Data Scientist

HI,

Hope you're doing well

This is pankaj from 4P Consulting Please see below job description

Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C

• A Data Scientist with 5 to 10 years ofexperience is responsible for leveragingdata to uncover insights, create predictivemodels, and drive data-driven decision-making within an organization.
• This roleinvolves advanced analytics, machinelearning, and strong problem-solving skillsto extract actionable information fromlarge datasets. Key Responsibilities: DataAnalysis: Collect, clean, and analyzecomplex datasets to identify trends,patterns, and actionable insights.
• Usestatistical techniques to uncovermeaningful information from data.Predictive Modeling: Develop and deploymachine learning models to predict futuretrends, behaviors, and outcomes. Applyregression analysis, clustering,classification, and other modelingtechniques.
• Data Visualization: Createcompelling data visualizations tocommunicate findings effectively to bothtechnical and non-technical stakeholdersusing tools like Tableau, Power BI, orPython libraries. Hypothesis Testing:Formulate and test hypotheses, providingstatistical validation for businessdecisions and recommendations.
• FeatureEngineering: Engineer and select relevantfeatures for machine learning models,
• enhancing their predictive power.Algorithm Development: Build and fine-tune machine learning algorithms, suchas decision trees, random forests, neuralnetworks, and more, depending on thespecific problem.
• Data Integration:Collaborate with IT and databaseadministrators to integrate and accessdata from various sources and datawarehouses. Model Deployment: Deploymachine learning models in productionenvironments to support real-timedecision-making. A/B Testing: Design andanalyze A/B tests to measure the impactof changes and improvements. DataEthics:
• Ensure ethical data practices,including privacy and compliance withdata protection regulations. Cross-functional Collaboration: Collaborate withcross-functional teams, includingengineers, business analysts, and domainexperts, to understand businessrequirements and align data scienceinitiatives with organizational goals.Mentorship:
• Provide guidance andmentorship to junior data scientists andanalysts, fostering their professionalgrowth. Continuous Learning: Stayupdated on the latest data science tools,techniques, and trends through ongoingprofessional development. Qualifications:Bachelor's degree in a quantitative field(e.g., Computer Science, Statistics,Mathematics, Engineering); a Master's orPh.D. is a plus.
• 5 to 10 years of experiencein data science, including machinelearning and statistical analysis.Proficiency in data analysis tools andprogramming languages such as Python,R, or Julia. Strong knowledge of machinelearning algorithms and their applications.Experience with data visualization toolslike Tableau, Power BI, or datavisualization libraries in Python (e.g.,Matplotlib, Seaborn). Solid understandingof databases and data manipulation usingSQL. Excellent problem-solving andcritical thinking skills. Strongcommunication skills to convey complexfindings and insights to both technical andnon-technical stakeholders. Familiaritywith big data technologies and distributedcomputing frameworks is a plus (e.g.,Hadoop, Spark). Knowledge of dataethics, privacy, and complianceconsiderations.
• A Data Scientist with 5 to10 years of experience is a critical asset toan organization, capable of transformingdata into actionable insights, buildingpredictive models, and driving data-drivendecision-making. This role requires astrong foundation in data sciencetechniques, programming, and advancedanalytics, as well as the ability tocollaborate with various teams andmentor junior staff.

Thanks and Regards

Sr. Talent Acquisition Specialist

Pankaj Mishra

Pankaj.Mishra@4pconsultinginc.com

+ 1 205-756-4834