<div><strong>TechLadder </strong>specializes in Technology Training and Staffing. We offer temporary and permanent staffing solutions. While we specialize in SAP and SalesForce, we also help our customers, big or small secure top talent across application development, data management, UI/UX, project management, middleware, network infrastructure, cyber security, DevOps, Mobility, Machine Learning, AI and other niche technologies. </div><div><br></div><div> At <strong>TechLadder </strong>we just love Technology. Be it embracing technology for our business or to help our customers fill resource gaps, we just love technology. Our leadership has vast experience as Technology professionals and worked with Fortune Enterprises and Tier-1 system integrators across North America. Started as a boutique SAP Staffing Company, <strong>TechLadder </strong>has evolved as a trusted partner for enterprises, integrators, MSP’s and businesses of all sizes to fill their Technology Gaps. Every Technology Recruitment Practitioner at <strong>TechLadder </strong>is well trained to source, screen and qualify candidates to meet customers specific Job requirements. By leveraging AI and Cognitive, we profile every resume with the Job Requirement. Our 18 Point Screening &amp; Qualification Check eliminates 98% of irrelevant and counterfeit resumes. Our Centers of Excellence are focused recruitment groups with access to technology specific talent pool, assessment and screening tools and well trained recruitment practitioners that Deliver for our clients requirements.</div><div><br></div>

Techladder

<div><strong>Company Overview:</strong><br>Techladder is a leading IT Services and IT Consulting company dedicated to providing innovative solutions to clients globally. Our team is committed to delivering high-quality services and driving technological advancements in the industry.</div><br><div><strong>Role and Responsibilities:</strong><br>The Data Scientist will be responsible for analyzing complex data sets, developing custom models and algorithms to drive business solutions, and collaborating with cross-functional teams to implement data-driven strategies. The key responsibilities include:</div><ul><li>Utilizing advanced data analysis techniques to identify trends, patterns, and insights</li><li>Developing and implementing machine learning models and algorithms</li><li>Applying statistical and predictive modeling to enhance business processes</li><li>Collaborating with stakeholders to understand business objectives and define data-driven strategies</li><li>Communicating findings and insights to key stakeholders in a clear and concise manner</li><li>Staying updated with the latest industry trends and advancements in data science</li></ul><br><div><strong>Candidate Qualifications:</strong><br>The ideal candidate should possess a Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related field. Additionally, candidates with a Master's or Ph.D. in a quantitative discipline will be preferred. The candidate should have a minimum of 5 years of experience in a data science role, with a proven track record of delivering impactful insights and solutions.</div><br><div><strong>Required Skills:</strong><br>The candidate must demonstrate proficiency in the following skills:</div><ul><li>Python</li><li>SQL</li><li>Machine Learning</li><li>Artificial Intelligence</li><br></ul>