Benefits:

• Opportunity to join an innovative startup

• Work environment for developing talent and realizing ideas

• Flexible working arrangements

• Private health insurance

• Salary range 2000-5000€/month

Education Requirements:

• M.Sc. in bioinformatics, structural biology, or other fields related to computational protein engineering

Experience Requirements:

• 3 years of industry/academia experience

Other Requirements:

• Skilled at rapidly analyzing scientific literature on new enzymes

• Good understanding of protein behavior _in vitro_

• Comfortable with popular protein sequence and structure analysis command-line tools, and Unix systems

• Comfortable with Python and data analysis

• Knowledge of collaborative software development best practices

• Excellent communication, reporting, and writing skills

• Ability to work both independently and in cross-functional teams

Responsibilities:

• Working in a team to engineer new enzymes by applying in-house developed tools

• Supporting the development of new workflows and algorithms

• Participating in brainstorms, proposing ideas for novel tools or applications

• Critically evaluating data generated by the experimental group and incorporating this knowledge into the design of improved protein variants

• Keeping detailed and accurate records of all work

Education Requirements:

• Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field

Experience Requirements:

• 5+ years of experience in data analysis, statistical modeling, and/or machine learning

Other Requirements:

• Strong consulting and client-facing skills

• Excellent communication and presentation skills

• Strong problem-solving and critical thinking skills

• Proficiency in programming languages such as Python or R

• Experience with data analysis and visualization tools such as SQL, Tableau, Alteryx and Power BI. Experience with Sigma Computing is a plus.

• Strong project management skills

Responsibilities:

• Work collaboratively with clients to understand their business objectives and data-related challenges

• Develop and implement custom data analysis solutions

• Provide expert guidance and advice on data-related issues to clients

• Collaborate with cross-functional teams

• Communicate complex data analysis concepts and results to non-technical stakeholders in a clear and concise manner

Experience Requirements:

• History of conducting quantitative analyses

• Solid SQL skills or expertise in R/Python

Other Requirements:

• Able to present complex analysis results to both technical and non-technical audiences

Responsibilities:

• Shape the data analytics strategy

• Own, drive and deliver multiple BI work-streams

• Determine KPIs

• Design A/B test experiments

• Automate reports and build dashboards

Education Requirements:

• Master’s or Ph.D. in Computer Science, Computer Engineering, Computer Vision, or related field

Experience Requirements:

• Experience in state-of-the-art Generative AI technologies

• Experience designing and implementing AI solutions using Python

• Proficiency in ML and CV toolkits (PyTorch, OpenCV)

• Experience using cloud computing services

Other Requirements:

• Experience transferring technology from research to product

• Able to present results to technical and non-technical audiences

Experience Requirements:

• Strong background in machine learning and programming (Python)

• Experience productionizing machine learning models/pipelines

• Experience with feature engineering and common machine learning algorithms

• Familiarity with backtesting strategies and time-series techniques

Other Requirements:

• Strong programming background

• Understanding of model evaluation metrics

• Ability to stay up to date with ML techniques

• Clearly explain problems, present solutions, and debate strategies in English

Responsibilities:

• Participate in product discussions

• Design, build and maintain production machine learning models and pipelines

• Work closely with data and backend engineers

Benefits:

• Fully remote working environment

• Possibility to work 4 days a week after your probation period

• Freedom to make an impact at a small, self-funded, and profitable tech startup

• Benefits and perks are described below

Education Requirements:

• BSc +4 or 5 years of experience in one of the following domains: IT, statistics, data, or engineering

Experience Requirements:

• 4 years of work experience in a data position

Other Requirements:

• Fluent in English

• You fluently speak SQL and Python (or any other data languages: R, Scala...) + Web Analytics

• You have already used at least one data management tool (Snowflake, DBT, Dataiku, Talend, etc.) and one data visualization tool (Tableau, Amplitude, Power BI, QlikView, etc.)

Responsibilities:

• Conduct descriptive and exploratory analyses to identify valuable insights

• Build dashboards and reports to monitor our performance, i.e., experiments, new features, and customer support

• Work on studies to develop our customer knowledge, i.e., segmentation and personas

• Cooperate with internal teams and support them with data insights to make better decisions

• Feedback on the implementation of our data infrastructure and tools

Benefits:

• 8 full weeks per year of full remote

• Hybrid work model

• Mobility expenses

• Yearly public transport subscriptions or an ecologic voucher

• Good life-work balance

Experience Requirements:

• 4+ years of experience in the latest ML/AI algorithms, Python/Pyspark, Data science stack

Other Requirements:

• Team player

• Strong communicator

• Passion for finding pragmatic and smart solutions

• Solid understanding of math and statistics

• Basics of SQL

• Mastery of Jupyter, pandas, NumPy, matplotlib/seaborn, and scikit-learn

• Ability to write clean and maintainable Python code

• Proficient in English

Responsibilities:

• Designing experiments, testing hypotheses, and building models

• Conducting advanced data analyses and highly complex algorithms

• Discovering insights and identifying opportunities

• Providing data that is congruent and reliable, and validating findings

• Proposing innovative ways to look at problems

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects

Experience Requirements:

• Previous experience working on end-to-end data science projects

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• solve complex data science problems

• work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• implement high-value data-oriented for our software to bring the highest value to our customers

• contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

Experience Requirements:

• Previous experience working on end-to-end data science projects is preferred

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• solve complex data science problems

• work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• implement high-value data-oriented for our software to bring the highest value to our customers

• contribute to a strong mission where AI is key

Benefits:

• Substantial Equity

• Unlimited Flexible Time Away (FTA)

• 401k Matching

• 90% Employee Medical Premium Coverage

• 65% Dependent/Family Medical Premium Coverage Flexible Spending Accounts Employee Referral Program Lunches & Snacks Commuter Benefits Life Insurance Travel Assistance

Education Requirements:

• Ph.D. in Computer Science or Electrical Engineering with a focus on computer vision

Experience Requirements:

• 5 years of industry experience, building and shipping computer vision systems

• 2 years of hands-on experience with deep neural network based methods

Other Requirements:

• Experience with object detection, classification, and tracking

• Strong software development skills

• US citizenship required due to federal requirements

Responsibilities:

• Work on highly impactful computer vision and machine learning problems our customers face

• Develop and productize computer vision algorithms drawing upon computer vision literature and using your own ingenuity

• Collaborate with engineering and product teams to create solutions

Experience Requirements:

• 2+ years experience with real life classic Machine Learning experimentation

• Production grade modeling experience

Responsibilities:

• Supporting our customers with their data science experimentations

• Delivering 100 level introduction to Data Scince training

Education Requirements:

• B.Tech/B.E. in Any Specialization

Experience Requirements:

• 4+ Years

Responsibilities:

• Design, develop, and deploy AI and Machine Learning models using Python and related technologies.

• Collaborate with cross-functional teams to identify and understand business requirements and translate them into technical solutions.

• Train and fine-tune models using large datasets and apply advanced techniques to improve performance and accuracy.

• Develop and optimize algorithms to process and analyse complex data sets.

• Implement Natural Language Processing techniques like text classification, sentiment analysis, and language generation tasks whenever required

Benefits:

• Competitive salary and bonus structure

• World-class Medical & Accidental coverage

• Internet reimbursement

Education Requirements:

• BE/M.Tech degree required with technical focus (e.g. mathematics, computer science, physics, statistics)

• MS or PhD degree preferred

Experience Requirements:

• 7-10 years

Other Requirements:

• Knowledge of R and AI/ML is a must

Responsibilities:

• Execute the data vision strategy and goals ensuring those are consistent with the business requirements.

• As part of the Data Science team, help develop analytical capabilities, data products and tools to enable data query and deliver solutions to business requests

• Contribute and provide thought leadership to the business and key stakeholders.

• Develop new approaches to understand and solve complex business problems such as optimizing product performance and adoption.

• Generate actionable audience insights using advanced statistical techniques such as predictive statistical models, audience profiling, segmentation analysis and test design, exploratory analysis and data mining

Benefits:

• Research & engineering startup spirit.

• Minimum bureaucracy.

• We’re open and encouraging of new ideas.

• Competitive salary.

• Employee stock options plan for anyone who brings value.

Experience Requirements:

• 2+ years of machine learning & AI experience in Python.

• Supervised, non-supervised & semi-supervised learning.

• Particular interest in deep learning and all its forms (convolutional, lstm, bayesian, GAN, etc.) networks.

• Experience with standard ML stacks, such as SVM, LSA, LDA, GD, DT, etc.

• Experience with TensorFlow, Keras, sklearn, pandas, and others.TensorflowJS is a plus

Benefits:

• A comprehensive total rewards program including flexible benefits, competitive compensation, and bonuses.

• Health, Dental, and Vision benefits for you and your family

• Leaders who support your development through coaching and managing opportunities.

• Ability to make a difference and lasting impact.

• Work in a dynamic, collaborative, progressive, and high-performing team.

Education Requirements:

• Advanced degree in computer science, physics, mathematics, engineering, social science, economics or other quantitative fields

Experience Requirements:

• 2+ years of professional experience in a data related environment

• Experience with cloud technologies (ideally AWS/Azure)

• Experience in Python, R or similar statistical tools

• Ability to visualize and communicate complex data solutions

• Ability to write reusable code components

Responsibilities:

• identify client’s needs and pain points, and propose relevant business insights and solutions through a consultative approach;

• create added value from data that decisively advances the business of company;

• collect, analyze and interpret data, put it into context, identify opportunities, risks and potentials and know how to make well-founded forecasts for the success of business models;

• produce reports and translate results into actionable insights to support decision making of senior management, including C-level executives

• consult with clients on the use of data and analytics to solve complex business challenges and evangelize the use of AI

Experience Requirements:

• Junior

• Middle

• Senior