RECRUITERBOOM Jobs (2)

We are looking for a Recruiter with full-cycle recruiting experience, from talent sourcing and attracting candidates to interviewing and hiring great employees. What does a Recruiter do? A successful recruiter will collaborate with department managers on a regular basis and proactively identify future hiring needs. You should also be able to attract candidates using various sources, like social media networks and employee referrals . Our ideal recruiter holds an academic HR background combined with work experience in screening, interviewing and assessing candidates. Ultimately, the responsibilities of the Recruiter are to ensure our company attracts, hires and retains the best employees, while growing a strong talent pipeline . Responsibilities Design and implement overall recruiting strategy Develop and update job descriptions and job specifications Perform job and task analysis to document job requirements and objectives Prepare recruitment materials and post jobs to appropriate job board / newspapers / colleges etc Source and recruit candidates by using databases, social media etc Screen candidates resumes and job applications Conduct interviews using various reliable recruiting and selection tools / methods to filter candidates within schedule Assess applicants relevant knowledge, skills, soft skills, experience and aptitudes Onboard new employees in order to become fully integrated Monitor and apply HR recruiting best practices Provide analytical and well documented recruiting reports to the rest of the team Act as a point of contact and build influential candidate relationships during the selection process Promote companys reputation as best place to work Requirements and skills Proven work experience as a Recruiter (either an in-house recruiter or a staffing agency recruiter ) Solid ability to conduct different types of interviews ( structured , competency-based, stress etc) Hands on experience with various selection processes ( video interviewing , phone interviewing , reference check etc) Ability to organize skills assessment centers (in tray activities, work samples, psychometric and IQ / EQ tests, etc) Familiarity with HR databases, Applicant Tracking Systems (ATS) and Candidate Management Systems (CMS) Hands-on experience with recruiting software, as well as Human Resource Information Systems (HRIS) or Human Resource Management Systems (HRMS) Excellent communication and interpersonal skills Strong decision-making skills BS / MS in Human Resources Management

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities : Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and Skills : Proven experience as a Data Scientist Data Analyst Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc / BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred