Mandatory skill - Python, SQL, Time Series Forecasting, Statistical Analysis, Data Science
JD:
Resultsdriven Data Scientist with handson experience in timeseries forecasting statistical analysis data analysis data wrangling and predictive modeling using Python and SQL Strong understanding of forecasting techniques trends seasonality model evaluation and forecast accuracy improvement Adept at translating complex datasets and forecasting outputs into actionable business recommendations
Key Skill Areas
Strong understanding of timeseries concepts including trend seasonality cyclic patterns lag features rolling statistics anomalies and historical patterns Handson knowledge of forecasting models such as Prophet ARIMASARIMA MSTLARIMA TBATS Exponential SmoothingHoltWinters and Theta models
Descriptive and inferential statistics probability distributions correlation and covariance regression analysis hypothesis testing confidence intervals variance analysis statistical significance outlier detection and trend analysis
Forecast Model Evaluation Optimization Forecast accuracy evaluation using MAPE and percentageerrorbased metrics timebased validation model comparison hyperparameter tuning overfittingunderfitting analysis forecast bias identification
Exploratory Data Analysis EDA trend and correlation analysis historical pattern analysis missingvalue treatment outlier handling lagrolling features holiday and event features external regressorscovariates and dailyweeklymonthly data analysis
Soft Skills
Strong problemsolving ability attention to detail stakeholder communication ability to translate business problems into data solutions
Must Have
Developed maintained and evaluated timeseries forecasting models to predict business performance using historical actuals trends seasonality and statistical patterns
Applied forecasting techniques such as Prophet ARIMASARIMA MSTLARIMA TBATS and other statistical forecasting approaches to solve business forecasting problems
Performed forecast accuracy analysis model comparison and hyperparameter tuning to improve forecasting performance
Conducted indepth analysis of historical data to identify trends seasonality anomalies forecast deviations and key business drivers
Performed forecast vs actual analysis and rootcause analysis to understand significant deviations and recommend model or data improvements
Used Python and SQL for data preparation and transformation feature
Incorporated holidays events and business covariates to improve forecasting models
Collaborated with stakeholders to gather forecasting requirements translate business questions into analytical approaches and communicate model results and forecast insights clearly
Good To Have
Familiarity with prompt engineering CopilotOpenAI APIs and basic usage of GPTLLM models for analytical workflow automation
Awareness of LLM limitations responsible AI practices and applications of GenAI in analytics
Familiarity with advanced forecastingML approaches such as XGBoost Neural Prophet NBEATS or ensemble forecasting
Experience with Microsoft Fabric Fabric Notebooks Lakehouse and Pipelinesfor running and operationalizing data scienceforecasting workloads
Willing to work in shifts
Skills
Mandatory Skills : Python - Data Science
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and recent roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert