What are the responsibilities and job description for the Gen AI and Machine Learning Data Scientist position at Match Point Solutions?
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!
Job Title: Gen AI and Machine Learning Data Scientist
Location: Sunnyvale, CA
Duration: 6 Months Contract
Rate Preference: $70-90/hr (DOE)
Role Description:
We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, deep learning, and GenAI, with the ability to extract meaningful insights from complex datasets and translate them into actionable strategies that drive business growth.
Qualifications:
Education: Master's in data science, Statistics, Computer Science, or a related field.
Experience: 3 years of experience in data science, analytics, or a related field.
Technical Skills:
o Proficiency in programming languages such as Python or R.
o Good understanding of statistical principles for ML applications
o Experience with data manipulation and analysis using libraries such as pandas, NumPy, and SciPy.
o Exceptional knowledge of Deep Learning techniques, model architectures, and parameter fine-tuning
o Very good knowledge of GenAI with good understanding of foundation models and transformer architecture
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).
o Experience in genomics
Job Responsibilities:
Data Analysis: Analyze large, complex datasets to identify trends, patterns, and insights that inform strategic 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.
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.
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.
Salary : $70 - $90