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Urgent! Techversant Infotech - Data Scientist Engineer - Predictive Modeling Job | Techversant

Techversant Infotech Data Scientist Engineer Predictive Modeling



Job description

<p><p><b>Description :</b> </p><p><br/></p><p>We are seeking a skilled Senior Data Scientist Engineer to build and improve data systems that power analytics, machine learning, and reporting.<br/><br/> The ideal candidate has experience with both data engineering and data science able to manage large datasets, create predictive models, and turn data into useful insights for better business decisions.</p><br/><br/><p><b>Key Responsibilities :</b><br/><br/></p><p> - Data mining or extracting usable data from valuable data sources<br/><br/></p><p> - Using machine learning tools to select features, create and optimize classifiers<br/><br/></p><p> - Carrying out the preprocessing of structured and unstructured data<br/><br/></p><p> - Enhancing data collection procedures to include all relevant information for developing analytic systems<br/><br/></p><p> - Processing, cleansing, and validating the integrity of data to be used for analysis<br/><br/></p><p> - Analyzing large amounts of information to find patterns and solutions<br/><br/></p><p> - Developing prediction systems and machine learning algorithms<br/><br/></p><p> - Presenting results in a clear manner<br/><br/></p><p> - Propose solutions and strategies to tackle business challenges<br/><br/></p><p> - Collaborate with Business and IT teams</p><br/><br/><p><b>Preferred Skills:</b><br/><br/></p><p> - Programming Skills knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable.<br/><br/></p><p> - 2+ yrs of experience as a data scientist.<br/><br/></p><p> - Familiarity with Scala, Java, or C++ is an added advantage.<br/><br/></p><p> - Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.<br/><br/></p><p> - Proficiency in statistics is essential for data-driven companies.<br/><br/></p><p> - Machine Learning good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.<br/><br/></p><p> - Strong Math Skills (Multivariable Calculus and Linear Algebra) understanding the fundamentals of multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.<br/><br/></p><p> - Data Wrangling proficiency in handling imperfections in data is an important aspect of a data </p><p>scientist job description.<br/><br/></p><p> - Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data<br/><br/></p><p> - Excellent Communication Skills it is incredibly important to describe findings to a technical and non-technical audience.<br/><br/></p><p> - Strong Software Engineering Background<br/><br/></p><p> - Hands-on experience with data science tools<br/><br/></p><p> - Problem-solving aptitude<br/><br/></p><p> - Analytical mind and great business sense<br/><br/></p><p> - Degree in Computer Science, Engineering or relevant field is preferred<br/><br/></p><p> - Proven Experience as Data Analyst or Data Scientist</p><br/><br/><p><b>What Company Offers :</b><br/><br/></p><p> - Excellent career growth opportunities and exposure to multiple technologies.<br/><br/></p><p> - Fixed weekday day schedule, meaning, youll have your weekends off!<br/><br/></p><p> - Family Medical Insurance.<br/><br/></p><p> - Unique leave benefits and encashment options based on performance.<br/><br/></p><p> - Long term growth opportunities.<br/><br/></p><p> - Fun family environment surrounded by experienced developers.<br/><br/></p><p> - Various internal employee rewards programs based on Performance.<br/><br/></p><p> - Opportunities for various other Bonus programs for training hours taken, certifications, special value to business through idea and innovation.<br/><br/></p><p> - Work life Balance flexible work timings, early out Fridays, various social and cultural activities etc</p><br/></p> (ref:hirist.tech)


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