2 Dimensionality Reduction Jobs nearby Pune

As a Mid Data Scientist at EY, you will be part of the PDT DD&T (Data, Digital & Transformation) team, leveraging advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Your role will involve collaborating with cross-functional teams, analyzing datasets, building predictive models, and helping shape data strategies to enhance organizational performance. You will support the Senior Data Scientist and team members in solving problems, analyzing data, and finding solutions. Additionally, you will play a key role in the design, development, and deployment of advanced statistics, data science, and Artificial Intelligence (AI/ML) solutions to solve complex business problems. - Support the Senior Data Scientist and team members in solving problems, analyzing data, and finding solutions. - Support in the design, development, and deployment of advanced statistics, data science, and AI/ML solutions to solve complex business problems. - Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations. - Ensure smooth, successful, and timely delivery of statistical/data science solutions, decision support solutions, and AI/ML products. - Bachelor's degree from an accredited institution in Statistics, Applied Mathematics, Data Science, Physics, Computer Science, Economics, or related quantitative fields (Master's degree preferred). - For a Master's or a PhD, a minimum of 1 year of AI/Machine Learning/Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries is expected (minimum 3 years of production-level experience after a bachelor's degree). - Understanding of applied statistical modeling, mathematical modeling, and ML techniques (e.g., Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing). - Programming & Data Engineering experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. - Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. - Strong presentation and communication skills, client service, and technical writing skills for both technical and business audiences.,

As a Staff Data Scientist in the Finance team at a global energy business, your role involves leading and contributing to sophisticated data analysis, modeling, and machine learning projects. Your primary responsibility is to extract actionable insights, drive strategic decision-making, and enhance business processes through data-driven solutions. - Conduct advanced data analysis and modeling techniques including feature selection, dimensionality reduction, and model evaluation. - Utilize domain knowledge to ask relevant questions and develop significant solutions. - Understand business operations, market dynamics, and financial implications to prioritize data science projects aligned with organizational goals. - Implement out-of-core computing techniques for processing large datasets. - Develop and implement machine learning strategies and models. - Communicate effectively with non-technical stakeholders and visualize findings for reporting purposes. - Stay updated on technical data science advancements and industry trends. - Ensure data ethics and privacy compliance through anonymization and pseudonymization. - Manage data science projects effectively, including planning and delivering results within set timelines. - Apply statistical analysis and mathematical concepts for data interpretation. Qualifications Required: - 10+ years of experience in data analysis with a master's degree or equivalent in Computer Science, Statistics, Mathematics, Physics, Engineering, or related field. - Proficiency in programming languages such as Python, SQL, and Azure data bricks. - Leadership qualities with the ability to steer a team and provide strategic direction. - Strong soft skills including active listening, problem translation, communication, and partnership. - Experience with data sources like SAP, Concur, Salesforce, Workday, and Excel files. - Certification in SQL, Machine Learning, or Azure data bricks is desirable. - Familiarity with tools and libraries such as Pandas, PySpark, NumPy, SciPy, NLP, and Fuzzy matching logic. - Experience with SAP systems and data structures. In this role, you may expect up to 10% travel, and relocation assistance is available within the country. The position offers a hybrid of office and remote working arrangements. Your employment may be contingent upon adherence to local policies, including pre-placement screenings and background checks.,

As a Senior Python Developer (Data Science, AI/ML) at HCL Software, you will play a key role in delivering AI-driven Marketing Campaigns through the innovative Unica+ Marketing Platform. This platform empowers clients to execute precise and high-performance marketing campaigns across various channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc., utilizing Data and AI as primary components for delivering hyper-personalized offers and messages. **Key Responsibilities:** - Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. - Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. - Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. - Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. - Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. - In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). - Proficiency with at least one major deep learning framework like TensorFlow or PyTorch, including understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. - Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. - Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. **Qualifications & Skills:** - At least 8-10 years of Python Development Experience with at least 4 years in data science and machine learning. - Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. - Experience with AWS SageMaker is advantageous. - Experience with LangChain, RAG for Generative AI is advantageous. - Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways. - Knowledge of REST, JSON, XML, SOAP is a must. - Ability to work well within an agile team environment and apply the related working methods. - Excellent communication & interpersonal skills. - A 4-year degree in Computer Science or IT is a must. *Please note that 30%+/- travel may be required for this position, and the preferred location is India, with Pune being the preferred city.* If you meet the qualifications and are interested in this exciting opportunity, please share your CV to monica_sharma@hcl-software.com along with your Current CTC, Expected CTC, and Notice Period. Shortlisted candidates will be invited for a virtual interview on 11th Oct Saturday.,

You will be joining Anshika Fasteners Pvt Ltd as a Market Insights and Business Data Analyst to contribute to data-driven decision-making and drive business growth. Your main responsibilities will include: - Analyzing market trends, competitor activities, and customer preferences to support product development, marketing strategies, and sales initiatives. - Gathering data from internal and external sources, developing reports, and maintaining dashboards to track key performance indicators (KPIs) for the company's growth. - Conducting in-depth analysis of customer data to understand purchasing patterns, customer satisfaction, and areas for improvement. - Monitoring and reporting on sales data by region, product line, and customer segments to provide insights into revenue drivers and potential growth areas. - Collaborating with finance and sales teams to forecast sales performance, analyze budget variances, and assess the financial impact of market trends. - Working closely with the business development and marketing teams to support strategic initiatives, including expansion plans with export clients. - Developing and maintaining a competitor intelligence system to track changes in market share, pricing, and customer acquisition strategies. - Analyzing production data, efficiency metrics, and supply chain performance to identify areas for cost optimization and process improvement. - Preparing clear and concise reports, presentations, and visualizations to communicate insights and recommendations to stakeholders. Your technical skills will include proficiency in programming languages such as Python, R, SQL, and AWS, as well as data analytics tools like Advanced Excel, Power BI, and Tableau. Additionally, you should have experience with databases like MySQL, PostgreSQL, and Microsoft SQL Server, and be familiar with machine learning techniques and tools. Qualifications required for this role include a Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, or a related field, with 3+ years of experience in data analysis, market research, or business intelligence. Strong analytical, problem-solving, and communication skills are essential, along with the ability to manage multiple projects simultaneously. Preferred qualifications include experience with predictive analytics and machine learning models, an understanding of the fastener industry or B2B manufacturing landscape, and experience working with international clients and knowledge of global market trends. Anshika Fasteners Pvt Ltd offers you the opportunity to contribute to strategic decision-making, a collaborative work environment focused on innovation and continuous improvement, and a competitive salary and benefits package. If you are passionate about turning data into insights and driving business success, we encourage you to apply today. To apply for this full-time position based in Nagpur, Maharashtra, please submit your resume and a cover letter detailing your relevant experience to info@anshikafasteners.com. Relocation to Nagpur or the ability to commute is required. Education: Bachelor's degree required Experience: 3+ years in data analysis, market research, or business intelligence required Location: Nagpur, Maharashtra (Preferred),

As a VP Electronic Trading/Algorithmic Trading, your role will involve analyzing and developing mathematical models for systematic quantitative trading strategies such as Electronic trading Algorithms, Market Making, Index Arbitrage, Execution Algorithms, Statistical Arbitrage, Portfolio Optimisation, and flow recommendation research. You will guide these models through the entire development lifecycle, including preparing high-quality documentation and driving them through the internal model review and approval process. Your responsibilities will also include overseeing the ongoing performance of deployed models through reactive and proactive support, monitoring, and reporting. You will be expected to engineer innovative solutions using various approaches like time-series forecasting predictive modeling, cluster analysis, and dimensionality reduction. Additionally, you will develop and manage quantitative analytics to identify market dislocations and trading opportunities in FX and Rates markets, as well as assist in smarter risk management of the trading books. Moreover, you will be tasked with laying out a formal architecture for the development of tools and guiding programmers/analysts to contribute to and deepen the platform. You will collaborate closely with traders across various markets to build a wide spectrum of tools and systematically analyze all patterns driven by flows in the FX and Rates markets. Qualifications Required: - 7-12 years of experience in Algo Trading - Proficiency in Python, R, MATLAB Company Additional Details: The company envisions this role evolving into one where you can guide programmers/analysts to further enhance the platform and work closely with traders to develop a variety of tools.,