Data Scientist
Data Scientist
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Job Description
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 Youll Do
Data Scientist
Bangalore/ Gurugram
Rate: 30 lpa
Role 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: Masters 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 building
o Extensive experience with time series data analysis and modeling
o 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 to
work 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 recommendations
Continuous 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.
Employment Type
Full-time
