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Job description

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:

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

Requirements:

• A MSc or PhD degree in applied mathematics or statistics.
• 5+ years of industry experience.
• Advanced coursework in machine learning and programming.
• Experience using data visualization tools.
• Experience with data querying languages, and statistical or mathematical software.
• Proficient in writing algorithms, and knowing when to apply them.
• Excellent understanding of statistics, multivariable calculus, and linear algebra.
• Outstanding communication skills.

Job Types: Full-time, Permanent

Salary: $4,500.00-$5,500.00 per month

Benefits:

• Casual dress
• Commuter benefits
• Company events
• Company pension
• Dental care
• Disability insurance
• Discounted or free food
• Employee stock purchase plan
• Flexible schedule
• Housing allowance
• Language training provided
• Profit sharing
• Store discount
• Vision care

Schedule:

• 8 hour shift
• Day shift
• Monday to Friday
• Night shift

Supplemental pay types:

• Commission pay
• Overtime pay
• Retention bonus
• Signing bonus

Experience:

• Data Scientist (required)

Shift availability:

• Day Shift (required)
• Night Shift (required)

Work Location: In person