Key Responsibilities:

Utilize advanced statistical and machine learning techniques to analyze large and complex datasets to identify patterns, trends, and insights
Develop predictive models and algorithms to forecast future trends and behavior
Collaborate with cross-functional teams to understand business problems and provide data-driven solutions
Design and implement experiments to test hypotheses and validate findings
Develop and maintain data infrastructure and tools to support data analysis and modeling
Communicate findings and recommendations to stakeholders in a clear and concise manner
Mentor and coach junior data scientists in the team
Keep up-to-date with the latest data science techniques and tools and proactively identify opportunities to apply them to business problems

Requirements:

Bachelor's/Master's/Ph.D. degree in Computer Science, Statistics, Mathematics, or related field
Minimum of years of experience in a data science or analytics role
Strong experience in data wrangling, data cleaning, and exploratory data analysis
Proficient in programming languages such as Python, R, and SQL
Experience with data visualization tools such as Tableau, Power BI, or QlikView
In-depth knowledge of statistical and machine learning techniques such as regression, classification, clustering, and time-series analysis
Experience with machine learning libraries such as scikit-learn, TensorFlow, or Keras
Excellent problem-solving and critical-thinking skills
Strong communication and presentation skills
Ability to work independently and in a team environment
Proven track record of delivering successful data-driven solutions to complex business problems

Apply now and take your career to the next level!

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