MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!This is a large impact role that demands someone who can excel in a fast paced and ever changing environment.What You'll DoData ScientistBangalore/ GurugramRate: 30 lpaRole Description:We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning. This role involves extracting meaningful insights from complex datasets and translating them into actionable strategiesthat drive business growth. You will collaborate with cross-functional teams to design and implementdata-driven solutions to solve real-world problems.Job Experience Requirements:Qualifications:Education: Master's or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field.Experience: 5+ years of experience in data science, analytics, or a related field.Technical Skills:o Proficiency in programming languages such as Python and R.o Proficiency in statistical/empirical model buildingo Extensive experience with time series data, analysis, and modelingo Strong knowledge of statistical principles and machine learning techniques (e.g., regression, classification, clustering, neural networks).o Experience with data manipulation and analysis using libraries such as pandas, NumPy, and SciPy.o Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).o Experience with SQL and relational databases.o Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability towork effectively in a team environment.Additional Skills (Preferred):o Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).o Familiarity with version control systems (e.g., Git).Job Responsibilities:Data Analysis: Analyze large, complex datasets to identify trends, patterns, and insights that inform business decisions.Model Development: Develop, implement, and validate predictive models and machine learning algorithms to solve various business problems.Data Cleaning: Preprocess and clean data to ensure its quality and integrity before analysis.Visualization: Create data visualizations and dashboards to communicate findings to stakeholders in a clear and concise manner.Collaboration: Work closely with cross-functional teams, including engineering, product management, and marketing, to understand their data needs and provide relevant insights.Reporting: Generate comprehensive reports and presentations that summarize key findings and recommendationsContinuous Improvement: Stay up-to-date with the latest developments in data science, machine learning, and related fields, and apply this knowledge to improve existing processes and methodologies.MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.