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Fidel technology solutions pvt ltd

<ul><li>Data Collection and Preparation: Sourcing data from various internal and external sources (databases, APIs, web scraping), and cleaning, processing, and validating large structured and unstructured datasets for accuracy and completeness.</li><li>Exploratory Data Analysis (EDA): Examining data to identify patterns, trends, relationships, and anomalies using statistical methods and data visualization techniques.</li><li>Model Building and Implementation: Designing, building, training, and optimizing machine learning models and algorithms (e.g., classification, regression, clustering, neural networks) to forecast outcomes or automate processes.</li><li>Communication and Collaboration: Working with cross-functional teams (e.g., product, marketing, engineering) to understand business needs and presenting complex results and recommendations to technical and non-technical stakeholders in a clear and compelling manner.</li><li>Deployment and Monitoring: Collaborating with data and machine learning engineers to deploy models into production environments and developing processes to monitor and analyze model performance over time.</li><li>Strategic Input: Advising leadership on data-driven strategies, conducting A/B testing, and identifying opportunities to leverage data for business growth and optimization.</li><li>Required Skills and Qualifications A data scientist needs a blend of technical expertise, analytical thinking, and soft skills:</li><li>Programming Languages: Proficiency in statistical programming languages such as Python and R, and database query languages like SQL. Statistics and Mathematics: Strong applied statistical skills (statistical tests, distributions, regression) and a solid understanding of linear algebra and multivariable calculus.</li><li>Machine Learning: Experience with various machine learning techniques and algorithms (e.g., k-NN, Naive Bayes, Decision Forests, SVM) and relevant libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Data Visualization: Skill in using visualization tools like Tableau, Power BI, Matplotlib, or D3.js to create reports and dashboards.</li><li>Big Data Technologies (optional but helpful): Familiarity with distributed data processing tools and platforms such as Hadoop, Spark, or cloud services (AWS, Azure, GCP).</li><li>Education: Typically requires a bachelor's or master's degree in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics, or Economics.</li><li>Soft Skills: Strong problem-solving aptitude, critical thinking, business acumen, intellectual curiosity, and excellent communication skills are essential for success in this role.</li><li>Hiring for freshers</li></ul>Job Types: Full-time, Permanent, FresherPay: &#8377;587,617.48 - &#8377;1,852,217.81 per yearBenefits:<ul><li>Leave encashment</li></ul>Work Location: In person

Data Scientist

Join Fidel technology solutions pvt ltd and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Fidel technology solutions pvt ltd

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Data Scientist