaborate effectively with cross-functional teams are essential for this role. Your responsibilities in this role include writing and reviewing high-quality code, understanding clients" business use cases and technical requirements to translate them into technical designs, mapping decisions with requirements, identifying and narrowing down the best solutions, defining guidelines and benchmarks for NFR considerations during project implementation, writing design documents, reviewing architecture and design aspects, developing and designing solutions for functional and non-functional requirements, understanding technology integration scenarios, resolving issues raised during code/review through systematic analysis, and carrying out POCs to ensure suggested designs/technologies meet requirements. You hold a Bachelor's or Master's degree in computer science, Information Technology, or a related field.,

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. Interact with C-level at our clients on a regular basis to drive their business towards impactful change. Lead your team in creating new business solutions. Seize opportunities at the client and at Metyis in our entrepreneurial environment. Become part of a fast-growing international and diverse team. Lead and manage the delivery of complex data science projects, ensuring quality and timelines. Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions. Design solution architectures and guide the technical approach across projects. Align technical deliverables with business goals, ensuring data products create measurable business value. Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences. Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle. Collaborate with cross-functional teams to ensure smooth integration and deployment of solutions. Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI. 6+ years of experience in delivering full-lifecycle data science projects. Proven ability to lead cross-functional teams and manage client interactions independently. Strong business understanding with the ability to connect data science outputs to strategic business outcomes. Experience with stakeholder management, translating business questions into data science solutions. Track record of mentoring junior team members and creating a collaborative learning environment. Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability. Experience managing project roadmaps, resourcing, and client communication. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like Pandas and Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations. Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications. Core Competencies: Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like Mlflow, model deployment, API integration, and CI/CD pipelines. Hands-on experience with MLOps and model governance best practices in production environments. Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions. Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).,

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

At Improzo, we believe in improving life by empowering our customers. Founded by seasoned industry leaders, we are dedicated to delivering quality-led commercial analytical solutions to our clients. Our team of experts in commercial data, technology, and operations is committed to evolving and learning together since our inception. At Improzo, you will have the opportunity to collaborate with brilliant minds, work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like yourself. Our success is driven by our CARE values framework, where we prioritize customer needs and outcomes, pursue bold and innovative avenues, foster a culture of collaboration and respect, and maintain a laser focus on quality-led execution. We are currently seeking a highly motivated RWE-HEOR-Patient Analytics Specialist at various levels to join our dynamic team. In this role, you will leverage Patient Analytics, Real-World Evidence (RWE), and Health Economics & Outcomes Research (HEOR) methodologies to drive impactful insights and support life sciences clients in optimizing patient outcomes, decoding patient journeys, and refining healthcare strategies. Your responsibilities will include leading patient journey analytics and segmentation, developing predictive patient models, analyzing patient-reported outcomes, integrating real-world data, conducting health economics evaluations, implementing advanced patient analytics solutions, engaging with clients to translate insights into actionable strategies, leading projects, mentoring team members, and contributing to thought leadership in patient analytics. Qualifications: - Bachelor's or Master's degree in Data Science, Biostatistics, Health Informatics, Epidemiology, Health Economics, Public Health, or related quantitative fields with an emphasis on patient-centered research. - 3-9 years of experience in Patient Analytics, Digital Health Analytics, RWE, and HEOR, preferably within the pharmaceutical, consulting, or healthcare industries. - Proficiency in statistical software and programming languages (Python, R, SAS, SQL), machine learning applications, data visualization tools, healthcare databases, patient privacy regulations, and clinical trial data utilization. - Experience with patient cohort identification, patient engagement analytics, care pathway optimization, treatment sequence analysis, patient risk scoring, population health management, and integration of RWE and HEOR principles. - Strong analytical and problem-solving abilities, excellent communication skills, collaborative approach, adaptability, continuous learning mindset, and ethical approach to patient data handling. Benefits: - Competitive salary and comprehensive benefits package. - Leadership opportunities in patient analytics, RWE, and HEOR initiatives. - Career development in the rapidly growing patient analytics and precision medicine field. - Collaborative environment with opportunities to impact patient care and outcomes. - Exposure to innovative healthcare technologies and global life sciences industry trends. - Professional development support including conferences, certifications, and advanced training in patient analytics, RWE, and HEOR methodologies.,

We are looking for a highly skilled Technical Data Analyst to be a part of our growing team. This role demands a strong technical background in Oracle PL/SQL and Python, along with proficiency in data analysis tools and techniques. The ideal candidate should possess strategic thinking abilities and a track record of leading and mentoring data analyst teams. You will play a crucial role in delivering data-driven insights and contributing to important business decisions. Additionally, you will be responsible for exploring and assessing emerging AI tools and techniques for potential application in data analysis projects. As a Technical Data Analyst, your key responsibilities will include designing, developing, and managing complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes. You will utilize Python scripting for data analysis, automation, and reporting purposes. Conducting thorough data analysis to identify trends, patterns, and anomalies will be essential in providing actionable insights to enhance business performance. Collaboration with cross-functional teams to comprehend business requirements and translating them into technical specifications will also be part of your role. You will be instrumental in establishing and maintaining data quality standards to ensure data integrity across various systems. Furthermore, leveraging data analysis and visualization tools such as Tableau, Power BI, and Qlik Sense to create interactive dashboards and reports for business stakeholders will be a key aspect of your responsibilities. It is crucial to stay updated with the latest data analysis tools, techniques, and industry best practices, including advancements in AI/ML. As a Technical Data Analyst, you will be required to research and evaluate emerging AI/ML tools and techniques for potential application in data analysis projects. Preferred Qualifications: - Hands-on experience as a Technical Data Analyst (not a business analyst) with expertise in Oracle PL/SQL and Python programming to interpret analytical tasks and analyze large datasets. - Proficiency in Python scripting for data analysis and automation. - Expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense. - Awareness and understanding of AI/ML tools and techniques in data analytics, including machine learning algorithms, natural language processing, and predictive modeling. - Practical experience in applying AI/ML techniques in data analysis projects is considered a plus. - Strong analytical, problem-solving, communication, and interpersonal skills. - Experience in the financial services industry is preferred. This role is suitable for a Data Scientist with expertise in Python, Cloud technologies, and advanced data analytics. Detailed job description will be provided to HR for updating this posting.,

The company is seeking a skilled and motivated Data Scientist to join the global team at Sloan and contribute significantly to the development of advanced AI platforms supporting Sales, Marketing, and Operations. In this role, you will lead and coordinate data science initiatives with the offshore team in India. Your responsibilities will include designing, constructing, and deploying AI models utilizing Python, R, SQL, and Java, with a particular emphasis on LLMs, forecasting, and customer analytics. By conducting statistical analysis, predictive modeling, and machine learning, you will address practical business challenges such as marketing and sales targeting enhancements, demand forecasting, customer retention modeling, operational efficiency enhancements, cost reduction strategies, advanced reporting, and insights generation. Additionally, you will be tasked with creating clear, compelling data visualizations and conveying insights to non-technical stakeholders. Collaboration with global teams, as well as managing and mentoring the data team in India, will be essential. Ensuring synchronization between U.S. business priorities and the Indian execution teams, taking charge of project schedules, task management, and quality assurance for deliverables will also fall under your purview. Qualified candidates should possess 5-7 years of hands-on experience in Data Science or a related field, advanced programming proficiency in Python, R, Java, and SQL, familiarity with machine learning models, statistical analysis, and data visualization tools, and experience in working with or developing solutions using LLMs. Demonstrated ability to utilize Cloud Services for analytics, previous experience leading or managing data analytics teams, excellent verbal and written communication skills, fluency in English, proactive self-starting abilities, and a bachelor's or master's degree in Computer Science, Engineering, Statistics, Mathematics, Artificial Intelligence, or a related field are necessary. Ideal candidates will reside within a one-hour commute of Sloan, Gurugram, India, and must be available for a full-time, in-office role as remote or hybrid options are not provided. Comfort working in a fast-paced, global environment with U.S.-based colleagues, experience in Multinational Companies (MNC), a self-starting, curious and open-minded attitude towards learning new concepts are preferred. This position requires working in the U.S. shift from 02:00 PM IST to 10:30 PM IST.,

Your responsibilities include leading a team of 10+ associates to support key deliverables for Region Europe, promoting a data-driven decision-making culture through coaching, mentoring, and introducing industry best practices and external perspectives. You will conceptualize, design, and develop advanced analytics projects and proof of concepts on prioritized use cases incorporating multiple data sources. Additionally, you will design and implement automated data workflows for complex datasets, collaborating with business and IT teams to expand automation and integrate it with existing systems. Your role will involve overseeing data integration across multiple teams to ensure insights are aligned with business priorities and performance objectives. Collaboration with cross-functional global teams to ensure accurate delivery of key projects is also a key aspect of your responsibilities. You will provide thought leadership to foster a culture of data-driven decision-making, identify best practices across the organization and industry, and provide inputs to the team and the broader community. Your role will involve driving data-driven innovation and supporting operational excellence through simplification and automation initiatives. To be successful in this role, you will need a Master's or bachelor's degree in Data Analytics, Data Science, Business, or Engineering; an MBA from a reputed institute is preferred. You should have 10+ years of experience in Data Analytics or related fields, with specific experience in producing insights for senior management and building statistical models to address business issues. Experience in Commercial Analytics in the Pharma or Life Sciences industry is preferred. Additionally, you should have experience working with large datasets, data visualization tools, statistical software packages, and platforms, specifically Python, advanced SQL, Snowflake, AWS, Databricks, PowerBI, and Alteryx. Demonstrated experience in designing and delivering insights using statistical models, AI/ML, including GenAI, is a significant plus. Experience deploying predictive models, user-centric dashboards, cloud-based ELT pipelines, simulation, and optimization models is also a significant plus. Proficiency in project management tools and practices, as well as high proficiency in MS-Excel and PPT, is required. In this role, you will receive benefits such as flexible working arrangements, learning and development opportunities, and more. Join Sandoz, a leader in the Generic and Biosimilar medicines sector, where you can contribute to touching the lives of millions of patients worldwide. Shape the future of Sandoz by leveraging new development capabilities, state-of-the-art production sites, acquisitions, and partnerships to increase access to low-cost, high-quality medicines sustainably. Experience an open, collaborative culture driven by talented and ambitious colleagues, where diversity is welcomed, and personal growth is encouraged. Embrace an agile and collegiate environment with impactful, flexible-hybrid career opportunities. The future is in your hands at Sandoz!,

Job Description: As a leader at a Fortune Global 500 organization, you will be responsible for advocating various data science teams on best practices surrounding the development and implementation of advanced analytic systems and predictive and prescriptive models. Working closely with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects, you will play a crucial role in creating and delivering insights from large and disparate data to enable confident business decisions. Your role will involve evaluating and adopting emerging technologies that support statistical modeling, machine learning, distributed computing, and run-time performance tuning to optimize processes and introduce new products and services to the market. Additionally, you will support senior leadership by planning and executing broad advanced analytics initiatives aimed at delivering value to both internal and external stakeholders. Furthermore, you may also be involved in managing people within the department. Responsibilities: - Lead and oversee the data analysts, data scientist team, machine learning engineers, and big data specialists to implement models and systems that provide optimal results and are scalable to meet future business needs. - Serve as a subject matter expert on UPS business processes, data, and advanced analytics capabilities to define problems, data, and model requirements using proven predictive and prescriptive techniques. - Maintain a broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to develop strategies that support the creation, development, and delivery of analytic solutions aligned with business needs. - Prototype algorithms to ensure analytic results address problem statements and business requirements effectively. - Interpret and analyze large-scale datasets to uncover insights supporting the building of analytic systems and predictive models while experimenting with new and emerging techniques. - Identify and evaluate cutting-edge open-source, data science/machine learning libraries, data platforms, and vendor solutions to prioritize and plan data projects across the enterprise. - Provide thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, recommend courses of action, and design and implement solutions. - Advocate for best practices in the adoption of Cloud-AI technologies, open-source software, machine learning libraries/packages, and data science platforms to derive actionable insights empowering business decisions. - Communicate effectively with business customers and the senior leadership team with varying levels of technical knowledge, educate them about systems, and share insights and recommendations to inform business strategies. - Manage analytics projects/teams and act as a point of contact to ensure alignment of team actions and communication with stakeholders to keep projects on track with goals. Qualifications: - Ability to engage key business and executive-level stakeholders to translate business problems into high-level analytics solutions. - Extensive experience working with large-scale, complex datasets to develop machine learning, predictive, forecasting, and optimization models. - Proven track record of handling ambiguity, prioritizing needs, and delivering results in a dynamic environment. - Expertise in data management pipelines involving data extraction, analysis, and transformation using data querying languages (e.g. SQL, NoSQL, BQ) or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). - Hands-on experience in launching moderate to large-scale advanced analytics projects in production at scale; utilizing Cloud-AI technologies, machine learning frameworks, and enterprise data science platforms. - Ability to explain technical concepts to non-experts, strong analytical skills, attention to detail. - Direct experience in developing analytical solutions empowering business decisions and product creation using various techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP). - Excellent verbal and written communication skills with the ability to convey data through a story framework, present data-driven results to technical and non-technical audiences, and advocate technical solutions to diverse groups. - Master's Degree in a quantitative field such as mathematics, computer science, physics, economics, engineering, statistics, or equivalent job experience. Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.,

As a Data Scientist_VIS at Viraaj HR Solutions, you will play a crucial role in analyzing complex datasets to derive actionable insights and develop predictive models to address various business challenges. Your responsibilities will include collaborating with cross-functional teams to define data requirements, creating data visualizations and dashboards for effective presentation of findings, and conducting statistical analysis to identify trends and patterns. Additionally, you will be utilizing machine learning algorithms for data prediction, designing and maintaining databases to store large datasets, and gathering and preprocessing data for analysis. It will be essential for you to identify opportunities for process improvement based on data insights, ensuring data quality and accuracy throughout data handling processes, and supporting the implementation of data-driven strategies within the organization. To excel in this role, you should hold a Bachelor's or Master's degree in Data Science, Statistics, or a related field, along with proven experience as a Data Scientist or in a similar capacity. Strong programming skills in Python or R, experience with SQL databases and querying, and familiarity with big data technologies like Hadoop or Spark will be advantageous. Moreover, your expertise in machine learning algorithms, data visualization tools such as Tableau or Power BI, and statistical analysis techniques will be critical for success. As a valued member of our team, you will have the opportunity to work on big data technologies to enhance data processing capabilities, stay updated with the latest data science trends and technologies, and collaborate on research projects to explore innovative solutions. Your role will also involve mentoring junior data scientists and interns, necessitating exceptional analytical skills, attention to detail, and strong communication abilities to convey complex data insights to non-technical audiences effectively. If you possess skills in predictive modeling, team collaboration, cloud computing, data analysis, project management, problem-solving, and data quality assurance, along with a passion for continuous learning and adaptation in a fast-paced environment, we encourage you to apply. Join us in leveraging data management best practices and shaping the future of data science at Viraaj HR Solutions.,

You will play a crucial role as part of a team of scientists collaborating closely with external clients to develop efficient predictive models, analyze and validate production model behavior, and ensure optimal model performance. This role will provide opportunities to support the internal technology team in model development and engage in sales activities pertaining to the assessment of models for various client environments. Your contributions will involve building and assessing predictive and decision models for deployment in production systems or research. This encompasses analyzing extensive historical data, determining suitability for modeling, data cleanup and filtering, pattern identification, variable creation, selection of sampling criteria, defining and generating performance metrics, conducting experiments with diverse algorithms and models, and assessing performance to determine the most effective algorithms for implementation. You will assist in the deployment of models into production by conducting production data validations and analyzing score distributions of models in production. Additionally, you will apply data mining techniques to thoroughly analyze model behavior and provide support for customer meetings, model construction, and pre-sales activities. Managing projects within time and resource constraints, collaborating with other teams within FICO, and providing high-quality support to facilitate the integration and deployment of analytics software and solutions will also be part of your responsibilities. You may also participate in post-implementation support. The ideal candidate will possess an MS degree in a statistics, engineering, mathematics, computer science, physics, or operations research field. A PhD is preferred. Some relevant industry experience in predictive modeling and data mining or a PhD without related experience is desirable. Proficiency in Perl/Python, C, C++, or Java, along with familiarity with basic software design principles, coding standards, and best practices, is required. Experience in analyzing large datasets, applying data-cleaning techniques, and conducting statistical analyses to comprehend dataset structures is essential. Knowledge of Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, and SVM is preferred. We offer an inclusive culture that embodies our core values: Acting Like an Owner, Delighting Our Customers, and Earning the Respect of Others. You will have the opportunity to create an impact and enhance your professional growth by leveraging your unique strengths and engaging in valuable learning experiences. We provide highly competitive compensation, benefits, and rewards programs that encourage you to deliver your best every day and be acknowledged for your efforts. Our engaging, people-first work environment promotes work-life balance, offers employee resource groups, and hosts social events to foster interaction and camaraderie.,

As a Data Analyst & Insights professional, you will be responsible for analyzing large datasets from various sources to identify trends, patterns, and actionable insights that are crucial for media and business stakeholders. Your role will involve developing and maintaining dashboards, reports, and visualizations using BI tools like Tableau and Power BI. It will be essential to translate complex data findings into clear and compelling narratives for non-technical audiences. In addition to data analysis, you will design, implement, and maintain robust data pipelines and ETL processes to ensure data quality, integrity, and consistency across all analytics outputs. Collaboration with cross-functional teams to define KPIs, track performance, and identify optimization opportunities will also be a key aspect of your role. Your expertise in Media Analytics will be utilized to apply analytics to media metrics such as audience engagement, campaign performance, and content effectiveness. You will monitor and analyze key performance indicators specific to the media industry and contribute to creating performance reports for campaigns, brands, and channels. Stakeholder engagement will be another critical component of your role, requiring you to partner with business leaders, marketing, and product teams to understand data needs and deliver tailored analytics solutions. You will present insights and recommendations to senior management and external clients. Continuous improvement is encouraged in this role, and staying updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence is essential. You will identify and implement process improvements to enhance analytics efficiency and impact. To excel in this position, you should have 7-9 years of experience in data analysis, business intelligence, or related roles, preferably within the media industry. Proficiency in SQL for data querying and manipulation, experience in team management, and advanced knowledge of Python for data analysis, automation, and scripting are required. Hands-on experience with BI tools like Tableau and Power BI, familiarity with data visualization best practices, and strong statistical and analytical skills are also necessary. Excellent communication and presentation skills, the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment are essential for success in this role. Experience with cloud data platforms (AWS, GCP, or Azure) is a plus, as well as knowledge of media analytics platforms (e.g., Google Analytics, Adobe Analytics) and digital marketing metrics. An understanding of data governance, privacy, and compliance standards is also beneficial. A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field is preferred.,

As a Data Analyst at Highspot, you will play a crucial role in analyzing large and complex data sets to identify patterns, create new metrics, develop predictive models, build dashboards, and generate insights that drive business decisions. Your responsibilities will include analyzing core business topics using Highspot's product and business data, partnering with cross-functional teams to leverage statistics, machine learning, and operations research techniques, conceptualizing data pipelines with the Data Engineering team, defining top-level business metrics, and leading research to uncover new opportunities for analytics within Highspot's product and business. To qualify for this role, you should have an advanced degree (MS, BS) in Data Science, Computer Science, Artificial Intelligence, Statistics, or related quantitative fields. You should also have 6+ years of experience using SQL, 2+ years of experience with Tableau, 6+ years of experience in Python and related analytics libraries, and 6+ years of experience in designing, developing, and deploying predictive models. Experience with git, AWS cloud technology, and working remotely with a U.S.-based team is preferred. The ideal candidate will have a demonstrable track record of dealing well with ambiguity, excellent communication skills, and empathy to support and contribute to the team's success. If you resonate with these requirements, we encourage you to hit the apply button and join us in revolutionizing how individuals work worldwide through intelligent content management and actionable analytics at Highspot.,

As a Data Scientist focused on R programming, you will be responsible for conducting analysis using the R statistical programming language. Working closely with the research team, your role will involve the creation, management, and analysis of extensive and intricate datasets. Your analytical tasks will encompass developing predictive models, conducting text data mining, and building customized statistical models. The ideal candidate for this position should hold a Master's degree in statistics, economics, mathematics, or a related field. Proficiency in R programming is essential, including the ability to code in R and a strong grasp of econometrics principles. Candidates with a minimum of 2 years of experience in R programming are preferred, although fresh graduates comfortable with R will also be considered. You should possess the capability to handle large datasets effectively and exhibit qualities such as high energy, a team-oriented mindset, and a positive attitude. Problem-solving skills are crucial, along with the ability to independently research and address partner inquiries promptly and efficiently. Collaboration is a key aspect of our work culture, where teamwork, mutual support, and knowledge-sharing are highly valued. In this role, you will be expected to develop analytical frameworks to assess information, situations, and data, distinguishing between critical and trivial aspects using the 80/20 principles. Strong numerical proficiency is essential for analyzing and interpreting data, enabling you to present insights in a clear and concise manner to your team, colleagues, and management. Building strong partnerships and fostering high-level relationships with partners is a key aspect of this position. You will be involved in developing new business opportunities and leveraging partnerships to drive growth and innovation. The compensation for this position is competitive and aligned with the best practices in the industry. Additionally, you will have the opportunity to receive ESOPs from one of the most successful fintech companies in India. This role offers a chance to make a meaningful impact on people's lives and contribute as a change agent in the banking services sector.,

As a MERN Stack Developer with TypeScript, you will be responsible for designing, developing, and maintaining web applications using the MERN (MongoDB, Express.js, React.js, Node.js) stack. You will work closely with our product and design teams to create scalable and efficient applications, ensuring high performance and responsiveness to requests from the front end. Key Responsibilities - Develop and maintain web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js) with TypeScript. - Collaborate with the product team to understand requirements and translate them into technical specifications. - Design and implement RESTful APIs and ensure seamless integration with front-end components. - Write clean, maintainable, and well-documented code. - Optimize applications for maximum speed and scalability. - Troubleshoot and debug applications to ensure optimal performance. - Participate in code reviews and provide constructive feedback to peers. - Stay updated with emerging trends and technologies in web development. Nice To Have - Experience working with weaviate or any other vector database. - Experience working with LLM models like OpenAI GPT, Anthropic's Claude. Job Types: Full-time, Permanent Benefits - Paid sick time Location Type: - In-person Schedule - Day shift Education - Bachelor's (Preferred) Experience - Total work: 2 years (Required) Work Location: In person,

As a Senior Scientist in Decision Sciences at Western Union, based in Pune, India, you will be a pivotal part of the team responsible for managing fraud losses and optimizing revenue opportunities for online transactions. Your role will involve developing and maintaining risk models and rules to safeguard customers and Western Union against fraudulent activities. Your primary responsibilities will include: - Developing real-time and batch risk models to screen online transactions and prevent fraudulent activities - Documenting and communicating model results and insights internally - Continuously evaluating and enhancing the effectiveness of risk models and rules - Analyzing online transaction data to identify opportunities for reducing losses and creating actionable plans to capitalize on these opportunities - Profiling customer behavior to enhance the performance of models and rules To be successful in this role, you should possess: - A Master's or Graduate degree in a quantitative field such as Statistics, Math, Operations Research, MS, M-tech, or B-tech - A minimum of 5 years of relevant experience, with a proven track record in using advanced quantitative and statistical techniques - Strong problem-solving and analytical skills - Excellent communication skills to convey fraud insights effectively - Proficiency in SQL and at least one of the Python/R programming languages, with a willingness to learn new tools and technologies on the job - Experience in developing predictive models such as logistic regression, decision trees, and machine learning techniques - Intermediate knowledge of Microsoft Excel/Power BI/PPT and exposure to cloud systems like AWS Sagemaker/Dataiku would be advantageous At Western Union, we are committed to making financial services accessible worldwide and transforming lives and communities. Join our diverse and customer-centric team to be part of the future of financial services. As a valued employee, you will have ample opportunities for skill development, career advancement, and a competitive compensation package. The role is categorized as Hybrid, allowing you to work flexibly between home and office, with a minimum requirement of three days in the office per week. If you are ready to contribute to the future of financial services and make a meaningful impact, apply now and be part of Western Union's mission to connect people and businesses globally.,

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization collaborating with top health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With over 1,300 professionals across twenty global locations, USP's core value of Passion for Quality drives its mission to strengthen the supply of safe, quality medicines and supplements worldwide. USP values inclusivity and fosters opportunities for mentorship and professional growth. Emphasizing Diversity, Equity, Inclusion, and Belonging, USP aims to build a world where quality in health and healthcare is assured. The Digital & Innovation group at USP is seeking a Data Scientist proficient in advanced analytics, data visualization, and machine learning to work on innovative projects and deliver digital solutions. The ideal candidate will leverage data insights to create a unified experience across USP's ecosystem. In this role, you will contribute to USP's public health mission by increasing access to high-quality, safe medicine and improving global health through public standards and programs. Collaborate with data scientists, engineers, and IT teams to ensure project success, apply ML techniques for business impact, and communicate results effectively to diverse audiences. **Requirements:** **Education:** Bachelor's degree in relevant field (e.g., Engineering, Analytics, Data Science, Computer Science, Statistics) or equivalent experience. **Experience:** - Data Scientist: 3-6 years hands-on experience in data science, machine learning, statistics, and natural language processing. - Senior Data Scientist: 6-10 years hands-on experience in data science and advanced analytics. - Proficiency in Python packages and visualization tools, SQL, and CNN/RNN models. - Experience with data extraction, XML documents, and DOM model. **Additional Preferences:** - Master's degree in relevant fields. - Experience in scientific chemistry or life sciences. - Familiarity with pharmaceutical datasets and nomenclature. - Ability to translate stakeholder needs into technical outputs. - Strong communication skills and ability to explain technical issues to non-technical audiences. **Supervisory Responsibilities:** Non-supervisory position **Benefits:** USP offers comprehensive benefits for personal and financial well-being, including healthcare options and retirement savings. USP does not accept unsolicited resumes from third-party recruitment agencies. Job Type: Full-Time.,

The Business Analytics Int Analyst is a developing professional role with the autonomy to solve complex problems independently. You will utilize your in-depth specialty knowledge and industry understanding to integrate with the team and other functions effectively. Your analytical thinking and proficiency in data analysis tools will be crucial in making informed judgments and recommendations based on factual information. Your role will involve dealing with variable issues that may have broader business impacts, requiring professional judgment in interpreting data and results. You will also need to communicate complex information in a systematic and understandable manner, demonstrating developed communication and diplomacy skills. The quality and timeliness of the service you provide will directly impact the effectiveness of your team and other closely related teams. Responsibilities: - Gather operational data from various cross-functional stakeholders to analyze past business performance. - Identify data patterns and trends to provide insights that enhance business decision-making capabilities. - Recommend actions for future developments, strategic business opportunities, and operational policy enhancements. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies. - Continuously improve processes and strategies by evaluating new data sources, tools, and capabilities. - Collaborate with internal and external business partners to build, implement, track, and enhance decision strategies. - Assess risks appropriately when making business decisions, ensuring compliance with laws, rules, and regulations. Role Description: - The role of Spec Analytics Intmd Analyst (C11) in the TTS Analytics team. - Reporting to the AVP or VP leading the team. - Working on multiple analyses throughout the year on business problems across the client life cycle for the TTS business. - Leveraging various analytical approaches, tools, and techniques to provide data-driven insights to business partners. - Contributing to ideation on analytical projects to tackle strategic business priorities. - Embracing ambiguity and open-ended questions as a core part of the team's work. Qualifications: Experience: - Bachelor's Degree with 6-8 years or Master's Degree with 4-6 years of experience in data analytics, or a relevant PhD. - Substantial experience in identifying and resolving business problems, utilizing text data, developing analytical tools, applying predictive modeling techniques, and working with diverse data sources. Skills: Analytical Skills: - Strong logical reasoning and problem-solving ability. - Proficiency in converting business problems into analytical tasks and deriving business insights from analytical findings. - Ability to work hands-on with data from big data environments. Tools and Platforms: - Prior experience with Graph databases like Neo4j and Vector database. - Proficiency in Python, PySpark, Hive, MS Excel, and PowerPoint. - Experience with PySpark and Tableau is a plus.,

We are looking for a highly skilled Technical Data Analyst to join our team. You should have a strong technical background in Oracle PL/SQL and Python, along with expertise in data analysis tools and techniques. As the ideal candidate, you will be a strategic thinker capable of leading and mentoring a team of data analysts. Your role will involve driving data-driven insights and contributing to key business decisions. Additionally, you will be responsible for researching and evaluating emerging AI tools and techniques for potential application in data analysis projects. Your responsibilities will include designing, developing, and maintaining complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading processes. You will also use Python scripting for data analysis, automation, and reporting. Performing in-depth data analysis to identify trends, patterns, and anomalies will be crucial in providing actionable insights to enhance business performance. Collaboration with cross-functional teams to understand business requirements and translating them into technical specifications is essential. You will also be tasked with developing and maintaining data quality standards, ensuring data integrity across various systems, and utilizing data analysis and visualization tools to create interactive dashboards and reports for business stakeholders. Preferred qualifications for this role include hands-on experience as a Technical Data Analyst with expertise in Oracle PL/SQL and Python programming. Proficiency in Python scripting, expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense, and an understanding of AI/ML tools and techniques in data analytics are also desired. Practical experience applying AI/ML techniques in data analysis projects is considered a plus. Strong analytical, problem-solving, communication, and interpersonal skills are essential, along with experience in the financial services industry. Qualifications for this position include 0-2 years of relevant experience, proficiency in programming/debugging used in business applications, working knowledge of industry practice and standards, comprehensive knowledge of a specific business area for application development, and working knowledge of program languages. Consistently demonstrating clear and concise written and verbal communication is also important. A Bachelor's degree or equivalent experience is required for this role. The mandatory skills required are Ab Initio, Oracle PL/SQL, and Unix/Linux. A minimum of 2 years of hands-on development experience is necessary for this position. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi. Additionally, you can view Citis EEO Policy Statement and the Know Your Rights poster.,

As a Model Validation/Audit/Review Specialist at KGS, your primary responsibility will be to conduct validation, audit, and review of credit loss forecasting models within the retail or wholesale domain, specifically focusing on IFRS9/IRB models and their PD/EAD/LGD components. In this role, you will need to understand relevant regulatory requirements, review development documentation, perform testing and benchmarking, create challenger models using SAS, R, or Python, and prepare comprehensive reports. Your duties will also include providing support for other model validation activities related to Underwriting scorecards, Credit Scoring, behavioral models, economic scenario models, and validation-related automation tasks as required. You will be responsible for assessing the conceptual soundness of models, critically evaluating testing conducted by developers, ensuring model integrity and accuracy, evaluating predictive power and robustness, and ensuring compliance with regulatory standards. Collaboration with seniors, AMs, and Managers will be essential to meet key project deliverables. You will be expected to take ownership of key deliverables, engage with Partners/Directors to understand project scope and business requirements, and coordinate with onshore and offshore teams for successful project delivery. Additionally, you will provide advice to non-audit clients on the implications of evolving provision accounting standards (IFRS9) and help them validate or develop credit risk measurement models. Qualifications for this role at KGS include an advanced degree in Mathematics, Statistics, Economics, or other analytical disciplines. Alternatively, a graduate degree along with an MBA in Finance and relevant experience or exposure will be considered. Additional certifications such as FRM or CFA are preferred. Ideal candidates should have 2-12 years of experience in Risk Management/Analytics at major banks, top-tier consulting firms like Big 4, or captives of well-known banks. Proficiency in programming languages such as Python, SAS, and R is required. Advanced skills in statistical and quantitative modeling, including various techniques like linear regression, logistic regression, ARIMA, Markov Chain, Merton Model, CHAID, and other predictive modeling methods, are essential. In-depth knowledge of regulatory requirements related to model risk management, such as SR11-7, SR15-18, PRA, and EBA guidelines, is also expected.,

As a Level 9 Industry and Functional AI Decision Science Consultant at Accenture Strategy & Consulting within the Global Network - Data & AI team, your primary responsibility will be to assist clients in the Comms & Media - Telecom practice by designing and implementing AI solutions for their business needs. You will leverage your expertise in the Telco domain, AI fundamentals, and hands-on experience with large datasets to deliver valuable insights and recommendations to key stakeholders. Your role will involve proposing solutions based on comprehensive gap analysis of existing Telco platforms, identifying long-term value propositions, and translating business requirements into functional specifications. By collaborating closely with client stakeholders through interviews and workshops, you will gather essential insights to address their unique challenges and opportunities. In addition to understanding the current processes and potential issues within the Telco environment, you will be responsible for designing future state solutions that leverage Data & AI capabilities effectively. Your ability to analyze complex problems systematically, anticipate obstacles, and establish a clear project roadmap will be crucial to driving successful outcomes for clients. Furthermore, you will act as a strategic partner to clients, aligning their business goals with innovative AI-driven strategies to enhance revenue growth and operational efficiency. Your expertise in storytelling through data analysis will enable you to craft compelling narratives that resonate with senior stakeholders and drive informed decision-making. To excel in this role, you should possess a minimum of 5 years of experience in Data Science, with at least 3 years dedicated to Telecom Analytics. A postgraduate degree from a reputable institution and proficiency in data mining, statistical analysis, and advanced predictive modeling techniques are essential qualifications for this position. Your hands-on experience with various analytical tools and programming languages, such as Python, R, and SQL, will be instrumental in delivering impactful solutions to clients. As a proactive and collaborative team player, you will actively engage with cross-functional teams, mentor junior members, and uphold a high standard of excellence in client interactions. Your strong analytical skills, problem-solving capabilities, and ability to work independently across multiple projects will be key to your success in this dynamic and fast-paced environment. While cloud platform certifications and experience in Computer Vision are considered advantageous, your commitment to continuous learning and staying abreast of industry trends will be highly valued in this role. Overall, your dedication to delivering value-driven AI solutions and fostering long-lasting client relationships will be instrumental in driving success for both Accenture and its clients.,

As a Consultant at Accenture Strategy & Consulting in the Global Network - Data & AI team under the Banking & Financial Services Analytics practice, you will play a crucial role in helping clients leverage analytics to drive business growth and achieve high performance through data-driven insights. Your expertise in financial services industry, management, and technology will be instrumental in providing strategic solutions to address various challenges and demands in the industry. You will work with leading financial services organizations across Central Banks, Banking, and Capital Markets, assisting them in developing analytical capabilities that enable better decision-making, strengthen customer relationships, and outperform competitors. Your contributions will have a direct impact on shaping the future of the global financial services industry. In this role, you will have the opportunity to collaborate closely with clients to understand their business objectives, develop data strategies aligned with industry best practices, and deliver actionable insights to drive business success. Your responsibilities will include identifying key business questions, performing data collection and ETL, conducting analyses using statistical, machine learning, and mathematical techniques, and implementing predictive models to assess and manage financial risks. Moreover, you will be involved in building predictive models to maximize Customer Lifetime Value, supporting targeted retention and acquisition strategies, responding to RFPs, designing POVs, and working on Generative AI solutions using ML and GenAI in collaboration with client teams. Additionally, you will be responsible for implementing data security measures to protect sensitive financial information and ensure compliance with industry standards. By joining Accenture's dynamic and diverse data science community, you will have the opportunity to enhance your skills, explore new areas of expertise, and work with prestigious financial clients globally. You will have access to cutting-edge technologies and resources that will empower you to drive innovation and make a meaningful impact in partnership with some of the world's most recognizable companies.,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. As a member of our team, you will partner with HR business leaders to understand their unique challenges and objectives, offering tailored analytics solutions. You will provide ongoing consultation, interpreting data findings in the context of organizational goals and industry benchmarks. Additionally, you will craft compelling narratives around data insights, translating technical findings into actionable business language. You will be responsible for developing and delivering insightful presentations to executive leadership, fostering a data-informed culture. Upholding the highest standards of data ethics is crucial, ensuring compliance with privacy regulations and promoting responsible data stewardship. You will also champion ethical considerations in the application of analytics to HR decision-making. To qualify for this role, you should have an advanced degree in HR, Statistics, Data Science, or a related field. Proven experience in a consulting or advisory role focused on HR analytics and workforce planning is required. Expertise in statistical analysis, predictive modeling, and data visualization tools is essential. Strong business acumen with the ability to align analytics initiatives with organizational strategy is a key requirement. Exceptional communication and influencing skills are also necessary. The ideal candidate will have at least 2+ years of experience in HR analytics roles, demonstrating a track record of driving impactful organizational change through data-driven insights. At Capgemini, we value flexible work arrangements to provide support, whether it's remote work or flexible work hours, to help maintain a healthy work-life balance. We are committed to supporting your career growth with an array of career growth programs and diverse professions that will help you explore a world of opportunities. You will also have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner that helps organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a strong heritage of over 55 years, Capgemini is trusted by clients to unlock the value of technology to address the entire breadth of their business needs. The Group reported 2023 global revenues of 22.5 billion and comprises a responsible and diverse group of 340,000 team members in more than 50 countries.,

As a Data Strategy Lead within our Retail/FMCG/Manufacturing/Energy and Distribution/Publishing organization, you will be responsible for developing and implementing data strategies that align with the business objectives. Your key responsibilities will include collaborating with stakeholders from various departments to identify data needs, integrating data from multiple sources, implementing automation solutions for streamlined processes, and leading data analysis efforts to identify opportunities for improvement. You will provide insights and recommendations based on data analysis to support our organization's strategy and decision-making processes. Additionally, you will ensure compliance with data privacy regulations and industry standards, define and track key performance indicators for operations, utilize predictive modeling techniques, and work closely with the IT team to ensure data integrity and security. To be successful in this role, you should hold a Bachelor's degree in Computer Science, Information Systems, Statistics, Data Management, Business Administration, or a related field. A master's degree is preferred. You should have experience playing a lead role in at least 3 BI and Analytics implementation projects and possess a strong understanding of Retail/FMCG/Manufacturing/Energy and Distribution/Publishing operations. Proficiency in data lake technologies such as AWS / Google / Snowflake, as well as data analysis tools like SQL, Python, R, SAS, Power BI, Tableau, or similar is required. Experience with data integration, ETL processes, data warehouse concepts, and knowledge of advanced analytics skill sets like Machine Learning and AI will be advantageous. Strong communication and collaboration skills are essential, along with excellent analytical and problem-solving abilities. You should also have knowledge of data privacy regulations and compliance requirements relevant to the Retail/FMCG/Manufacturing/Energy and Distribution/Publishing industry. Certifications in data management, business intelligence, or related areas will be a plus. In summary, as our Data Strategy Lead, you will play a crucial role in driving data-driven decision-making processes, optimizing operations, and enhancing overall business performance within our Retail/FMCG/Manufacturing/Energy and Distribution/Publishing organization.,

The Lead, Customer Data Insights & Analytics role based in Bangalore involves transforming the approach towards understanding and acting upon customer feedback. This strategic position requires a combination of operational expertise, data storytelling, and cross-functional leadership to enhance the overall customer journey. Your primary focus will be on driving data-driven decisions, optimizing customer-facing processes, and enhancing customer experiences throughout the organization. In this role, you will be responsible for various key areas: Customer Insights & Analytics: Establish a centralized insights engine to interpret various data sources such as NPS, CSAT, digital behavior, support interactions, and operational data. Collaborate with different teams to implement predictive models for identifying churn risk, advocacy, and engagement patterns. Develop and maintain CX dashboards and reporting tools to highlight trends, pain points, and improvement opportunities. Process & Experience Optimization: Identify and address pain points in the customer journey by leveraging automation, AI, and workflow enhancements. Lead initiatives aimed at optimizing tools, systems, and processes used by various teams including Support, Success, Academy, and Product. Document scalable workflows, survey schedules, and insight-to-action processes. CX Technology & Innovation: Evaluate and implement new technologies such as AI, automation platforms, and feedback tools to enhance customer listening and response mechanisms. Work closely with engineering and IT teams to enhance data architecture and feedback flow integration using platforms like Salesforce, Gainsight, and Qualtrics. Strategic Enablement: Provide insight-driven recommendations to senior leadership and stakeholders to influence product, GTM, and service strategies. Develop quarterly CX business reviews and customer narratives supported by data. Promote a culture of operational excellence and continuous improvement within the CX domain. The ideal candidate for this role should possess: - 5+ years of experience in customer experience, business operations, or data strategy roles, preferably within a B2B SaaS or tech environment. - Demonstrated ability to translate data into strategic insights, particularly in areas like NPS, CSAT, churn, and engagement metrics. - Proficiency in Salesforce, BI tools (Power BI, Tableau, Domo, Looker), and customer feedback platforms such as Qualtrics and Medallia. - Familiarity with AI and automation concepts in CX, including sentiment analysis, predictive scoring, and journey analytics. - Strong project management skills and the ability to collaborate effectively across functions. - A Bachelor's degree in Business, Analytics, Engineering, or related field (MBA preferred). - Excellent communication and stakeholder engagement skills within a global matrixed environment.,

BitQCode Capital is a leading algorithmic trading hedge fund specializing in high-frequency trading, quantitative strategies, and cutting-edge AI-driven market analysis. We manage a multi-million-dollar portfolio and execute millions of trades per month across global markets. Our team consists of top-tier quants, engineers, and traders, leveraging AI to develop sophisticated, automated trading models. We are looking for an AI Quantitative Researcher with a proven track record of applying Artificial Intelligence (AI) and Machine Learning (ML) in financial markets. The ideal candidate should have hands-on experience designing, training, and deploying AI-driven trading models that generate alpha across asset classes. This role requires expertise in deep learning, reinforcement learning, NLP for market sentiment analysis, and predictive modeling for market movements. You will collaborate closely with our quant traders, data scientists, and software engineers to enhance existing trading models and develop new AI-driven strategies. Key Responsibilities: - Research, design, and implement AI-powered trading algorithms to predict market movements and optimize execution. - Develop and train machine learning models using historical and real-time market data to identify profitable trading opportunities. - Utilize reinforcement learning and deep learning techniques (e.g., LSTMs, Transformers, CNNs) for predictive modeling in financial markets. - Leverage NLP and sentiment analysis to extract insights from news, social media, and alternative data sources for trading signals. - Optimize AI models for real-time decision-making and high-frequency trading strategies. - Conduct backtesting and live simulations to evaluate model performance under different market conditions. - Work with large-scale financial datasets, leveraging cloud-based AI/ML infrastructure for processing and computation. - Stay up to date with cutting-edge AI research and continuously improve trading models to adapt to evolving market conditions. - Collaborate with software engineers to integrate AI models into automated trading systems for live execution. Requirements: - Strong proficiency in AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, etc. - Experience in trading-focused AI applications: Reinforcement learning (RL), supervised/unsupervised learning, deep learning, and probabilistic modeling. - Programming expertise: Python (NumPy, Pandas, SciPy, Dask), C++ (for low-latency execution is a plus). - Financial market knowledge: Experience in trading stocks, options, futures, crypto, or FX using AI-driven models. - Big data processing & analysis: Proficiency in working with time-series data, high-frequency tick data, and alternative datasets. - Experience with backtesting frameworks: Zipline, Backtrader, QuantConnect, Freqtrade, etc. - Database and cloud computing: SQL, NoSQL, Redis, AWS, GCP, or Azure for scalable AI infrastructure. Experience & Qualifications: - Minimum 3+ years of experience in AI-driven quantitative research and trading strategy development. - Prior experience in a hedge fund, proprietary trading firm, or financial institution building AI-based models. - A strong track record of building and deploying successful AI-driven trading strategies. - Advanced degree (Masters/PhD) in Computer Science, AI, Machine Learning, Quantitative Finance, Mathematics, or related fields. Nice to Have: - Experience in market microstructure modeling and order book dynamics. - Knowledge of options pricing, derivatives trading, and volatility modeling. - Experience integrating AI models into low-latency trading systems. - Contributions to AI research, open-source projects, or publications in AI/ML conferences.,