Job
Description
CryptoChakra is a leading cryptocurrency analytics and education platform committed to decoding the complexities of digital asset markets for traders, investors, and institutions. By merging advanced machine learning frameworks, real-time blockchain intelligence, and immersive educational resources, we empower users to navigate market volatility with precision. Our platform leverages Python, TensorFlow, and AWS-powered infrastructure to deliver AI-driven price forecasts, risk assessment tools, and interactive tutorials that transform raw data into actionable strategies. As a remote-first innovator, we prioritize transparency, scalability, and inclusivity to redefine accessibility in decentralized finance. Position: Data Science Intern Remote | Full-Time Internship | Compensation: Paid/Unpaid based on suitability Role Summary Join CryptoChakra’s data science team to refine predictive models, analyze blockchain trends, and contribute to tools used by thousands globally. This role offers hands-on experience in machine learning, sentiment analysis, and DeFi analytics, with mentorship from industry experts. Key Responsibilities Predictive Modeling: Develop and optimize ML algorithms (LSTM, Random Forest) for cryptocurrency price forecasting using historical and real-time blockchain data. Sentiment Analysis: Scrape and analyze social media (Twitter, Reddit) and news data to gauge market sentiment with NLP techniques. Blockchain Analytics: Decode on-chain metrics (wallet activity, gas fees) from explorers like Etherscan to identify market trends. Data Pipelines: Clean, preprocess, and structure datasets from exchanges (Binance, CoinGecko) for model training. Collaboration: Partner with engineers to deploy models into production and with educators to create data-backed tutorials. Qualifications Technical Skills Proficiency in Python/R for data manipulation (Pandas, NumPy) and machine learning (Scikit-learn, TensorFlow). Strong grasp of statistics (hypothesis testing, regression) and SQL/NoSQL databases. Familiarity with data visualization tools (Tableau, Plotly) and cloud platforms (AWS, GCP). Professional Competencies Analytical rigor to derive insights from unstructured datasets. Ability to communicate technical findings to non-technical stakeholders. Self-driven with adaptability to remote collaboration tools (Slack, Zoom). Preferred (Not Required) Academic projects involving time-series forecasting, clustering, or NLP. Exposure to blockchain fundamentals, DeFi protocols, or crypto APIs. Pursuing or holding a degree in Data Science, Computer Science, or related fields. What We Offer Skill Development: Master tools like PyTorch, Spark, and blockchain analytics platforms. Portfolio Impact: Contribute to models powering CryptoChakra’s predictions, used by 1M+ users. Flexibility: Remote-first culture with mentorship tailored to your learning pace. Show more Show less
