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Job Title:

Data Scientist

Company: SolvusAI

Location: New delhi, Delhi

Created: 2026-04-05

Job Type: Full Time

Job Description:

Data Scientist (Full-Time Role)Location: RemoteExperience: 1-2 yearsStart Date: ImmediateSalary: CompetitiveAbout SolvusAISolvusAI is an AI-first technology company building intelligent, scalable products at the intersection of Generative AI, Machine Learning, and automation. While we’ve partnered with global enterprises to solve complex business problems, our focus is now expanding toward developing in-house AI products across HRTech, FinTech, and enterprise productivity.We move fast, experiment often, and build with intent - whether it’s AI-powered platforms, agentic systems, or production-grade GenAI workflows. At SolvusAI, curiosity, ownership, and execution matter more than hierarchy. If you want to help build real AI products - not just prototypes - this is where your journey begins.Are you excited about working on AI systems that ship, scale, and evolve into products? Do you want hands-on exposure to building intelligent agents, data-driven platforms, and LLM-powered workflows used by real users? Join us as we build the next generation of AI-led products.Key Responsibilities:Data Ingestion & ProcessingExtract, query, and manipulate data from relational databases using SQLIngest and process structured and unstructured datasets (CSV, Excel, APIs) using PythonAdvanced Data Preprocessing & Feature EngineeringHandle missing values using statistical and model-based imputation techniquesDetect and treat outliers using statistical methods (IQR, z-score) and clustering approachesPerform noise reduction using binning, regression-based smoothing, or clusteringIntegrate data from multiple sources, resolving inconsistencies and schema mismatchesApply feature engineering techniques:Transform skewed data (log, Box-Cox, Yeo-Johnson)Scale features (StandardScaler, MinMaxScaler)Encode categorical variables (one-hot, label, target encoding)Handle multicollinearity using VIF or correlation analysisPerform dimensionality reduction (PCA) and feature selectionModel Development & EvaluationBuild and evaluate machine learning models across use cases:Linear models (Linear Regression)Tree-based models (Decision Trees, Random Forest, XGBoost, GBM)Clustering (K-Means, hierarchical methods)Time-series models (ARIMA, SARIMA, ETS, LSTM)Perform hyperparameter tuning using grid search and cross-validationEvaluate models using appropriate metrics (Accuracy, Precision, Recall, F1-score, RMSE, MAE, ROC-AUC)Data Visualization & InsightsCreate visualizations and dashboards using Matplotlib, Seaborn, Plotly, or TableauPerform statistical analysis (t-tests, chi-square, correlation analysis)Present insights through reports, dashboards, and Jupyter Notebooks for both technical and business stakeholdersCollaboration & ExecutionWork closely with data engineers, analysts, and business teamsTranslate business problems into data-driven solutionsContribute to a fast-paced, collaborative, and product-focused environmentMust-Have Skills & QualificationsBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field1–2 years of hands-on experience in data science or machine learningStrong programming skills in Python (or R)Solid SQL skills for data extraction and transformationStrong understanding of core ML concepts and algorithmsExperience with data preprocessing, feature engineering, and model evaluationFamiliarity with libraries such as scikit-learn, pandas, NumPyExperience with data visualization tools (Matplotlib, Seaborn, Plotly, Tableau)Analytical mindset with strong problem-solving and debugging skillsGood communication and ability to work in a remote, fast-moving teamGood to HaveExperience with time-series forecasting and deep learning models (LSTM, etc.)Knowledge of advanced statistical techniques and hypothesis testingExposure to cloud platforms (AWS / Azure / GCP)Familiarity with MLOps, model deployment, and monitoringUnderstanding of Generative AI concepts and their integration with data workflowsWhy Join SolvusAI?Work on real-world data problems that directly impact products and usersBe part of a team building next-gen AI and data-driven solutionsExposure to both traditional ML and cutting-edge GenAI workflowsFlexible remote work environmentOwnership and visibility across projects from day oneOpportunity to grow into advanced AI/ML and product rolesThink you’re a fit?Beyond applying on LinkedIn, send your CV to with the subject:“Data Scientist: Apr 2026 - [Your Name]”Be part of SolvusAI’s mission to transform industries through data and AI#AI #DataScience #Hiring #TechJobs #RemoteWork #SolvusAI

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