Data Scientist(Freelance | WFH)

3 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Part Time

Job Description

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as a Data Scientist and help fast-growing startups transform data into actionable insights, predictive models, and intelligent decision-making tools. You’ll work on real-world data challenges across domains like marketing, finance, healthtech, and AI—with full flexibility to work remotely and choose the engagements that best fit your goals. Role Overview As a Data Scientist, you will: Extract Insights from Data: Analyze complex datasets to uncover trends, patterns, and opportunities. Build Predictive Models: Develop, validate, and deploy machine learning models that solve core business problems. Communicate Clearly: Work with cross-functional teams to present findings and deliver data-driven recommendations. What You’ll Do Analytics & Modeling: Explore, clean, and analyze structured and unstructured data using statistical and ML techniques. Build predictive and classification models using tools like scikit-learn, XGBoost, TensorFlow, or PyTorch. Conduct A/B testing, customer segmentation, forecasting, and anomaly detection. Data Storytelling & Collaboration: Present complex findings in a clear, actionable way using data visualizations (e.g., Tableau, Power BI, Matplotlib). Work with product, marketing, and engineering teams to integrate models into applications or workflows. Technical Requirements & Skills Experience: 3+ years in data science, analytics, or a related field. Programming: Proficient in Python (preferred), R, and SQL. ML Frameworks: Experience with scikit-learn, TensorFlow, PyTorch, or similar tools. Data Handling: Strong understanding of data preprocessing, feature engineering, and model evaluation. Visualization: Familiar with visualization tools like Matplotlib, Seaborn, Plotly, Tableau, or Power BI. Bonus: Experience working with large datasets, cloud platforms (AWS/GCP), or MLOps practices. What We’re Looking For A data-driven thinker who can go beyond numbers to tell meaningful stories. A freelancer who enjoys solving real business problems using machine learning and advanced analytics. A strong communicator with the ability to simplify complex models for stakeholders. Why Join Us? Immediate Impact: Work on projects that directly influence product, growth, and strategy. Remote & Flexible: Choose your working hours and project commitments. Future Opportunities: BeGig will continue matching you with data science roles aligned to your strengths. Dynamic Network: Collaborate with startups building data-first, insight-driven products. Ready to turn data into decisions? Apply now to become a key Data Scientist for our client and a valued member of the BeGig network! Show more Show less

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