387 Statistical Modeling Jobs - Page 16

Overview The Senior Data Science Engineer will leverage advanced data science techniques to solve complex business problems, guide decision-making processes, and mentor junior team members. This role requires a combination of technical expertise in data analysis, machine learning, and project management skills. Responsibilities Data Analysis and Modeling Analyze large-scale telecom datasets to extract actionable insights and build predictive models for network optimization and customer retention. Conduct statistical analyses to validate models and ensure their effectiveness. Machine Learning Development Design and implement machine learning algorithms for fraud detection, churn prediction, and network failure analysis. Telecom-Specific Analytics Apply domain knowledge to improve customer experience by analyzing usage patterns, optimizing services, and predicting customer lifetime value. ETL Processes Develop robust pipelines for extracting, transforming, and loading telecom data from diverse sources. Collaboration Work closely with data scientists, software engineers, and telecom experts to deploy solutions that enhance operational efficiency. Data Governance : Ensure data integrity, privacy, security and compliance with industry standards Requirements Advanced degree in Data Science, Statistics, Computer Science, or a related field. Extensive experience in data science roles with a strong focus on machine learning and statistical modeling. Proficiency in programming languages such as Python or R and strong SQL skills. Familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous. Expertise in cloud platforms such as AWS or Azure.

About The Role The leader must demonstrate an ability to anticipate, understand, and act on evolving customer needs, both stated and unstated. Through this, he/she must create a customer-centric organization and use innovative thinking frameworks to foster value-added relations. With the right balance of bold initiatives, continuous improvement, and governance, the leader must adhere to the delivery standards set by the client and eClerx by leveraging the knowledge of market drivers and competition to effectively anticipate trends and opportunities. Besides, the leader must demonstrate a capacity to transform, align, energize organization resources, and take appropriate risks to lead the organization in a new direction. As a leader, the candidate must build engaged and high-impact direct, virtual, and cross-functional teams, and take the lead towards raising the performance bar, build capability and bring out the best in their teams. By collaborating and forging partnerships both within and outside the functional area, the leader must work towards a shared vision and achieve positive business outcomes. Associate Program Manager Roles and responsibilities: Lead and provide strategic direction to teams, ensuring alignment with clients business objectives Actively collaborate with the Marketing, Marketing Operations, Marketing Technology, Risk & Controls, and Automation teams to consult and facilitate the seamless execution of marketing campaigns and initiatives Collaborate with client stakeholders to shape and execute the target operating model for data operations, data engineering, and insights teams Drive revenue growth by understanding client needs, proposing innovative commercial constructs, and capitalising on upsell & cross-sell opportunities Accountable for ensuring we are recruiting a highly skilled workforce of data engineers, data analysts and data scientists to support RTB and CTB initiatives of the Client Work closely with sales and consulting teams to expand current business and explore new transformation-led opportunities Stay updated with industry trends, and champion the adoption of cutting-edge tools, methodologies, and technologies Take ownership of team deliverables, ensuring quality checks, best practices and desired outcomes are achieved on the first attempt. Understand project requirements and equip team members with the necessary skills and training. Technical and Functional Skills: Masters / Bachelors degree in Management / Engineering / Mathematics / Statistics or any related quantitative discipline The ideal candidate must have a minimum of 8+ years of experience in Data Management, Analytics, or Decision Science, including P&L Management responsibilities Experience working in services/consulting space, building and leading large analytics business and demonstrated success in delivering to clients across industries and domains preferably Banking and Financial Services Proven track record of building and leading high growth teams; demonstrated experience in hiring, retaining, and scaling geographically dispersed, high-performing teams Experience in collaborating, communicating, and influencing different stakeholders to drive inclusion, efficiency, and creative solutions

About The Role The candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. He/she should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. He/she must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. About The Role : We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams.

Full time with top German MNC for location Bangalore SKILLS SET: Statistical & Mathematical Concepts Descriptive statistics, probability distributions, hypothesis testing, p-values, confidence intervals, correlation, A/B testing Data Handling & Analysis Data cleaning, missing values, outlier detection, feature engineering, feature selection, EDA, dimensionality reduction, PCA, t-SNE, time series Machine Learning Techniques Supervised: linear regression, logistic regression, decision trees, random forests, SVM, k-NN, gradient boosting, XGBoost Unsupervised: k-means, hierarchical clustering, DBSCAN, PCA, anomaly detection Model Evaluation & Optimization Accuracy, precision, recall, F1-score, ROC-AUC, RMSE, MAE, R, cross-validation, grid search, random search, bias-variance trade-off Programming & Tools Python, NumPy, Pandas, scikit-learn, matplotlib, seaborn, SQL, Jupyter Notebooks, Google Colab SQL Skills Select statements, joins (inner, outer, left, right), group by, having, subqueries, filtering, sorting, aggregations (SUM, AVG, COUNT), window functions (ROW_NUMBER, RANK, LAG, etc.), CTEs etc.

About The Role As Data Scientist in the credit risk strategy team, you will leverage your creative and critical thinking skills to develop best-in-class risk management strategies that have a meaningful impact on the client business. These strategies will support the client s credit and fraud risk, customer experience, marketing verticals and beyond. Having you aboard will enable us to stay aligned with market trends by improving the turnaround time for developing and implementing risk strategies, allowing for quicker iterations and broader coverage in addressing business challenges through scientific methods. The core KPIs for this position include additional revenue generated and costs saved from releases. This role also supports compliance, documentation, and knowledge sharing in risk strategies. What you'll do Develop, validate and deploy risk management strategies using a combination of sophisticated data analytics and domain expertise. Extract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources for usage in strategy development Maintain robust documentation of approach and techniques used; including objectives, assumptions, performance, weaknesses, and limitations. Be ready to adapt to new tools/libraries/technologies/platforms. Actively partner with engineers to validate & deploy scalable solutions. Collaborate to gather insight from partners across the organization. Further develop expertise in data science and engineering through self-study, project exposure and guidance of senior team members. What you'll bring Degree in a quantitative field (e.g., computer science, data science, engineering, economics, mathematics, etc.). Advanced degree preferred. 3+ years of Data Science experience. 2+ years in financial services. Experience building and implementing risk strategies in production. Deep understanding of segmentation techniques such as decision trees. Experience in banking sector with exposure to risk management analytics. Proficient with Python. Proficient with SQL. Practical experience using Spark is a plus. Understanding of statistical modeling techniques is a plus. Technical understanding of algorithm complexity, probability & statistics. Self-driven with an aptitude for independent research & problem-solving. Ability to multi-task in a fast-paced environment is essential. Skills: algorithm complexity,ai/ml,computer science,data conversion,segmentation techniques,spark,risk analytics,data analytics,validate data integrity,statistical modeling,mathematics,python,documentation,sql,statistical modeling techniques,data enrichment,engineering,data science,ad hoc analysis,risk management strategies,decision trees,statistics,fraud risk,credit risk strategy,probability,economics,ai,building and implementing risk strategies,nlp,ml Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedabad, Bengaluru, Delhi,Mumbai, India

About the team: The AI Core team is a small and nimble team focused on AI innovation, experimental modelling, and scientific validation. Its mission is to build highly efficient, adaptable and efficacious large models for multiple general-purpose applications in chemical metrology. To stay aligned with the mission, the team follows advancements in AI, including next-generation deep learning architectures, autonomous agents, large-scale optimization algorithms, reinforcement learning methodologies, and innovative data simulation techniques. Senior Data Scientist The Senior Data Scientist plays a critical role in the AI Core team by guiding at every stage of the AI research with data-driven insights and substantiating the success/failure of these stages. Responsibilities: - Perform exploratory data analysis (EDA) on spectral datasets to identify patterns, trends, and anomalies. - Rapid prototyping to test out multiple hypotheses across large-scale historical datasets - Develop statistical and machine learning models to complement deep learning approaches. - Validate model outputs against domain knowledge or computational (non-ML) spectral analysis- Generate visualizations and reports for internal validation. - Apply learnings from data patterns to innovatively generate simulated data Skills: - Strong background in statistics, machine learning, and data visualization. - Experience with time-series data - Rapid prototyping skills, hypothesis generation and testing - Mathematical foundations (optimization, linear algebra, probabilistic modelling) - Technical proficiency in some of these: Python, SQL, Pandas, Matplotlib/Plotly, Jupyter and Excel - Experience with physics simulators (PyBullet, Gazebo) and synthetic data generation (Blender, NVIDIA Omniverse). - Passion: Discovering patterns and creativity in analyzing data Qualifications: - Bachelors or Master’s degree in Data Science, Statistics, Computer Science, or a related technical field. - 8+ years of experience in data analysis, statistical modelling, or related roles. - Prior roles within AI research teams - Background in chemometrics, spectroscopy, or analytical chemistry, desirable - Advantage: Modelling anomaly detection, noise, baselines, and artifacts in any domain. About Picarro: We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance.

Learn to develop and apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets Support the review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs Assist in the development of visualizations and presentations for client deliverables Develop software solutions and applications using Python, SQL, and/or R Interface with EVERSANA analysts, data scientists, clinicians and program managers and with EVERSANA customers.

Urgent Hiring for MNC for Analytics role, which includes- Model Development/Model Validation Data Analytics Data Manager/Data Modeler Risk Strategy/Analytics Market Risk/Credit Risk SAS/Python Exposure Kindly send your updated CV at jatin@smrd.in

Roles and Responsibilities Develop predictive models using statistical modeling techniques to drive business outcomes. Design and implement machine learning algorithms for data analysis, including deep learning methods. Collaborate with stakeholders to identify business problems and develop solutions through data-driven insights. Conduct exploratory data analysis (EDA) to extract meaningful patterns from large datasets. Communicate complex technical findings effectively to non-technical audiences. Desired Candidate Profile 1-3 years of experience in Data Science or related field. B.Tech/B.E. degree in Any Specialization or B.Sc degree in Statistics. Strong proficiency in SAS, Python, R programming languages; expertise in Predictive Modeling, Statistical Modeling, Machine Learning, Deep Learning.

Roles and Responsibilities Develop market mix models using SAS, SQL, and statistical techniques to drive business decisions. Collaborate with cross-functional teams to design and implement data science solutions for revenue growth management. Conduct time series analysis and predictive analytics to forecast demand and optimize pricing strategies. Design and execute A/B testing experiments to measure the impact of marketing campaigns on customer behavior. Provide insights and recommendations to stakeholders through clear communication of results. Desired Candidate Profile 2-7 years of experience in Market Mix Modelling or related field (Data Science). Strong proficiency in Python programming language with expertise in machine learning algorithms such as logistic regression, naive bayes, etc. . Experience working with large datasets using tools like Spark, Hadoop, NoSQL databases etc. . Bachelor's degree in Mathematics/Statistics/Computer Science/Engineering from a top tier institute.

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements: Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

About the job: Key responsibilities: 1. Working on site measurements 2. Site formalities 3. Daily work reporting and planning for clients 4. Labor management and grievance handling 5. Reporting site requisition and issues 6. Stock security and issue 7. Please note these are macro tasks, and there will be multiple micro-related tasks that will be part of the job profile, which would be understood. If the performance remains unsatisfactory, a final extension of 3 months will be granted. However, if there is no improvement during this period, we may be compelled to proceed with termination. Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Civil Engineering students Salary: ₹ 2,40,000 - 3,60,000 /year Experience: 1 year(s) Deadline: 2025-06-04 23:59:59 Other perks: Informal dress code Skills required: AutoCAD, Accounting, Data Structures, Data Analytics, Statistical Modeling, MS-Excel, Statistics, Advanced Excel, STAAD.Pro, English Proficiency (Spoken), English Proficiency (Written), Engineering Drawing, Quality Assurance/Quality Control (QA/QC), Engineering Surveying, Quantity Survey (QS) and Data Analysis Other Requirements: 1. Civil engineer graduates or diplomas will be preferred. 2. Polytechnic would also be preferred. 3. People with acumen in the construction industry can apply. 4. Our company primarily works in the glass glazing and facade works (windows/doors and glass facade/partitions). Please note this is work from a respective site in MMR region. About Company: We provide end-to-end solutions in glass and aluminum product lines catering to high-volume residential or commercial projects.