56 Arima Jobs - Page 3

Graduate Freshers & Experience. Must have Excellent communication Skills. Shifts - 24*7 Must have good knowledge of Excel. Salary - 3 LPA to 4.5 LPA. Both Side Transport. Sat Sunday Fixed Off. To Apply, Required Candidate profile . To Apply, Call or WhatsApp

Hi All, we infinx healthcare hiring quality auditors for payment posting department - Mumbai location, interested candidates can apply via jeeviya.s@infinx.com.please find the JD below. JD: Good communication skills. minimum 5 yrs experience in Payment posting is must. Quality experience is added advantage. Location -Turbhe, Hyderabad. Regards, HR Team.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager- Data Science Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Our Team As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Solutions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data-driven decision-making? Are you motivated to be part of a team that builds large-scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data science & analytics in the company? The Role Work closely with global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support data insights and analytical needs across products, markets, and services The candidate for this position will focus on Building solutions using Machine Learning and creating actionable insights to support product optimization and sales enablement. Prototype new algorithms, experiment, evaluate and deliver actionable insights. Drive the evolution of products with an impact focused on data science and engineering. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Perform data ingestion, aggregation, and processing on high volume and high dimensionality data to drive and enable data unification and produce relevant insights. Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions. Role Ensure that all AI solutions follow industry standards for data management and privacy, covering aspects like data collection, use, storage, access, retention, output, reporting, and quality at Mastercard. Take a practical approach to AI, simplifying complex technical requirements to align with stakeholders' needs. Collaborate with global stakeholders to gather necessary information and define business problems. Think creatively to link AI methodologies with real business challenges. Identify common use case patterns to promote scalable AI through reusable models and a microservice approach. Build AI/ML solutions using the latest advancements from industry and academia. Use both open and proprietary technologies to address business problems. Work effectively across teams and geographies, leveraging broader team expertise to achieve AI goals. Partner with technical teams to deploy solutions in production environments. Foster a culture of learning and continuous improvement in AI capabilities. All About You 8+ years in Data Science, with a focus on AI strategy, execution, and solution development from the ground up. A passion for AI, demonstrated through participation in competitions such as Kaggle. Preferred experience or familiarity with cybersecurity, fraud, and risk solutions, including: Deep learning algorithms, open-source tools, and statistical environments (Python, R, SQL). Big data platforms like Hadoop, Hive, Spark, and GPU clusters for deep learning. Classical machine learning techniques such as Logistic Regression, Decision Trees, K-Means, PCA, and Time Series models (ARIMA/ARMA). Deep learning techniques including Random Forest, GBM, Neural Networks (CNNs, LSTMs), and optimization techniques (Adam, Adagrad, etc.). Frameworks like TensorFlow, Keras, PyTorch, and XGBoost for production systems. Experience or exposure to collaboration tools like Confluence, Bitbucket, ALM, etc. Knowledge of the payments industry and experience with SAFe (Scaled Agile Framework) is a plus. Effectiveness Ability to manage assumptions and validate them with key stakeholders under tight deadlines, while keeping development on track. Strong problem-solving skills, with the ability to break down complex issues and apply the right AI techniques to solve them. Deep attention to detail, ensuring high confidence in developed solutions. Strong understanding of technical system architecture and interdependencies, anticipating challenges and proactively solving them. Core Capabilities Excellent written and verbal communication skills. Strong project management experience. Background in Computer Science. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-245889 Show more Show less

Flexing It is a freelance consulting marketplace that connects freelancers and independent consultants with organisations seeking independent talent. Flexing It has partnered with Our client, A leading global FMCG firm is seeking a detail-oriented and analytical Statistical Forecasting Analyst. The ideal candidate will be responsible for developing, maintaining, and improving statistical models to forecast demand, sales, or other key business metrics. This role requires strong analytical skills, proficiency in statistical software, and the ability to translate complex data into actionable insights that support strategic decision-making. Key responsibilities: ● Develop and maintain statistical models for short-term and long-term forecasting. ● Analyze historical data and identify trends, seasonality, and outliers to enhance forecast accuracy. ● Collaborate with cross-functional teams (e.g., sales, marketing, finance, supply chain) to understand forecasting requirements and business drivers. ● Perform scenario analysis and sensitivity testing to evaluate forecast robustness. ● Utilize software tools and programming languages (e.g., Python, R, SQL, Excel, SAS) for data manipulation and model development. ● Communicate forecasting results and insights through clear visualizations, dashboards, and presentations. ● Continuously refine forecasting processes and recommend improvements to enhance accuracy and efficiency. ● Monitor forecast performance using key metrics (e.g., MAPE, RMSE) and adjust models accordingly. ● Support demand planning or financial planning functions with accurate forecast inputs Skills required: ● Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Economics, or a related quantitative field. ● 3+ years of experience in statistical modeling, forecasting, or related analytics roles. ● Strong knowledge of time series analysis and forecasting methodologies (e.g., ARIMA, exponential smoothing, regression, machine learning approaches). ● Proficiency in statistical and data analysis tools such as Python, R, SQL, Excel, or SAS. ● Experience with data visualization tools like Power BI, Tableau, or similar. ● Strong problem-solving, critical thinking, and communication skills. ● Ability to work independently and collaboratively in a fast-paced environment Show more Show less

Company:- ABDOS Lamitubes Pvt. Ltd. (https://abdoslamitubes.com/) Position: - Safety Officer - EHS Experience: - 1 to 5+ Years Qualification: - Diploma/ B. Tech (Certificate Course of Industrial Safety from Govt. recognized) Salary:- Upto - 4.80 LPA Location:- Amingaon, Guwahati. Responsibilities: - Prepare and facilitate training on environment, health, and safety (EHS) measures imparted company. Should have experience on Hazardous waste management and statutory compliance of storage or Disposal of waste. Should have experience of consent management and hazardous disposal documentation. Should be aware about pollution control Board and liaisoning. EHS Documentation including SOPs, change controls, deviations, CAPA, validations, Data capturing etc. Expertise in GMP implementations, good practices in the organization, Environment Impact, and climate change Risk assessment & analysis, GHG emissions analysis, To organize safety committee meetings, drills and actively participate in the activities carried out regarding the safety in the concerned area. Significant solutions and implementing Environment, health safety management systems for maintaining sound environmental and safety conditions and development, repair, and modification of the plant. Role: - Planning and preparing EHS Calendar of all activities to be carried out during the year. Records related to EHS and MIS Compliance. Ensuring complete adherence to policies and sops related to EHS. EHS Awareness. Plant Development, Repairing and Modification. NOTE :- Manufacturing industry experience required only. Interested candidates can apply at neha.srivastava@abdoslmitubes.com or Whatsapp 8851314500 (Neha)

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Job Description We are looking for an experienced Data Scientist with a specialization in forecasting to join our data science team. The ideal candidate will have a deep understanding of statistical and machine learning techniques for time series forecasting and demand prediction. In this role, you will drive business value by developing accurate forecasting models and delivering actionable insights to optimize decision-making processes across the organization. Key Responsibilities Develop and implement advanced time series forecasting models to predict key business metrics (e.g., sales, demand, inventory, etc.). Analyze historical data to identify trends, seasonality, and other patterns that can be leveraged for accurate forecasting. Collaborate closely with client’s cross-functional teams such as Supply Chain, Finance, and Marketing to understand business needs and deliver tailored forecasting solutions. Build and optimize machine learning models for forecasting using state-of-the-art techniques (e.g., ARIMA, Prophet, LSTM, etc.). Design and run experiments to validate forecasting models and continuously improve their accuracy and reliability. Communicate complex data-driven insights and forecasting results to both technical and non-technical stakeholders. Ensure high-quality data inputs for forecasting models by working with data engineering teams to improve data collection, transformation, and integration processes. Stay current with the latest advancements in forecasting methodologies, tools, and techniques, and apply them to enhance existing models. Provide thought leadership in forecasting and predictive analytics, driving innovation within the data science team. Mentor junior team members and help establish best practices for forecasting across the organization. Qualifications Master’s or Ph.D. in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative field. 4+ years of experience in developing and deploying forecasting models in a business environment. Expertise in time series analysis and forecasting techniques, including ARIMA, SARIMA, Holt-Winters, and advanced machine learning methods like gradient boosting, neural networks (e.g., LSTM, GRU), etc. Proficiency in programming languages such as Python or R, with strong experience in data manipulation, model building, and statistical analysis. Hands-on experience with forecasting tools and libraries, such as Prophet, scikit-learn, TensorFlow, PyTorch, etc. Strong understanding of data structures, data wrangling, and working with large datasets. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and working in a distributed data environment is a plus. Excellent problem-solving skills and ability to translate complex data into actionable insights. Strong communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Experience with visualization tools like Tableau, Power BI, or similar to present forecasting outcomes. Ability to work independently and collaboratively in a fast-paced environment. Preferred Qualifications Experience with demand forecasting, sales forecasting, or supply chain optimization in industries such as retail, manufacturing, or finance. Familiarity with statistical testing and experimentation (e.g., A/B testing). Experience deploying models in production environments and collaborating with engineering teams to build scalable solutions. Previous experience in a consulting or client-facing role is a plus. Additional Information Thrive & Grow with Us: Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best—whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fuelled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.